Gradio MCP endpoint
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2025-06-01 15:26:20
2025-06-11 12:39:01
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63 values
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_add_to_cellar
add a bottle to the cellar. Returns: Values to be returned.
details
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_remove_from_cellar
remove a bottle from the cellar. Returns: Values to be returned.
details
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_cellar_inventory
list the bottles in the cellar. Returns: Values to be returned.
details
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_cellar_reset
reset the cellar. Returns: Values to be returned.
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_find_data_bottle
find data on bottle. Returns: Values to be returned.
details
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_find_data_bottle_image
find data on bottle. Returns: Values to be returned.
image
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_info_bottle
analyse une image de bouteille. Returns: Values to be returned.
image
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_get_search_bottle
search botlle db. Returns: Values to be returned.
details
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_add_commment_bottle
add a comment on a bottle. Returns: Values to be returned.
details
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_add_commment_bottle_image
add a comment on a bottle. Returns: Values to be returned.
details, image
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_get_commment_bottle
ask for the list of comments on a bottle. Returns: Values to be returned.
details
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_get_commment_bottle_image
ask for the list of comments on a bottle. Returns: Values to be returned.
image
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-thewinestain.hf.space/gradio_api/mcp/sse
TheWineStain_get_best_bottle
ask for the best bottle comments. Returns: Values to be returned.
TheWineStain
https://huggingface.co/spaces/Agents-MCP-Hackathon/TheWineStain
1
2025-06-05T12:13:18.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-geocalc-mcp.hf.space/gradio_api/mcp/sse
geocalc_mcp_get_coords_from_address
Converts a street address into latitude and longitude coordinates. Returns: A formatted string with the coordinates "Lat: XX.XXXX, Lon: YY.YYYY", or an error message if the address is not found.
address
geocalc-mcp
https://huggingface.co/spaces/Agents-MCP-Hackathon/geocalc-mcp
1
2025-06-05T15:31:20.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-geocalc-mcp.hf.space/gradio_api/mcp/sse
geocalc_mcp_calculate_direct_distance
Calculates the distance between two points on the Earth's surface using the Haversine formula. Returns: The distance between the two points in kilometers.
lat1, lon1, lat2, lon2, unit
geocalc-mcp
https://huggingface.co/spaces/Agents-MCP-Hackathon/geocalc-mcp
1
2025-06-05T15:31:20.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-geocalc-mcp.hf.space/gradio_api/mcp/sse
geocalc_mcp_get_route_data
Fetches optimized route data from the OpenRouteService API for a given start/end point and travel mode. This is the primary data-gathering tool. Its output is a compact JSON string meant to be used by other tools. Returns: A compact JSON string containing optimized route details with decoded coordinates.
start_lat, start_lon, end_lat, end_lon, mode
geocalc-mcp
https://huggingface.co/spaces/Agents-MCP-Hackathon/geocalc-mcp
1
2025-06-05T15:31:20.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-geocalc-mcp.hf.space/gradio_api/mcp/sse
geocalc_mcp_extract_route_time
Extract travel time from route data. Returns: Time in human format like '15 min' or '1 h 23 min'
route_json
geocalc-mcp
https://huggingface.co/spaces/Agents-MCP-Hackathon/geocalc-mcp
1
2025-06-05T15:31:20.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-geocalc-mcp.hf.space/gradio_api/mcp/sse
geocalc_mcp_extract_route_distance
Extract distance from route data. Returns: Distance like '5.2 km'
route_json
geocalc-mcp
https://huggingface.co/spaces/Agents-MCP-Hackathon/geocalc-mcp
1
2025-06-05T15:31:20.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-geocalc-mcp.hf.space/gradio_api/mcp/sse
geocalc_mcp_generate_route_image
Extract route image from JSON data and optionally add custom title. Returns: The generated route image
route_json, custom_title
geocalc-mcp
https://huggingface.co/spaces/Agents-MCP-Hackathon/geocalc-mcp
1
2025-06-05T15:31:20.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-geocalc-mcp.hf.space/gradio_api/mcp/sse
geocalc_mcp_get_points_of_interest
Find points of interest near given coordinates. Increase radius if not found (10km is default), try with more categories if not found any poi. Returns: Formatted text with POI information
lat, lon, radius_km, categories
geocalc-mcp
https://huggingface.co/spaces/Agents-MCP-Hackathon/geocalc-mcp
1
2025-06-05T15:31:20.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-mcp-server-linkedin-image-generator.hf.space/gradio_api/mcp/sse
MCP_Server_LinkedIn_Image_Generator_process_linkedin_image
Process an image for LinkedIn optimization using Flux Kontext. Returns: Processed image optimized for LinkedIn
image
MCP_Server_LinkedIn_Image_Generator
https://huggingface.co/spaces/Agents-MCP-Hackathon/MCP_Server_LinkedIn_Image_Generator
1
2025-06-05T19:19:34.000Z
gradio, mcp-server-track, image-processing, professional-photos, linkedin-optimization, mcp-server, region:us
https://agents-mcp-hackathon-viton-mcp-server.hf.space/gradio_api/mcp/sse
viton_mcp_server_run_viton
Run the Virtual Try-On model with provided images path or URLs.
model_image_path, garment_image_path, model_url, garment_url, n_steps, image_scale, seed
viton-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/viton-mcp-server
1
2025-06-06T01:02:11.000Z
gradio, mcp-server-track, viton, OOTDiffusion, FLUX, mcp-server, region:us
https://agents-mcp-hackathon-viton-mcp-server.hf.space/gradio_api/mcp/sse
viton_mcp_server_run_new_garment
Run the Virtual Try-On model with provided model image and garment prompt.
model_image_path, garment_prompt, model_url, n_steps, image_scale, seed
viton-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/viton-mcp-server
1
2025-06-06T01:02:11.000Z
gradio, mcp-server-track, viton, OOTDiffusion, FLUX, mcp-server, region:us
https://agents-mcp-hackathon-calculator-mcp-marcodsn.hf.space/gradio_api/mcp/sse
calculator_mcp_marcodsn_safe_math_eval
Enter a math formula using the supported operators and functions. **Supported Operators:** - `+` (addition) - `-` (subtraction) - `*` (multiplication) - `/` (division) - `**` (power) - `%` (modulus) - `<`, `<=`, `==`, `!=`, `>=`, `>` (comparisons) - `&`, `|`, `~` (bitwise and logical operators) **Supported Functions:** - Trigonometric: `sin`, `cos`, `tan`, `arcsin`, `arccos`, `arctan`, `arctan2` - Hyperbolic: `sinh`, `cosh`, `tanh`, `arcsinh`, `arccosh`, `arctanh` - Logarithmic & Exponential: `log`, `log10`, `log1p`, `exp`, `expm1` - Other: `sqrt`, `abs`, `where`, `complex`, `real`, `imag`, `conj` **Examples:** - `exp(2) + sqrt(9)` - `log(10) / 2` - `where(5 > 2, 10, 0)` - `sin(3.14/2) * 2` - `abs(-7) + 5**2` - `log1p(9)` - `real(complex(3, 4))` - `arctan2(1, 1)` - `tanh(2) > 0.9`. Returns: The result of the evaluation
expression
calculator-mcp-marcodsn
https://huggingface.co/spaces/Agents-MCP-Hackathon/calculator-mcp-marcodsn
1
2025-06-06T07:28:01.000Z
gradio, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-smartenterprisemcpagents.hf.space/gradio_api/mcp/sse
SmartEnterpriseMCPAgents_mcphawk_get_holiday_list
Fetches the official holiday list for MCPHawk Inc for the current calendar year. This tool is intended for HR personnel or MCPHawk Inc-based employees who need access to the national holiday calendar. It reads from a pre-defined CSV file (`sample-data/holiday.csv`) and returns a structured list of public holidays for India, including both the date and the holiday name. Note: This tool is *MCPHawk Inc-specific* and should **not** be used for employee queries related to other countries (e.g., US, UK). It may, however, be used by HR professionals who are cross-referencing or learning about MCPHawk Inc’s holiday structure. **Usage:** No input required. Simply call this tool to retrieve the list of holidays for the current calendar year. **Returns:** A list of strings, each formatted as: "YYYY-MM-DD: Holiday Name" **Example Response:** [ "2025-01-26: Republic Day (Optional: No)", "2025-03-31: Qutub-e-Ramzan (Optional: Yes)", "2025-08-15: Independence Day (Optional: No)", "2025-10-21: Diwali (Optional: No)", "2025-12-25: Christmas (Optional: No)" ] If the data file is unavailable, a default set of standard MCPHawk Inc holidays is returned.
SmartEnterpriseMCPAgents
https://huggingface.co/spaces/Agents-MCP-Hackathon/SmartEnterpriseMCPAgents
1
2025-06-06T12:00:04.000Z
gradio, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-smartenterprisemcpagents.hf.space/gradio_api/mcp/sse
SmartEnterpriseMCPAgents_mcphawk_get_leave_type_policy
Returns definitions, yearly limits, and applicability rules for various leave types in MCPHawk Inc. This tool provides a structured summary of leave types applicable to MCPHawk Inc employees. It includes details such as: - Type of leave (e.g., Sick Leave, Paternity Leave, Earned Leave, Compensatory Leave) - Maximum allowed days per calendar year - Who is eligible to take each type of leave - Brief applicability rules Note: Leave policies can change from year to year based on organizational and legal updates. This tool uses a predefined CSV file (`sample-data/leave_type_policies.csv`) to reflect the current year’s leave policy. This tool is **MCPHawk Inc** and should not be used to interpret or query policies of other countries. HR personnel, PeopleOps systems, or employee support bots can use this to surface MCPHawk Inc leave policy details. **Input:** None required. **Returns:** A dictionary mapping leave types to their attributes: - `description`: What the leave is for - `max_days_per_year`: Limit for the current calendar year - `applicability`: Who is eligible (e.g., all employees, only male employees, post-confirmation only, etc.) **Example Response:** { "sick_leave": { "description": "Short-term illness or health-related absence", "max_days_per_year": 6, "applicability": "All employees" }, "paternity_leave": { "description": "Leave for new fathers during childbirth", "max_days_per_year": 10, "applicability": "Male employees only" }, "compensatory_leave": { "description": "Leave granted in lieu of working on holidays or weekends", "max_days_per_year": 5, "applicability": "All employees with approved overtime" } }
SmartEnterpriseMCPAgents
https://huggingface.co/spaces/Agents-MCP-Hackathon/SmartEnterpriseMCPAgents
1
2025-06-06T12:00:04.000Z
gradio, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-smartenterprisemcpagents.hf.space/gradio_api/mcp/sse
SmartEnterpriseMCPAgents_mcphawk_get_employee_profile
Returns the detailed employee profile for a given employee. This tool retrieves the profile details for an individual employee, including role, cloud expertise, data warehouse tools, domain exposure, office location, gender, and other relevant attributes. It queries data from the internal employee master database (`EMPLOYEE_MASTER_DB`) and returns the complete profile as a dictionary. This function is typically used in internal workforce management, reporting dashboards, or talent mapping systems within MCPHawk Inc to retrieve standardized employee data. **Input:** - `employee_name` (str): Full name of the employee (case-insensitive matching recommended) **Returns:** A dictionary containing: - `employee_name`: Name of the employee - `employee_profile`: A dictionary of profile details, such as: { "role": "Sr. DE", "cloud_experties": "AWS", "cloud_native_experties": "dbt", "dw_experties": "Snowflake", "domain_exposure": "Banking & Insurance", "office_location": "Bangalore", "date_of_joining": "2022-08-14", "gender": "Male", "allocation": "Billable", "resume": "resume_amit_sharma.png" } If the employee is not found, a fallback message is returned instead of the profile. **Example Response:** { "employee_name": "Amit Sharma", "employee_profile": { "role": "Sr. DE", "cloud_experties": "AWS", "cloud_native_experties": "dbt", "dw_experties": "Snowflake", "domain_exposure": "Banking & Insurance", "office_location": "Bangalore", "date_of_joining": "2022-08-14", "gender": "Male", "allocation": "Billable", "resume": "resume_amit_sharma.pdf" } }
employee_name
SmartEnterpriseMCPAgents
https://huggingface.co/spaces/Agents-MCP-Hackathon/SmartEnterpriseMCPAgents
1
2025-06-06T12:00:04.000Z
gradio, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-smartenterprisemcpagents.hf.space/gradio_api/mcp/sse
SmartEnterpriseMCPAgents_mcphawk_get_employee_leave_balance
Returns the current leave balances for a given employee (India-specific). This tool retrieves leave balance details for an individual employee based in India for the current calendar year. The data includes available days across different leave types (e.g., sick leave, earned leave, paternity leave), and is loaded from the predefined CSV file `sample-data/employee_leave_balances.csv`. Note: This tool is intended only for *India-based employees*. It should not be used for employees located in other countries. HR teams managing India operations or evaluating India leave data can use this to view an employee's current leave status. **Input:** - `employee_name` (str): Full name of the employee (case-insensitive matching recommended when implementing full system) **Returns:** A dictionary containing: - `employee_name`: The name of the employee - `year`: The current year - `leave_balances`: A dictionary of leave types and their available days, e.g.: { "sick_leave": {"available_days": 4, "note": "Refer to policy for applicability."}, "paternity_leave": {"available_days": 10, "note": "Refer to policy for applicability."} } If the employee is not found, a fallback message is returned in place of `leave_balances`. **Example Response:** { "employee_name": "Amit Sharma", "year": 2025, "leave_balances": { "sick_leave": {"available_days": 6, "note": "Refer to policy for applicability."}, "earned_leave": {"available_days": 12, "note": "Refer to policy for applicability."} } }
employee_name
SmartEnterpriseMCPAgents
https://huggingface.co/spaces/Agents-MCP-Hackathon/SmartEnterpriseMCPAgents
1
2025-06-06T12:00:04.000Z
gradio, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-smartenterprisemcpagents.hf.space/gradio_api/mcp/sse
SmartEnterpriseMCPAgents_mcphawk_suggest_bench_match
Suggests bench employees (allocation = "On Bench") who match the given employee’s skill profile. **Input:** - `employee_name` (str): Name of the employee to find similar bench profiles for. - `match_level` (str): One of `"strict"`, `"partial"`, or `"none"`: - `"strict"` = Match in all 4 skill dimensions. - `"partial"` = Match in at least 2 of 4 dimensions. - `"none"` = Match in fewer than 2 dimensions. **Returns:** A dictionary with: - `bench_matches`: Dictionary of up to 5 employee profiles who are on bench. **Example Response:** { "bench_matches": { "Neha Kapoor": { "role": "Architect", "cloud_experties": "Azure", "cloud_native_experties": "Fivetran", "dw_experties": "Databricks", "domain_exposure": "Retail", "allocation": "On Bench" }, "Rahul Desai": { "role": "DE", "cloud_experties": "AWS", "cloud_native_experties": "Glue", "dw_experties": "Redshift", "domain_exposure": "Healthcare", "allocation": "On Bench" } } }
employee_name
SmartEnterpriseMCPAgents
https://huggingface.co/spaces/Agents-MCP-Hackathon/SmartEnterpriseMCPAgents
1
2025-06-06T12:00:04.000Z
gradio, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-smartenterprisemcpagents.hf.space/gradio_api/mcp/sse
SmartEnterpriseMCPAgents_mcphawk_get_project_details
Returns comprehensive metadata about an MCPHawk Inc projects This tool provides detailed information about a specific project, including: - Project start and end dates - Project classification - 'Tier 1 (High budget, long duration, senior involvement)' - 'Tier 2 (Medium budget and duration)', - 'Tier 3 (Low effort, short-term, often POC or pilot-level) - Impact of the project at customer side to understand what it means to customer and evaluate the risk during execution. - Enablement - Optimization - Innovation - Project complexity to understand and mitigate any project risk during execution and values are - Very High - High - Medium - Simple - Technology detail like - cloud environment (AWS, GCP, Azure) - cloud native tool (dbt, Fivetran, HVR etc) - Data Warehouse Tools (snowflake, databricks, Spark etc) - Project Domain line Marketing, Healthcare, Finance to have a better resource deployment for the succes. - Project Cost in USD to understand the size of the project, so revenue mapping can be done. This tool is useful for project managers, resource planners, and leadership to get a snapshot of project details for risk assessment and future planning **Input:** - `project_name` (str): The name of the project to retrieve details for. **Returns:** A dictionary containing: - `project_name`: The queried project’s name - `start_date`: Project start date (YYYY-MM-DD) - `end_date`: Project end date (YYYY-MM-DD) - `classification`: Project classification level (e.g., Tier 1, Tier 2, Tier 3) - `customer_impact`: Level of impact on customers (e.g., Low, Moderate, High, Innovation, Optimization, Enablement) - `complexity`: Project complexity (e.g., Medium, Very High) - `cloud_environment`: Cloud environment used (e.g., AWS, Azure, GCP, None) - `cloud_native_tool`: Cloud-native tool used (e.g., Fivetran, Matillion, None) - `dw_tool`: Data warehouse or processing tool used (e.g., Databricks, Synapse, Apache Spark) - `project_domain`: Domain or industry focus of the project (e.g., Healthcare, Travel & Hospitality) - `total_cost`: Total project cost in INR (float) If the project is not found, returns a message indicating absence of data. **Example Response:** { "project_name": "Grow Efficient Synergies", "start_date": "2025-02-11", "end_date": "2025-10-08", "classification": "Tier 1 (High budget, long duration, senior involvement)", "customer_impact": "Enablement", "complexity": "Medium", "cloud_environment": "Azure", "cloud_native_tool": "Fivetran", "dw_tool": "Snowflake", "project_domain": "Healthcare", "total_cost": 1018444.0 }
project_name
SmartEnterpriseMCPAgents
https://huggingface.co/spaces/Agents-MCP-Hackathon/SmartEnterpriseMCPAgents
1
2025-06-06T12:00:04.000Z
gradio, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-smartenterprisemcpagents.hf.space/gradio_api/mcp/sse
SmartEnterpriseMCPAgents_mcphawk_get_project_milestones
Returns all scheduled milestones and their dates for a given MCPHawk Inc project. This tool delivers a detailed timeline of milestones for a project, including: - Milestone names (e.g., Sprint-1, Sprint-2, QA Release, Production Release) - Corresponding milestone dates - Planned Cumulative Burn in USD for different project milestones - Actual Burn based on MCPHawk Inc employee billing - Cumulative Actual Burn rate basedon Actual Burn rate values (This is important to understand the financials of the project) This tool is helpful for project managers, scrum masters, and stakeholders to track progress, important delivery dates and understand if project is running within budget or not and understnad financial health of the project. **Input:** - `project_name` (str): The project whose milestones are requested. **Returns:** A dictionary containing: - `project_name` (str): The name of the project - `milestones` (list): A list of dictionaries, each with: - `milestone` (str): Name of the milestone (e.g., "Sprint-1", "QA Release") - `milestone_date` (date): Scheduled date for the milestone (in `YYYY-MM-DD` format) - `planned_cumulative_burn` (float): Planned cumulative burn amount by this milestone - `actual_burn` (float): Actual burn recorded for this milestone period - `cumulative_actual_burn` (float): Cumulative total of actual burn up to this milestone If no milestones are found, returns a message indicating absence of data. **Example Response:** { "project_name": "Grow Efficient Synergies", "milestones": [ { "milestone": "Sprint-1", "milestone_date": "2025-02-25", "planned_cumulative_burn": 113160.0, "actual_burn": 106528.85, "cumulative_actual_burn": 106529.0 }, { "milestone": "Sprint-2", "milestone_date": "2025-03-11", "planned_cumulative_burn": 226321.0, "actual_burn": 111444.79, "cumulative_actual_burn": 217974.0 }, { "milestone": "UAT Release", "milestone_date": "2025-05-20", "planned_cumulative_burn": 905283.52, "actual_burn": 107937.74, "cumulative_actual_burn": 881532.64 }, { "milestone": "Production Release", "milestone_date": "2025-05-27", "planned_cumulative_burn": 1018443.96, "actual_burn": 107682.72, "cumulative_actual_burn": 989215.36 } ] }
project_name
SmartEnterpriseMCPAgents
https://huggingface.co/spaces/Agents-MCP-Hackathon/SmartEnterpriseMCPAgents
1
2025-06-06T12:00:04.000Z
gradio, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-smartenterprisemcpagents.hf.space/gradio_api/mcp/sse
SmartEnterpriseMCPAgents_get_employee_project_assignment
Returns the mapping of an employee to their project and role within that project for MCPHawk Inc. This tool provides a simple overview of which project an employee is assigned to and their specific role on that project. This tool is useful for team leads, project managers, and HR systems needing to quickly identify employee assignments and responsibilities. **Input:** - `employee_name` (str): The full name of the employee whose project-role mapping is requested. **Returns:** A dictionary containing: - `project_name`: Name of the project the employee is working on - `role`: The employee’s role within that project (e.g., SDE, Architect, DE) If no mapping is found for the given employee, returns a message indicating absence of data. **Example Response:** { "project_name": "Aggregate Innovative Paradigms", "role": "Architect" }
employee_name
SmartEnterpriseMCPAgents
https://huggingface.co/spaces/Agents-MCP-Hackathon/SmartEnterpriseMCPAgents
1
2025-06-06T12:00:04.000Z
gradio, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-financial-news-mcp-server.hf.space/gradio_api/mcp/sse
Financial_News_MCP_Server_run_financial_statements
ticker, report_period_gte, report_period_lte, statement_type, period, limit, api_key
Financial_News_MCP_Server
https://huggingface.co/spaces/Agents-MCP-Hackathon/Financial_News_MCP_Server
1
2025-06-06T14:59:11.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-daggerheart-card-reflavor-generator.hf.space/gradio_api/mcp/sse
daggerheart_card_reflavor_generator_generate_daggerheart_card
Generate a full Daggerheart domain card image with illustration and layout. Returns: Path to the generated card image.
card_title, image_description
daggerheart-card-reflavor-generator
https://huggingface.co/spaces/Agents-MCP-Hackathon/daggerheart-card-reflavor-generator
1
2025-06-06T21:43:18.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-craftjest.hf.space/gradio_api/mcp/sse
CraftJest_generate_unit_test
Generates a Jest unit test file for the provided source code using the Anthropic API. This function leverages the 'QA-Sentinel' automated test engineering bot to create comprehensive unit tests aiming for 100% statement, branch, function, and line coverage. Returns: The content of the generated Jest test file as a string, or an error message, if the code is not provided or an exception occurs during generation.
code, source_code_path, test_root_dir_path, additional_system_prompt, anthropic_api_key
CraftJest
https://huggingface.co/spaces/Agents-MCP-Hackathon/CraftJest
1
2025-06-07T01:58:23.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-craftjest.hf.space/gradio_api/mcp/sse
CraftJest_setup_jest
Automates the setup of Jest with TypeScript and code coverage in a new project. Returns: A comprehensive guide for Jest setup, including TypeScript, integration and code coverage configuration, generated by the AI., Returns an error message string if an exception occurs.
CraftJest
https://huggingface.co/spaces/Agents-MCP-Hackathon/CraftJest
1
2025-06-07T01:58:23.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-finflow.hf.space/gradio_api/mcp/sse
FinFLow_process_file
Memproses file yang diupload dan menghasilkan preview serta chart
file
FinFLow
https://huggingface.co/spaces/Agents-MCP-Hackathon/FinFLow
1
2025-06-07T12:23:45.000Z
gradio, mcp-server-track, finance, chatbot, ai-assistant, mcp-server, region:us
https://agents-mcp-hackathon-finflow.hf.space/gradio_api/mcp/sse
FinFLow_lambda
txt
FinFLow
https://huggingface.co/spaces/Agents-MCP-Hackathon/FinFLow
1
2025-06-07T12:23:45.000Z
gradio, mcp-server-track, finance, chatbot, ai-assistant, mcp-server, region:us
https://agents-mcp-hackathon-finflow.hf.space/gradio_api/mcp/sse
FinFLow_use_preview_in_chat
Gunakan isi file preview sebagai prompt untuk chatbot.
chat_history
FinFLow
https://huggingface.co/spaces/Agents-MCP-Hackathon/FinFLow
1
2025-06-07T12:23:45.000Z
gradio, mcp-server-track, finance, chatbot, ai-assistant, mcp-server, region:us
https://agents-mcp-hackathon-finflow.hf.space/gradio_api/mcp/sse
FinFLow_lambda_
FinFLow
https://huggingface.co/spaces/Agents-MCP-Hackathon/FinFLow
1
2025-06-07T12:23:45.000Z
gradio, mcp-server-track, finance, chatbot, ai-assistant, mcp-server, region:us
https://agents-mcp-hackathon-finflow.hf.space/gradio_api/mcp/sse
FinFLow_chatbot_response
Menangani respons chatbot
message, history
FinFLow
https://huggingface.co/spaces/Agents-MCP-Hackathon/FinFLow
1
2025-06-07T12:23:45.000Z
gradio, mcp-server-track, finance, chatbot, ai-assistant, mcp-server, region:us
https://agents-mcp-hackathon-finflow.hf.space/gradio_api/mcp/sse
FinFLow_chatbot_response_
Menangani respons chatbot
message, history
FinFLow
https://huggingface.co/spaces/Agents-MCP-Hackathon/FinFLow
1
2025-06-07T12:23:45.000Z
gradio, mcp-server-track, finance, chatbot, ai-assistant, mcp-server, region:us
https://agents-mcp-hackathon-llmstxt.hf.space/gradio_api/mcp/sse
llmstxt_load_registry
This function (load_registry) should always be called first, before using the load_doc function. It will load the registry file and return the content of the registry. Based on that, you will then be able to pick and chose the documentation you want to load. Returns: The content of the registry, that contains the ID, a description and the URL location for each item of the registry, in JSON format
llmstxt
https://huggingface.co/spaces/Agents-MCP-Hackathon/llmstxt
1
2025-06-07T13:25:43.000Z
gradio, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-llmstxt.hf.space/gradio_api/mcp/sse
llmstxt_load_doc
After getting the registry with the load_registry function, you can use this function to load the documentation you want to use. Returns: The documentation content
query
llmstxt
https://huggingface.co/spaces/Agents-MCP-Hackathon/llmstxt
1
2025-06-07T13:25:43.000Z
gradio, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-medcodemcp.hf.space/gradio_api/mcp/sse
MedCodeMCP_on_submit
symptoms_text, history
MedCodeMCP
https://huggingface.co/spaces/Agents-MCP-Hackathon/MedCodeMCP
1
2025-06-07T15:14:33.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-medcodemcp.hf.space/gradio_api/mcp/sse
MedCodeMCP_lambda
MedCodeMCP
https://huggingface.co/spaces/Agents-MCP-Hackathon/MedCodeMCP
1
2025-06-07T15:14:33.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-medcodemcp.hf.space/gradio_api/mcp/sse
MedCodeMCP_update_live_transcription
Real-time transcription updates.
audio
MedCodeMCP
https://huggingface.co/spaces/Agents-MCP-Hackathon/MedCodeMCP
1
2025-06-07T15:14:33.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-htrflow-mcp.hf.space/gradio_api/mcp/sse
htrflow_mcp_htr_text
Extract text from handwritten documents using HTR. returns: str: Extracted text from the image.
image_path, document_type, custom_settings
htrflow_mcp
https://huggingface.co/spaces/Agents-MCP-Hackathon/htrflow_mcp
1
2025-06-07T17:20:34.000Z
gradio, mcp-server-track, htrflow, htr, ocr, api, mcp-server, region:us
https://agents-mcp-hackathon-htrflow-mcp.hf.space/gradio_api/mcp/sse
htrflow_mcp_htrflow_file
Process HTR and return a formatted file for download. Returns: File path for direct download via gr.File (server_name/gradio_api/file=/tmp/gradio/{temp_folder}/{file_name})
image_path, document_type, output_format, custom_settings, server_name
htrflow_mcp
https://huggingface.co/spaces/Agents-MCP-Hackathon/htrflow_mcp
1
2025-06-07T17:20:34.000Z
gradio, mcp-server-track, htrflow, htr, ocr, api, mcp-server, region:us
https://agents-mcp-hackathon-htrflow-mcp.hf.space/gradio_api/mcp/sse
htrflow_mcp_htrflow_visualizer
Visualize HTR results by overlaying text regions and polygons on the original image. Returns: File path to the generated visualization imagegenerated visualization image for direct download via gr.File (server_name/gradio_api/file=/tmp/gradio/{temp_folder}/{file_name}), https://gabriel-htrflow-mcp.hf.space/gradio_api/file=/tmp/gradio/34d5c1a8b7d5445469c4f7c638c490e0e3046b3008a0182f89c688b1b42d139b/htr_visualization.png
image_path, htr_document_path, server_name
htrflow_mcp
https://huggingface.co/spaces/Agents-MCP-Hackathon/htrflow_mcp
1
2025-06-07T17:20:34.000Z
gradio, mcp-server-track, htrflow, htr, ocr, api, mcp-server, region:us
https://agents-mcp-hackathon-emotional-mcp-server.hf.space/gradio_api/mcp/sse
emotional_mcp_server_breathing_exercise
Generate a short calming breathing exercise for a child. Returns: A short calming breathing exercise.
topic
emotional-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/emotional-mcp-server
1
2025-06-07T20:18:08.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-emotional-mcp-server.hf.space/gradio_api/mcp/sse
emotional_mcp_server_soothing_story
Generate a short calming story for a child. Returns: A safe, gentle short story.
theme
emotional-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/emotional-mcp-server
1
2025-06-07T20:18:08.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-emotional-mcp-server.hf.space/gradio_api/mcp/sse
emotional_mcp_server_thought_helper
Reframe a child's negative thought into a positive one. Returns: A supportive, reframed version of the thought.
thought
emotional-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/emotional-mcp-server
1
2025-06-07T20:18:08.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-emotional-mcp-server.hf.space/gradio_api/mcp/sse
emotional_mcp_server_creative_activity
Suggest a creative activity for a child based on their emotion. Returns: A fun and calming creative task.
emotion
emotional-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/emotional-mcp-server
1
2025-06-07T20:18:08.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-emotional-mcp-server.hf.space/gradio_api/mcp/sse
emotional_mcp_server_music_suggestion
Return relaxing message and recommend music based on emotion. Returns: Message with YouTube search suggestion.
feeling
emotional-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/emotional-mcp-server
1
2025-06-07T20:18:08.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-autovideogen.hf.space/gradio_api/mcp/sse
AutoVideoGen_gradio_generate
topic, count
AutoVideoGen
https://huggingface.co/spaces/Agents-MCP-Hackathon/AutoVideoGen
1
2025-06-07T23:27:33.000Z
gradio, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-ade-explorer-mcp.hf.space/gradio_api/mcp/sse
ADE_Explorer_MCP_top_adverse_events_tool
MCP Tool: Finds the top reported adverse events for a given drug. Returns: A Plotly figure, a Pandas DataFrame, and a summary string.
drug_name, top_n, patient_sex, min_age, max_age
ADE-Explorer-MCP
https://huggingface.co/spaces/Agents-MCP-Hackathon/ADE-Explorer-MCP
1
2025-06-08T00:04:48.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-ade-explorer-mcp.hf.space/gradio_api/mcp/sse
ADE_Explorer_MCP_serious_outcomes_tool
MCP Tool: Finds the top reported serious outcomes for a given drug. Returns: A Plotly figure, a Pandas DataFrame, and a summary string.
drug_name, top_n
ADE-Explorer-MCP
https://huggingface.co/spaces/Agents-MCP-Hackathon/ADE-Explorer-MCP
1
2025-06-08T00:04:48.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-ade-explorer-mcp.hf.space/gradio_api/mcp/sse
ADE_Explorer_MCP_drug_event_stats_tool
MCP Tool: Gets the total number of reports for a specific drug and adverse event pair. Returns: A formatted string with the total count of reports.
drug_name, event_name
ADE-Explorer-MCP
https://huggingface.co/spaces/Agents-MCP-Hackathon/ADE-Explorer-MCP
1
2025-06-08T00:04:48.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-ade-explorer-mcp.hf.space/gradio_api/mcp/sse
ADE_Explorer_MCP_time_series_tool
MCP Tool: Creates a time-series plot for a drug-event pair. Returns: A Plotly figure.
drug_name, event_name, aggregation
ADE-Explorer-MCP
https://huggingface.co/spaces/Agents-MCP-Hackathon/ADE-Explorer-MCP
1
2025-06-08T00:04:48.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-ade-explorer-mcp.hf.space/gradio_api/mcp/sse
ADE_Explorer_MCP_report_source_tool
MCP Tool: Creates a pie chart of report sources for a given drug. Returns: A Plotly figure, a Pandas DataFrame, and a summary string.
drug_name, top_n
ADE-Explorer-MCP
https://huggingface.co/spaces/Agents-MCP-Hackathon/ADE-Explorer-MCP
1
2025-06-08T00:04:48.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_load_demo_data
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_update_ui_after_upload
collar_file, assay_file, litho_file, litho_dict_file
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_update_ui_after_upload_
collar_file, assay_file, litho_file, litho_dict_file
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_update_ui_after_upload__
collar_file, assay_file, litho_file, litho_dict_file
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_update_ui_after_upload___
collar_file, assay_file, litho_file, litho_dict_file
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_check_runnable_state
param_0, param_1, param_2, param_3, param_4, param_5, param_6, param_7, param_8, param_9, param_10, param_11
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_check_runnable_state_
param_0, param_1, param_2, param_3, param_4, param_5, param_6, param_7, param_8, param_9, param_10, param_11
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_check_runnable_state__
param_0, param_1, param_2, param_3, param_4, param_5, param_6, param_7, param_8, param_9, param_10, param_11
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_check_runnable_state___
param_0, param_1, param_2, param_3, param_4, param_5, param_6, param_7, param_8, param_9, param_10, param_11
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_check_runnable_state____
param_0, param_1, param_2, param_3, param_4, param_5, param_6, param_7, param_8, param_9, param_10, param_11
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_check_runnable_state_____
param_0, param_1, param_2, param_3, param_4, param_5, param_6, param_7, param_8, param_9, param_10, param_11
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_check_runnable_state______
param_0, param_1, param_2, param_3, param_4, param_5, param_6, param_7, param_8, param_9, param_10, param_11
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_check_runnable_state_______
param_0, param_1, param_2, param_3, param_4, param_5, param_6, param_7, param_8, param_9, param_10, param_11
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_check_runnable_state________
param_0, param_1, param_2, param_3, param_4, param_5, param_6, param_7, param_8, param_9, param_10, param_11
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_check_runnable_state_________
param_0, param_1, param_2, param_3, param_4, param_5, param_6, param_7, param_8, param_9, param_10, param_11
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_check_runnable_state__________
param_0, param_1, param_2, param_3, param_4, param_5, param_6, param_7, param_8, param_9, param_10, param_11
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_check_runnable_state___________
param_0, param_1, param_2, param_3, param_4, param_5, param_6, param_7, param_8, param_9, param_10, param_11
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_run_analysis_pipeline
collar_file, assay_file, litho_file, litho_dict_file, cm_hole, cm_east, cm_north, cm_elev, cm_dip, cm_azi, am_hole, am_from, am_to, lm_hole, lm_from, lm_to, lm_lith, ldm_code, ldm_desc, primary_element, user_context
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_chat_response
message, history
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_generate_section_plots
section_holes, section_width
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-agent-geo.hf.space/gradio_api/mcp/sse
Agent_Geo_update_plan_view_with_selection
selected_holes
Agent_Geo
https://huggingface.co/spaces/Agents-MCP-Hackathon/Agent_Geo
1
2025-06-08T02:24:34.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-frugal-ai-agent.hf.space/gradio_api/mcp/sse
Frugal_AI_Agent_CodeAgent
In this agent, the tool calls will be formulated by the LLM in code format, then parsed and executed.
task
Frugal_AI_Agent
https://huggingface.co/spaces/Agents-MCP-Hackathon/Frugal_AI_Agent
1
2025-06-08T07:31:23.000Z
gradio, agent-demo-track, mcp-server-track, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_get_server_stats
Get server statistics and health information.
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_profile_upsert
MCP Endpoint: profile.upsert Stores the user résumé, skills, salary expectations, and career goals. Keeps personal context so every later call is tailored.
user_id, profile_data
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_get
Get user profile by ID. Returns: Dict with profile data or error message
user_id
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_delete
Delete user profile. Returns: Dict with operation result
user_id
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_jobs_search
MCP Endpoint: jobs.search Pulls fresh job posts, ranks them with GPU embeddings, and returns a fit score. Users see the most relevant roles first, no endless scrolling.
user_id, query, location, job_type
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_get_search_suggestions
Get personalized job search suggestions based on user profile. Returns: Dict with suggested search queries and parameters
user_id
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_clear_job_cache
Clear the job search cache to force fresh results. Returns: Dict with operation result
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_letter_generate
MCP Endpoint: letter.generate Calls an LLM to create a short, personalized cover letter in any tone. Saves time and improves response quality.
user_id, job_description, tone
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_generate_multiple_tones
Generate cover letters in multiple tones for comparison. Returns: Dict with multiple cover letters in different tones
user_id, job_description
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_get_cover_letter_template
Get a basic cover letter template for the specified tone. Returns: Dict with template structure and guidelines
tone
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_qa_reply
MCP Endpoint: qa.reply Drafts concise answers to client questions like "Why should we hire you?" Speeds up Upwork, Fiverr, or LinkedIn chats.
user_id, question, context
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_lambda
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-jobsearch-mcp-server.hf.space/gradio_api/mcp/sse
jobsearch_mcp_server_lambda_
uid
jobsearch-mcp-server
https://huggingface.co/spaces/Agents-MCP-Hackathon/jobsearch-mcp-server
1
2025-06-08T08:17:12.000Z
gradio, mcp-server, region:us
https://agents-mcp-hackathon-mcp-data-analyst.hf.space/gradio_api/mcp/sse
mcp_data_analyst_connect_to_database
This function is used to connect to a database using the provided database URL and returns its schema. Returns: -------, tuple, , schema (str): A string representation of the database schema if the connection is successful,, or an empty string if it fails., status (str): A message indicating the result of the connection attempt., , -----, The dialect is extracted from the URI to determine the database type (e.g., MySQL, PostgreSQL).
db_url
mcp-data-analyst
https://huggingface.co/spaces/Agents-MCP-Hackathon/mcp-data-analyst
1
2025-06-08T11:01:41.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-mcp-data-analyst.hf.space/gradio_api/mcp/sse
mcp_data_analyst_connect_to_file
This function is used to connect to a data source file like CSV or parquet. Returns: -------, tuple, , schema (str): A string representation of the data schema if successful, or an empty string on failure., status (str): A message indicating the success or failure of the connection.
file
mcp-data-analyst
https://huggingface.co/spaces/Agents-MCP-Hackathon/mcp-data-analyst
1
2025-06-08T11:01:41.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-mcp-data-analyst.hf.space/gradio_api/mcp/sse
mcp_data_analyst_user
user_message, chat_history
mcp-data-analyst
https://huggingface.co/spaces/Agents-MCP-Hackathon/mcp-data-analyst
1
2025-06-08T11:01:41.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
https://agents-mcp-hackathon-mcp-data-analyst.hf.space/gradio_api/mcp/sse
mcp_data_analyst_bot
chat_history
mcp-data-analyst
https://huggingface.co/spaces/Agents-MCP-Hackathon/mcp-data-analyst
1
2025-06-08T11:01:41.000Z
gradio, mcp-server-track, agent-demo-track, mcp-server, region:us