Fantasy Premier League Server

Fantasy Premier League Server

A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.

rishijatia

Data & App Analysis
Visit Server

README

Fantasy Premier League MCP Server

PyPI version Package Check PyPI - Python Version License: MIT Downloads <a href="https://glama.ai/mcp/servers/2zxsxuxuj9"> <img width="380" height="200" src="https://glama.ai/mcp/servers/2zxsxuxuj9/badge" />

A Model Context Protocol (MCP) server that provides access to Fantasy Premier League (FPL) data and tools. This server allows you to interact with FPL data in Claude for Desktop and other MCP-compatible clients.

Demo of the Fantasy Premier League MCP Server in action

Fantasy Premier League MCP Demo

Supported Platforms

  • Claude Desktop
  • Cursor
  • Windsurf
  • Other MCP Compatible Desktop LLMs

Mobile is currently not supported.

Features

  • Rich Player Data: Access comprehensive player statistics from the FPL API
  • Team Information: Get details about Premier League teams
  • Gameweek Data: View current and past gameweek information
  • Player Search: Find players by name or team
  • Player Comparison: Compare detailed statistics between any two players

Requirements

  • Python 3.10 or higher
  • Claude Desktop (for AI integration)

Installation

Option 1: Install from PyPI (Recommended)

pip install fpl-mcp

Option 1b: Install with Development Dependencies

pip install "fpl-mcp[dev]"

Option 2: Install from GitHub

pip install git+https://github.com/rishijatia/fantasy-pl-mcp.git

Option 3: Clone and Install Locally

git clone https://github.com/rishijatia/fantasy-pl-mcp.git
cd fantasy-pl-mcp
pip install -e .

Running the Server

After installation, you have several options to run the server:

1. Using the CLI command

fpl-mcp

2. Using the Python module

python -m fpl_mcp

3. Using with Claude Desktop

Configure Claude Desktop to use the installed package by editing your claude_desktop_config.json file:

Method 1: Using the Python module directly (most reliable)

{
  "mcpServers": {
    "fantasy-pl": {
      "command": "python",
      "args": ["-m", "fpl_mcp"]
    }
  }
}

Method 2: Using the installed command with full path (if installed with pip)

{
  "mcpServers": {
    "fantasy-pl": {
      "command": "/full/path/to/your/venv/bin/fpl-mcp"
    }
  }
}

Replace /full/path/to/your/venv/bin/fpl-mcp with the actual path to the executable. You can find this by running which fpl-mcp in your terminal after activating your virtual environment.

Note: Using just "command": "fpl-mcp" may result in a spawn fpl-mcp ENOENT error since Claude Desktop might not have access to your virtual environment's PATH. Using the full path or the Python module approach helps avoid this issue.

Usage

In Claude for Desktop

  1. Start Claude for Desktop
  2. You should see FPL tools available via the hammer icon
  3. Example queries:
    • "Compare Mohamed Salah and Erling Haaland over the last 5 gameweeks"
    • "Find all Arsenal midfielders"
    • "What's the current gameweek status?"
    • "Show me the top 5 forwards by points"

Fantasy-PL MCP Usage Instructions

Basic Commands:

  • Compare players: "Compare [Player1] and [Player2]"
  • Find players: "Find players from [Team]" or "Search for [Player Name]"
  • Fixture difficulty: "Show upcoming fixtures for [Team]"
  • Captain advice: "Who should I captain between [Player1] and [Player2]?"

Advanced Features:

  • Statistical analysis: "Compare underlying stats for [Player1] and [Player2]"
  • Form check: "Show me players in form right now"
  • Differential picks: "Suggest differentials under 10% ownership"
  • Team optimization: "Rate my team and suggest transfers"

Tips:

  • Be specific with player names for accurate results
  • Include positions when searching (FWD, MID, DEF, GK)
  • For best captain advice, ask about form, fixtures, and underlying stats
  • Request comparison of specific metrics (xG, shots in box, etc.

MCP Inspector for Development

For development and testing:

# If you have mcp[cli] installed
mcp dev -m fpl_mcp

# Or use npx
npx @modelcontextprotocol/inspector python -m fpl_mcp

Available Resources

  • fpl://static/players - All player data with comprehensive statistics
  • fpl://static/players/{name} - Player data by name search
  • fpl://static/teams - All Premier League teams
  • fpl://static/teams/{name} - Team data by name search
  • fpl://gameweeks/current - Current gameweek data
  • fpl://gameweeks/all - All gameweeks data
  • fpl://fixtures - All fixtures for the current season
  • fpl://fixtures/gameweek/{gameweek_id} - Fixtures for a specific gameweek
  • fpl://fixtures/team/{team_name} - Fixtures for a specific team
  • fpl://players/{player_name}/fixtures - Upcoming fixtures for a specific player
  • fpl://gameweeks/blank - Information about upcoming blank gameweeks
  • fpl://gameweeks/double - Information about upcoming double gameweeks

Available Tools

  • get_gameweek_status - Get precise information about current, previous, and next gameweeks
  • analyze_player_fixtures - Analyze upcoming fixtures for a player with difficulty ratings
  • get_blank_gameweeks - Get information about upcoming blank gameweeks
  • get_double_gameweeks - Get information about upcoming double gameweeks
  • analyze_players - Filter and analyze FPL players based on multiple criteria
  • analyze_fixtures - Analyze upcoming fixtures for players, teams, or positions
  • compare_players - Compare multiple players across various metrics
  • check_fpl_authentication - Check if FPL authentication is working correctly
  • get_my_team - View your authenticated team (requires authentication)
  • get_team - View any team with a specific ID (requires authentication)
  • get_manager_info - Get manager details (requires authentication)

Prompt Templates

  • player_analysis_prompt - Create a prompt for analyzing an FPL player in depth
  • transfer_advice_prompt - Get advice on player transfers based on budget and position
  • team_rating_prompt - Create a prompt for rating and analyzing an FPL team
  • differential_players_prompt - Create a prompt for finding differential players with low ownership
  • chip_strategy_prompt - Create a prompt for chip strategy advice

Development

Adding Features

To add new features:

  1. Add resource handlers in the appropriate file within fpl_mcp/fpl/resources/
  2. Add tool handlers in the appropriate file within fpl_mcp/fpl/tools/
  3. Update the __main__.py file to register new resources and tools
  4. Test using the MCP Inspector before deploying to Claude for Desktop

Authentication

To use features requiring authentication (like accessing your team or private leagues), you need to set up your FPL credentials:

# Run the credential setup tool
fpl-mcp-config setup

This interactive tool will:

  1. Prompt for your FPL email, password, and team ID
  2. Let you choose between storing in config.json or .env file
  3. Save credentials securely to ~/.fpl-mcp/

You can test your authentication with:

fpl-mcp-config test

Alternatively, you can manually configure authentication:

  1. Create ~/.fpl-mcp/.env file with:

    FPL_EMAIL=your_email@example.com
    FPL_PASSWORD=your_password
    FPL_TEAM_ID=your_team_id
    
  2. Or create ~/.fpl-mcp/config.json:

    {
      "email": "your_email@example.com",
      "password": "your_password",
      "team_id": "your_team_id"
    }
    
  3. Or set environment variables:

    export FPL_EMAIL=your_email@example.com
    export FPL_PASSWORD=your_password
    export FPL_TEAM_ID=your_team_id
    

Limitations

  • The FPL API is not officially documented and may change without notice
  • Only read operations are currently supported

Troubleshooting

Common Issues

1. "spawn fpl-mcp ENOENT" error in Claude Desktop

This occurs because Claude Desktop cannot find the fpl-mcp executable in its PATH.

Solution: Use one of these approaches:

  • Use the full path to the executable in your config file

    {
      "mcpServers": {
        "fantasy-pl": {
          "command": "/full/path/to/your/venv/bin/fpl-mcp"
        }
      }
    }
    
  • Use Python to run the module directly (preferred method)

    {
      "mcpServers": {
        "fantasy-pl": {
          "command": "python",
          "args": ["-m", "fpl_mcp"]
        }
      }
    }
    

2. Server disconnects immediately

If the server starts but immediately disconnects:

  • Check logs at ~/Library/Logs/Claude/mcp*.log (macOS) or %APPDATA%\Claude\logs\mcp*.log (Windows)
  • Ensure all dependencies are installed
  • Try running the server manually with python -m fpl_mcp to see any errors

3. Server not showing in Claude Desktop

If the hammer icon doesn't appear:

  • Restart Claude Desktop completely
  • Verify your claude_desktop_config.json has correct JSON syntax
  • Ensure the path to Python or the executable is absolute, not relative

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

For more details, please refer to the CONTRIBUTING.md file.

Acknowledgments

Citation

If you use this package in your research or project, please consider citing it:

@software{fpl_mcp,
  author = {Jatia, Rishi and Fantasy PL MCP Contributors},
  title = {Fantasy Premier League MCP Server},
  url = {https://github.com/rishijatia/fantasy-pl-mcp},
  version = {0.1.0},
  year = {2025},
}

Recommended Servers

VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
AIO-MCP Server

AIO-MCP Server

🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from

Featured
Local
Hyperbrowser MCP Server

Hyperbrowser MCP Server

Welcome to Hyperbrowser, the Internet for AI. Hyperbrowser is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation. Built specifically for AI developers, it eliminates the headaches of local infrastructure and performance bottlenecks, allowing you to

Featured
Local
BigQuery

BigQuery

This is a server that lets your LLMs (like Claude) talk directly to your BigQuery data! Think of it as a friendly translator that sits between your AI assistant and your database, making sure they can chat securely and efficiently.

Featured
Perplexity Chat MCP Server

Perplexity Chat MCP Server

MCP Server for the Perplexity API.

Featured
Web Research Server

Web Research Server

A Model Context Protocol server that enables Claude to perform web research by integrating Google search, extracting webpage content, and capturing screenshots.

Featured
MySQL Server

MySQL Server

Allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.

Featured
Aindreyway Codex Keeper

Aindreyway Codex Keeper

Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.

Featured
Etherscan Tools

Etherscan Tools

Facilitates interaction with Ethereum blockchain data via Etherscan's API, providing real-time access to balances, transactions, token transfers, contract ABIs, gas prices, and ENS name resolutions.

Featured
Perplexity Deep Research

Perplexity Deep Research

A server that allows AI assistants to perform web searches using Perplexity's sonar-deep-research model with citation support.

Featured