FPL Advisor MCP Server
An MCP server that provides Fantasy Premier League advice, including transfer suggestions, captain recommendations, and differential player discovery.
README
FPL Advisor MCP Server
A Model Context Protocol (MCP) server that gives Fantasy Premier League advice. Built with FastMCP.
Tools
| Tool | Description |
|---|---|
recommend_transfer(team_json) |
Suggest transfer targets based on form and value |
recommend_captain(team_json) |
Pick the best captain from your squad |
find_differentials(max_price) |
Find low-ownership players under a price ceiling |
team_json is a JSON array of player names, e.g. '["Erling Haaland", "Mohamed Salah"]'.
1. Run Locally
# Install uv if you don't have it
curl -LsSf https://astral.sh/uv/install.sh | sh
# Run with MCP Inspector (opens a browser UI to test tools)
uv run mcp dev server.py
# Or run the server directly
uv run python server.py
2. Connect to Claude Desktop / Cursor
Add this to your Claude Desktop config file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"fpl-advisor": {
"command": "uv",
"args": ["run", "--directory", "/ABSOLUTE/PATH/TO/fpl-advisor-mcp", "python", "server.py"]
}
}
}
Replace /ABSOLUTE/PATH/TO/fpl-advisor-mcp with the actual path, then restart Claude Desktop.
3. Connect to Claude Code
Add the MCP server to your project settings:
claude mcp add fpl-advisor -- uv run --directory /ABSOLUTE/PATH/TO/fpl-advisor-mcp python server.py
Sample prompts to try
Once connected, try these prompts in Claude Code:
Who should I captain this week? My team has Haaland, Salah, Saka, Palmer, and Watkins.
I have £7m to spend — find me a differential pick that no one else owns.
Suggest a transfer for my team: Haaland, Salah, Trent, Saka, Watkins.
Who gives me the best value for money?
Compare Cole Palmer vs Bukayo Saka — who's the better FPL asset right now?
Build me a front three under £30m using the best form-to-price ratio.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.