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FPL Context MCP server

by sbanthia92·io.github.sbanthia92/fpl-context-mcp·v0.11.1

Live Fantasy Premier League data for AI agents: fixtures, players, squads, injuries. No setup.

B83/100grade B
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If you have run it, two minutes of your experience saves the next person an afternoon.

FPL Context tools

No tool declarations could be read from the package source. They show once the server is installed.

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How FPL Context compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 65% of 48,255 servers

Release history: 5 versions in the registry since 2026-09-26, latest 2026-10-22, typically one every 8 days.

Install FPL Context in Claude Code, Cursor or VS Code

claude mcp add fpl-context-mcp -- uvx fpl-context-mcp
Add to Cursor

What the publisher says

From the FPL Context repository's README, as published. We do not edit it. Read it on GitHub

fpl-context-mcp

<!-- mcp-name: io.github.sbanthia92/fpl-context-mcp -->

An MCP server that gives any MCP-capable AI agent two tools for answering Fantasy Premier League (FPL) and Premier League football questions. It runs locally in Claude Desktop, Claude Code, Cursor, VS Code Copilot, Windsurf, Gemini CLI and Codex; ChatGPT and other clients that only accept a URL can connect when you host it over HTTP.

Two ingestion jobs keep that data populated and current:

This server does not fetch live data per-question. The two tools above only read whatever is already sitting in your PostgreSQL database and Pinecone index. Those stores start out empty — you must run the ingestion jobs once to seed them, and then keep running them on a recurring schedule forever, or answers will silently go stale (press results) or stay empty (stats results). This is not a one-time setup step. See Keeping data fresh (ongoing) — it's the single most important thing to get right before handing this to anyone.

Contents

  • Quickstart
  • Prerequisites
  • Installation
  • Configuration
  • Provisioning your database
  • Seeding data (required before first use)
  • Keeping data fresh (ongoing)
  • Registering with Claude Desktop
  • Other AI clients (local)
  • Remote access over HTTP (ChatGPT and other URL-only clients)
  • Running the server standalone
  • Verifying connectivity (--check)

Quickstart

The full path from zero to a working MCP tool, in order. Each step links to details further down.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

FPL Context: common questions

Is FPL Context MCP server safe?
Mostly: it is graded B (83/100). Read the FPL Context safety report
How do I install FPL Context?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does FPL Context need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is FPL Context maintained?
The last commit was 39 days ago (2026-09-26). The latest release is v0.11.1.