# fpl-mcp

> fpl-mcp — dexhamter-fpl-mcp. Use this tool when you need to analyze and optimize Fantasy Premier League (FPL) performance, as it provides 33 analytics tools for tasks like squad management, transfer decisions, and captaincy choices. It takes in FPL data and outputs actionable insights, using async access to official FPL endpoints with caching for efficient data retrieval. Ideal for AI assistants seeking to inform FPL strategy and decision-making.

Canonical page: https://skillsregistry.net/skills/dexhamter-fpl-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dexhamter-fpl-mcp

## Description

An MCP server that equips AI assistants with 33 tools for Fantasy Premier League analytics, including fixtures, squad management, live scores, transfers, captaincy, and price movements, using async access to official FPL endpoints with TTL caching.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j1rahn2trx)
- **Repository:** <https://github.com/dexhamter/fpl-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dexhamter-fpl-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dexhamter-fpl-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dexhamter-fpl-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt