# FPL MCP Server

> Use this tool when you need to streamline Fantasy Premier League team management using natural language inputs, enabling intelligent decision-making for player research, competitor analysis, and transfer strategies. It connects Large Language Models (LLMs) to the Fantasy Premier League API, allowing for user-friendly interactions using player names instead of IDs. Ideal for fantasy football enthusiasts seeking data-driven insights to inform their team management decisions.

Canonical page: https://skillsregistry.net/skills/lewis-king-fpl-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/lewis-king-fpl-mcp-server

## Description

Connects LLMs to the Fantasy Premier League API for intelligent team management, enabling natural language player research, competitor analysis, transfer decisions, and strategic planning using friendly names instead of IDs.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kyq6qjath3)
- **Repository:** <https://github.com/lewis-king/fpl-mcp-server>

## 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": "lewis-king-fpl-mcp-server"
    }
  }
}
```

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