# fastf1-mcp

> Use this tool when you need to access and analyze Formula 1 race data from 2018 onwards, or when you want to answer questions about F1 races using real telemetry, timing, and strategy data. It provides a local MCP server that allows MCP-compatible AI clients to load and query session data using natural language inputs. The tool outputs answers backed by accurate and detailed F1 data, making it ideal for use cases that require in-depth analysis of F1 races.

Canonical page: https://skillsregistry.net/skills/aashnakunk-fastf1-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aashnakunk-fastf1-mcp

## Description

A local MCP server that gives Claude (or any MCP-compatible AI client) access to Formula 1 race data. Load any session from 2018 onwards, ask questions in natural language, and get answers backed by real telemetry, timing, and strategy data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bpg8vmop7c)
- **Repository:** <https://github.com/aashnakunk/fastf1-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": "aashnakunk-fastf1-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aashnakunk-fastf1-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aashnakunk-fastf1-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