# FastAPI-MCP

> Use this tool when you need to integrate your FastAPI application with Large Language Models (LLMs) like Claude, allowing seamless interaction without requiring additional coding. It solves the problem of manually configuring API endpoints for LLM compatibility, providing a zero-configuration solution. The tool takes FastAPI endpoints as input and outputs MCP-compatible tools, enabling effortless integration with LLM systems.

Canonical page: https://skillsregistry.net/skills/tadata-org-fastapi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tadata-org-fastapi-mcp

## Description

A zero-configuration tool that automatically exposes FastAPI endpoints as Model Context Protocol (MCP) tools, allowing LLM systems like Claude to interact with your API without additional coding.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/otm6rcvu3e)
- **Repository:** <https://github.com/tadata-org/fastapi_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": "tadata-org-fastapi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tadata-org-fastapi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tadata-org-fastapi-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