# FastAPI-MCP

> Use this tool when you need to integrate your FastAPI application with AI systems through natural language interactions. It solves the problem of manually configuring API endpoints for AI compatibility, enabling seamless communication between humans and machines. By providing FastAPI endpoints as input, FastAPI-MCP outputs MCP-compatible tools, allowing AI agents to interact with your API in a more intuitive way.

Canonical page: https://skillsregistry.net/skills/nguyendinhsinh361-fastapi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nguyendinhsinh361-fastapi-mcp

## Description

A zero-configuration tool that automatically converts FastAPI endpoints into Model Context Protocol (MCP) tools, enabling AI systems to interact with your API through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pdm4z1wruc)
- **Repository:** <https://github.com/nguyendinhsinh361/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": "nguyendinhsinh361-fastapi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nguyendinhsinh361-fastapi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nguyendinhsinh361-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