# FastMCP OpenAPI Demo

> Use this tool when you need to automatically generate Model Context Protocol (MCP) servers from OpenAPI specifications for seamless integration with FastAPI. It solves problems of manual server setup and supports various transmission methods like STDIO, HTTP, and SSE, providing flexible interface options. Ideal for use cases requiring rapid deployment of MCP servers with standardized API specifications.

Canonical page: https://skillsregistry.net/skills/minchae-me-mcp  
JSON: https://api.skillsregistry.net/v1/skills/minchae-me-mcp

## Description

A demonstration server that automatically generates Model Context Protocol (MCP) servers from OpenAPI specifications, providing seamless integration with FastAPI and supporting various transmission methods like STDIO, HTTP, and SSE.

## 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:** api-integration
- **Updated:** 2026-04-23

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dbsuve09vz)
- **Repository:** <https://github.com/minchae-me/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": "minchae-me-mcp"
    }
  }
}
```

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