auto-mcp-server

You've got a web app with a REST API. Maybe it's a Django app and you've generated an OpenAPI spec using drf-spectacular.

Now you want to let an LLM talk to it. You need an MCP server to handle the translation between the two.

graph LR
    A[🤖 LLM] <--> B[🔌 MCP Server] <--> C[🌐 API Server]

auto-mcp-server is a lightweight MCP server that makes your Web App accessible by LLMs. It was originally made for https://syracuse.1145.am (code: https://github.com/alanbuxton/syracuse-neo) but could be used for any server that has an OpenAPI spec. Not sure how good it would be for heavy production use, but it's certainly good enough for getting started.

It comes in two flavours:

1. A local MCP server that uses STDIO and can work with e.g. the free tier of Claude Desktop

2. A remote MCP server that uses Streamable HTTP and can be deployed on any web host to your liking. It's not really doing any streaming, but that's ok if you're just dealing with individual REST API calls.

Using this repo

1. Clone it

2. Ensure you have uv installed (see https://docs.astral.sh/uv/getting-started/installation/)

3. Copy .env.sample to .env and configure according to your settings

4. Test with MCP Inspector npx @modelcontextprotocol/inspector (see https://modelcontextprotocol.io/legacy/tools/inspector)

Related MCP server: OpenAPI MCP Server

Local MCP Server (STDIO)

With a local MCP server you don't have to start it, you just have to configure your client app (e.g. Claude Desktop) to know where to find the code. Here is a sample claude_desktop_config.json

{
  "mcpServers": {
    "Your app name": {
      "command": "/path/to/uv",
      "args": [
        "--directory",
        "/path/to/auto-mcp-server",
        "run",
        "stdio_mcp_server.py"
      ]
    }
  }
}

Connection info for MCP Inspector:

• Transport Type: STDIO

• Command: /path/to/uv

• Arguments: --directory /path/to/auto-mcp-server run stdio_mcp_server.py

Remote MCP Server (Stateless Streaming HTTP)

This needs to be started before MCP Inspector can connect to it. Start it with:

uv run stateless_streaming_http_mcp_server.py

Connection info for MCP Inspector:

• Transport Type: Streamable HTTP

• URL: host:port/mcp, e.g. http://127.0.0.1:9000/mcp

• Anyone making calls that require authorization will need to add their API key in the Authentication section

The Stateless Streaming MCP Server also serves an mcp.json at .well-known/mcp.json (in this example it would be http://127.0.0.1/.well-known/mcp.json )

Distinguishing tools that need auth

Each tool is tagged with whether it requires authentication, derived from the OpenAPI security rules (an operation's security overrides the spec-level security, and an explicit empty security: [] means no auth). This is exposed two ways:

• In tools/list, each tool carries _meta: { "requiresAuth": true | false }.

• In .well-known/mcp.json, the same _meta flag is present, and the security block is only attached to tools that actually require auth.

Clients can use this to call public endpoints without prompting the user for a token, and only request credentials for tools that need them.