mcp-server-collector MCP server

A MCP Server used to collect MCP Servers over the internet.

Components

Resources

No resources yet.

Prompts

No prompts yet.

Tools

The server implements 3 tools:

• extract-mcp-servers-from-url: Extracts MCP Servers from given URL.
  • Takes "url" as required string argument
• extract-mcp-servers-from-content: Extracts MCP Servers from given content.
  • Takes "content" as required string argument
• submit-mcp-server: Submits a MCP Server to the MCP Server Directory like mcp.so.
  • Takes "url" as required string argument and "avatar_url" as optional string argument

Configuration

.env file is required to be set up.

OPENAI_API_KEY="sk-xxx"
OPENAI_BASE_URL="https://api.openai.com/v1"
OPENAI_MODEL="gpt-4o-mini"

MCP_SERVER_SUBMIT_URL="https://mcp.so/api/submit-project"

Quickstart

Install

Claude Desktop

On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`

On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

Development/Unpublished Servers Configuration

"mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"]
    },
    "mcp-server-collector": {
      "command": "uv",
      "args": [
        "--directory",
        "path-to/mcp-server-collector",
        "run",
        "mcp-server-collector"
      ],
      "env": {
        "OPENAI_API_KEY": "sk-xxx",
        "OPENAI_BASE_URL": "https://api.openai.com/v1",
        "OPENAI_MODEL": "gpt-4o-mini",
        "MCP_SERVER_SUBMIT_URL": "https://mcp.so/api/submit-project"
      }
    }
  }

Published Servers Configuration

"mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"]
    },
    "mcp-server-collector": {
      "command": "uvx",
      "args": [
        "mcp-server-collector"
      ],
      "env": {
        "OPENAI_API_KEY": "sk-xxx",
        "OPENAI_BASE_URL": "https://api.openai.com/v1",
        "OPENAI_MODEL": "gpt-4o-mini",
        "MCP_SERVER_SUBMIT_URL": "https://mcp.so/api/submit-project"
      }
    }
  }

Development

Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:

uv sync

2. Build package distributions:

uv build

This will create source and wheel distributions in the `dist/` directory.

3. Publish to PyPI:

uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

• Token: `--token` or `UV_PUBLISH_TOKEN`
• Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging

experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via `npm` with this command:

npx @modelcontextprotocol/inspector uv --directory path-to/mcp-server-collector run mcp-server-collector

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

Community

• MCP Server Telegram
• MCP Server Discord

About the author

• idoubi
• mcp.so