mcp-server-collector MCP server

by chatmcp

347 downloads

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GitHub

About

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

Details

Author: chatmcp
Downloads: 347
Categories: Web Scraping, Search, Knowledge Base, Developer Tools

- Extracts MCP server details from a given URL.
- Extracts MCP server details from provided content text.
- Submits an MCP server to a directory like mcp.so.
- Requires only an OpenAI API key for extraction.
- Supports custom OpenAI base URL and model selection.
- Easily configurable for Claude Desktop.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name mcp-server-collector MCP server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

From the repository

Install via uvx mcp-server-collector and configure a .env file with OPENAI_API_KEY, OPENAI_BASE_URL, OPENAI_MODEL, and MCP_SERVER_SUBMIT_URL. Add the server to your Claude Desktop configuration under mcpServers, referencing the installed package or local directory. Invoke its three tools through any MCP client.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp-server-collector mcp server": {
            "mcp-server-collector": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

McpServers

{
    "mcp-server-collector": {
        "command": "uv",
        "args": [
            "sync"
        ]
    }
}

# 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. ```txt 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` <details> <summary>Development/Unpublished Servers Configuration</summary> ``` "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" } } } ``` </details> <details> <summary>Published Servers Configuration</summary> ``` "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" } } } ``` </details> ## Development ### Building and Publishing To prepare the package for distribution: 1. Sync dependencies and update lockfile: ```bash uv sync ``` 2. Build package distributions: ```bash uv build ``` This will create source and wheel distributions in the `dist/` directory. 3. Publish to PyPI: ```bash 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](https://github.com/modelcontextprotocol/inspector). You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command: ```bash 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](https://t.me/+N0gv4O9SXio2YWU1) - [MCP Server Discord](https://discord.gg/RsYPRrnyqg) ## About the author - [idoubi](https://bento.me/idoubi) - [mcp.so](https://mcp.so)

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

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