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MCP-Server-Collector
2024-12-09
MCP服务器用于通过Internet收集MCP服务器。
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mcp-server-collector MCP server
A MCP Server used to collect MCP Servers over the internet.
Components
Resources
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Prompts
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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Development/Unpublished Servers Configuration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:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--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
About the author
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Reviews
2
(1)
user_GISaQvaS
2025-04-17
As a dedicated mcp user, I am thoroughly impressed with mcp-server-collector by chatmcp. Its efficient data collection capabilities and seamless integration into existing systems are game-changers. The GitHub repository provides comprehensive documentation, making setup a breeze. Highly recommend this tool for anyone looking to enhance their server data management! Check it out at https://github.com/chatmcp/mcp-server-collector.