MCP Server
@tcpipuk
关于 MCP Server
Provides tools to clients over the Model Context Protocol
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-tcpipuk": {
"command": "uv",
"args": [
"venv"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is MCP Server?
An MCP (Model Context Protocol) server that gives AI assistants the ability to safely access websites and search the web through two tools: Search and Web. Designed for users of Claude Desktop, LibreChat, and other MCP-compatible clients.
How to use MCP Server?
Run the server via Docker using the provided docker-compose.yml, or locally with Python 3.13+ and uv. Set the required SEARXNG_QUERY_URL environment variable pointing to your SearXNG instance. Choose SSE mode (network) for clients like LibreChat or stdio mode for direct connections like Claude Desktop.
Key features of MCP Server
- Search the web via a SearXNG instance
- Access websites and convert content to markdown
- Get raw web content or extract links
- SSE mode for networked client connections
- stdio mode for direct local connections
- Clear error messages and progress feedback
Use cases of MCP Server
- Enable AI assistants to search for current web information
- Let AI assistants access and process website content
- Integrate web search capabilities into Claude Desktop
- Add web browsing features to LibreChat workflows
FAQ from MCP Server
What tools does the server offer?
Two tools: Search (searches the web via SearXNG) and Web (accesses websites, converts pages to markdown, gets raw content, or extracts links).
How can I run the server?
Recommended method is Docker with docker-compose.yml. Alternatively, run locally using Python 3.13+ and uv with uv sync then mcp-server (stdio) or mcp-server --sse-host 0.0.0.0 --sse-port 3001 (SSE).
How do I connect to the server?
Two modes: network connection via SSE (for LibreChat and other networked clients) or direct connection via stdio (for local testing or Claude Desktop).
What environment variables are required?
SEARXNG_QUERY_URL (URL to your SearXNG instance's Search API) is always required. Optional: SSE_HOST, SSE_PORT, and USER_AGENT.
What are the runtime dependencies?
Docker for the containerized approach, or Python 3.13+ with uv for local runs. A running SearXNG instance is required for search functionality.
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