What dependencies are required?
Requires `uv` and Python. The server uses DuckDuckGo as its search backend and does not need API keys.
@tomas-hanzlik
基本信息
A lightweight MCP server for web searching via DuckDuckGo and extracting page content as Markdown.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-web-search-crawl": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/tomas-hanzlik/mcp-web-search-crawl",
"mcpsearchcrawl"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
MCP Web Search Crawler is a Model Context Protocol server that provides web search and crawling capabilities. It enables AI assistants and other MCP clients to search the web using DuckDuckGo and crawl specific URLs to extract content in markdown format.
Clone the repository, then configure the server in your MCP client using the uv command with a directory argument, or use uvx from the GitHub repository. It exposes a tool called search_links that accepts a query parameter. The server can be run with --transport sse or --transport stdio.
Requires `uv` and Python. The server uses DuckDuckGo as its search backend and does not need API keys.
Use the provided Python script with the `fastmcp` Client, then call tools like `search_links` with a query parameter.
The server supports SSE and stdio transports. Run it with `--transport sse` or `--transport stdio`.
Use MCP Inspector with the command: `uv run fastmcp dev src/mcp_web_search_crawl/server.py:mcp --with-editable .`
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