What dependencies are required?
Requires `uv` and Python. The server uses DuckDuckGo as its search backend and does not need API keys.
@tomas-hanzlik
Basic information
A lightweight MCP server for web searching via DuckDuckGo and extracting page content as Markdown.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-web-search-crawl": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/tomas-hanzlik/mcp-web-search-crawl",
"mcpsearchcrawl"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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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