webfetch for Cursor
io.github.firish/webfetch
Self-hosted web search for LLM agents: search -> fetch -> rank pipeline with semantic caching
client:Cursor
transport:stdio
runtime:pypi
Install webfetch in Cursor
~/.cursor/mcp.json · windows: %USERPROFILE%\.cursor\mcp.json
{
"mcpServers": {
"webfetch": {
"type": "stdio",
"command": "uvx",
"args": [
"webfetch-llm"
],
"env": {
"BRAVE_API_KEY": "<BRAVE_API_KEY>",
"SERPER_API_KEY": "<SERPER_API_KEY>",
"TAVILY_API_KEY": "<TAVILY_API_KEY>",
"WEBFETCH_PROVIDER": "<WEBFETCH_PROVIDER>"
}
}
}
}
Use .cursor/mcp.json in a project root instead to scope it to that project. Cursor merges both. Cursor docs