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Cursor

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

Held in this page only — never stored, logged, or sent anywhere but back to your screen.

{
  "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

webfetch in other clients