webfetch for Grok
io.github.firish/webfetch
Self-hosted web search for LLM agents: search -> fetch -> rank pipeline with semantic caching
client:Grok
transport:stdio
runtime:pypi
Install webfetch in Grok
.mcp.json (in your project root)
{
"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>"
}
}
}
}Grok Build reads Claude Code's .mcp.json and Claude Desktop's config unchanged, so a server you have already set up there needs nothing new. The Grok web app and X integration do not take custom servers. Grok docs