A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a browser to render pages…
MCP Server for Stealth Web Search and Fetching is an MCP project maintained in the maxylev/searchfetch repository. The maintainer describes its purpose as “A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a…”. Read the project documentation for the complete scope.
The documented pypi package is searchfetch. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"searchfetch": {
"command": "uvx",
"args": [
"searchfetch"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Retrieve public web pages as readable Markdown with the reference Fetch MCP server, including pagination for longer responses.
Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
Enables AI-powered code search using the Exa API within an MCP environment.
An MCP server that fetches web content for an agent and is correct and secure where the popular fetch servers are not. Not "has SSRF protection" — everyone claims that — but provably correct against…
A modern, modular MCP (Model Context Protocol) server with scalable service architecture, supporting multiple MCP services including DeFi, Gaming, and search tools.
One key to 1,000+ paid data APIs: enrichment, SEO/SERP, scraping, places, news. Pay per call.