open-websearch provides an MCP server, CLI, and local daemon, and can also be paired with skill-guided agent workflows for live web search and content retrieval without API keys.
Open Web Search source profile. From the maintainer documentation: “open-websearch provides an MCP server, CLI, and local daemon, and can also be paired with skill-guided agent workflows for live web search and content retrieval without API keys.”
The project provides a local client configuration. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"web-search": {
"name": "Web Search MCP",
"type": "streamableHttp",
"description": "Multi-engine web search with article fetching",
"isActive": true,
"baseUrl": "http://localhost:3000/mcp"
}
}
}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.
Free check whether a website is technically open to AI assistants (AI crawlers, llms.txt, JSON-LD).
I've created a powerful Model Context Protocol (MCP) Server powered by the Tavily API. With this, you can get high-quality, reliable information from
FrankenClaw is a minimal framework for building MCP tools. Drop a Python file in `tools/`, write one async function with a docstring, flip it on in
Zillow listings and property details: price, Zestimate, beds, baths, agent, history.