MCP Omnisearch

What is mcp-omnisearch?

mcp-omnisearch is a Model Context Protocol (MCP) server that unifies access to seven providers (Tavily, Brave, Kagi, Exa AI, GitHub, Linkup, and Firecrawl) through four consolidated tools. It is designed for developers using MCP clients who want a single interface for web search, AI answers, GitHub search, and web extraction from multiple backends.

How to use mcp-omnisearch?

Install dependencies with pnpm install, build the project with pnpm run build, and run the server with node ./dist/index.js. Configure the server in your MCP client by setting environment variables for the API keys you have (e.g., TAVILY_API_KEY, BRAVE_API_KEY). Providers without keys are automatically skipped; all others continue to work.

Key features of mcp-omnisearch

• Four tools: web_search, ai_search, github_search, web_extract
• Supports Tavily, Brave, Kagi, Exa AI, GitHub, Linkup, and Firecrawl
• Providers with missing API keys are gracefully skipped
• Web extraction supports crawling, scraping, summarizing, and similarity search
• AI search provides sourced answers via Kagi FastGPT, Exa Answer, or Linkup
• Configurable large‑result mode (file vs inline) via environment variable

Use cases of mcp-omnisearch

• Search the web using multiple search engines from a single MCP server
• Get AI‑generated, sourced answers for complex questions
• Search GitHub code, repositories, or users programmatically
• Extract, crawl, scrape, or summarize web content from a URL