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
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 business
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"tavily-search": {
"command": "uv",
"args": [
"--directory",
"/path/to/mcp-tavily-search/mcp_tavily_search",
"run",
"server.py"
],
"env": {
"TAVILY_API_KEY": "YOUR_TAVILY_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| TAVILY_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
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.
Token compression for web content — 70-80% reduction from HTML to clean markdown
A Model Context Protocol (MCP) server for category-aware web search, website scraping, and date/time tools. Designed for seamless integration with
Full-cycle SEO automation for AI agents: technical audits, SEO articles, machine-readable pricing.
An MCP server providing websearch using openrouter :online