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Tomatio13/mcp-server-tavily

by Various

Taivily APIを利用するMCP Serverです。Officialが提供される前に開発しました

T

MCP

Tomatio13/mcp-server-tavily

Added 1 June 2026

Overview

An MCP server that wraps the Tavily search API, enabling AI agents to perform web searches through the Model Context Protocol. It was developed as a community-built alternative before the official Tavily MCP server was released. Written in Python, it provides a lightweight integration for search capabilities.

Best for

Best for
Developers who need a quick MCP search integration using Tavily before the official server or as a lightweight alternative.

Use cases

  • Adding web search to Claude Desktop via MCP
  • Providing real-time search results to AI agents
  • Enabling tool-based search queries in MCP-compatible applications

Notes

An MCP server that wraps the Tavily search API, enabling AI agents to perform web searches through the Model Context Protocol. It was developed as a community-built alternative before the official Tavily MCP server was released. Written in Python, it provides a lightweight integration for search capabilities.

47 stars on GitHub. Last updated 2025-08-19. Licensed MIT.

Use cases

  • Adding web search to Claude Desktop via MCP
  • Providing real-time search results to AI agents
  • Enabling tool-based search queries in MCP-compatible applications

Pros

  • Lightweight Python implementation that is easy to deploy
  • Fills the gap before the official Tavily MCP server was available
  • Actively maintained with 47 stars on GitHub

Cons

  • Not an official Tavily product, so updates and support are community-driven
  • Limited to the functionality of the Tavily API, no additional search providers
  • May lack features or stability compared to an official server

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight Python implementation that is easy to deploy
  • Fills the gap before the official Tavily MCP server was available
  • Actively maintained with 47 stars on GitHub

Cons

  • Not an official Tavily product, so updates and support are community-driven
  • Limited to the functionality of the Tavily API, no additional search providers
  • May lack features or stability compared to an official server