Firecrawl MCP Server
mendableai/firecrawl-mcp-server
A Model Context Protocol (MCP) server that brings Firecrawl to MCP-compatible AI agents — search, scrape, and interact with the live web for clean, agent-ready context.
Research & Data · Search Tools
MCP Tavily Proxy
tulong66/mcp-tavily-proxy
A Model Context Protocol server that provides AI-powered web search capabilities using Tavily's search API, with added support for HTTP/HTTPS proxy configurations. This server enables LLMs to perform sophisticated web searches through proxy servers, get direct answers to questions, and search recent news articles with AI-extracted relevant content.
Install
pip install mcp-tavily-proxyClient configuration
{
"mcpServers": {
"tavily": {
"command": "python",
"args": [
"-m",
"mcp_server_tavily"
]
}
}
}Environment variables
TAVILY_API_KEYHTTP_PROXYHTTPS_PROXYTAVILY_LOG_LEVEL- GitHub stars
- 1
- Author
- @tulong66
- Category
- Research & Data, Search Tools
- License
- MIT
- Updated
- Oct 6, 2026
Features
All original Tavily MCP Server features
HTTP/HTTPS proxy support through environment variables
Enhanced logging for proxy configurations
Robust error handling for proxy-related issues
Tools (3)
tavily_web_search
Performs comprehensive web searches with AI-powered content extraction.
tavily_answer_search
Performs web searches and generates direct answers with supporting evidence.
tavily_news_search
Searches recent news articles with publication dates.
Details on this page are taken from the project's README. Open README
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