MCP server for integrating Tavily search API with LLMs, providing web search, RAG context generation, and QnA capabilities
MCP server for integrating Tavily search API with LLMs, providing web search, RAG context generation, and QnA capabilities
The functionality of this tool is now available in mcp-omnisearch, which combines multiple MCP tools in one unified package.
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| Tool | What it does |
|---|---|
| tavily_search | Search the web using Tavily Search API, optimized for high-quality, factual results. |
| tavily_get_search_context | |
| tavily_qna_search |
{
"mcpServers": {
"mcp-tavily-search": {
"command": "npx",
"args": [
"-y",
"mcp-tavily-search"
],
"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. | Yes |
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.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.