Tavily MCP Server
Researchstdiov0.3.1
MCP server for Tavily's AI-optimized search engine. Designed specifically for LLM agents and RAG applications, providing concise, factual search results with source attribution. Supports general web search, news search, and direct Q&A extraction. Returns pre-processed content optimized for AI consumption with relevance scoring and content deduplication.
Connect
Add this configuration to .claude/mcp.json
{
"mcpServers": {
"tavily": {
"command": "npx",
"args": [
"-y",
"tavily-mcp"
],
"env": {
"TAVILY_API_KEY": "<YOUR_TAVILY_API_KEY>"
}
}
}
}Tools (2)
tavily_search
Perform an AI-optimized web search and return relevant results with content.
{
"type": "object",
"required": [
"query"
],
"properties": {
"query": {
"type": "string",
"description": "Search query"
},
"topic": {
"enum": [
"general",
"news"
],
"type": "string",
"description": "Search topic category"
},
"max_results": {
"type": "integer",
"description": "Maximum number of results to return (default 5)"
},
"search_depth": {
"enum": [
"basic",
"advanced"
],
"type": "string",
"description": "Search depth (basic is faster, advanced is more thorough)"
},
"exclude_domains": {
"type": "array",
"items": {
"type": "string"
},
"description": "Exclude results from these domains"
},
"include_domains": {
"type": "array",
"items": {
"type": "string"
},
"description": "Only include results from these domains"
}
}
}tavily_extract
Extract and parse content from one or more URLs into clean text.
{
"type": "object",
"required": [
"urls"
],
"properties": {
"urls": {
"type": "array",
"items": {
"type": "string"
},
"description": "URLs to extract content from"
}
}
}Resources
This server does not expose any resources.
Prompts
This server does not expose any prompts.
Server Information
- Author
- Tavily (@tavily-ai)
- Repository
- https://github.com/tavily-ai/tavily-mcp
- License
- MIT
- Version
- 0.3.1
- Stars
- 1,820
- Last Updated
- May 26, 2026