tavily-mcp
A web search and extraction MCP server powered by Tavily, providing tools for AI-powered search, content extraction from URLs, and Q\&A with source citations.
README
tavily-mcp
A web search and extraction MCP server powered by Tavily, built on Dedalus.
Tools
| Tool | Description |
|---|---|
tavily_search |
Search the web with AI-generated answer synthesis |
tavily_extract |
Extract clean content from URLs |
tavily_qna_search |
Ask a question and get a direct answer with sources |
Environment Variables
| Variable | Required | Description |
|---|---|---|
TAVILY_API_KEY |
Yes | Tavily API key (tvly-...) |
DEDALUS_API_KEY |
Yes | Dedalus platform API key |
DEDALUS_API_URL |
No | Dedalus API base URL |
DEDALUS_AS_URL |
No | Dedalus auth server URL (default: https://as.dedaluslabs.ai) |
Quick Start
# Install dependencies
uv sync
# Set environment variables
cp .env.example .env
# Edit .env with your keys
# Run the server
uv run python src/main.py
Testing
# Unit tests (no API key needed)
uv run pytest tests/test_tools.py
# Live connection tests (requires TAVILY_API_KEY)
uv run pytest tests/test_connection_live.py
Source Decision
Decision: Build native (Python)
The official tavily-ai/tavily-mcp is implemented in TypeScript using @modelcontextprotocol/sdk. Since our infrastructure requires Python with Dedalus DAuth integration, we build natively using dedalus-mcp. The official implementation served as a functional specification for tool definitions and API endpoints.
License
MIT
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