What API keys are required?
The server needs two environment variables: `API_KEY` (for accessing the server's endpoints) and `TAVILY_API_KEY` (for accessing the Tavily API).
@NoeSamaille
基本信息
Basic remote SSE MCP server for Tavily Search.
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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A FastAPI-based server that wraps the Tavily API into an MCP (Model Context Protocol) service. It provides endpoints for web search and content extraction, secured by API key authentication. Designed for AI agents and developers who need programmatic access to Tavily's search capabilities via the MCP protocol.
Install dependencies with pip install -r requirements.txt, set the API_KEY and TAVILY_API_KEY environment variables, then run uvicorn server:app --host 0.0.0.0 --port 8000 --reload. The server exposes two POST endpoints: /tavily-search and /tavily-extract.
The server needs two environment variables: `API_KEY` (for accessing the server's endpoints) and `TAVILY_API_KEY` (for accessing the Tavily API).
After installing dependencies, set the two API keys as environment variables and run `uvicorn server:app --host 0.0.0.0 --port 8000 --reload`. The server will be available at `http://127.0.0.1:8000`.
Two POST endpoints: `/tavily-search` for web search and `/tavily-extract` for content extraction from URLs. Both require authentication via the server’s API key.
Search supports optional parameters: `search_depth` (basic/advanced), `topic` (general/news), `days`, `time_range`, `max_results` (default 10), `include_images`, `include_image_descriptions`, `include_raw_content`, `include_domains`, and `exclude_domains`.
Extraction requires a list of `urls`. Optional parameters: `extract_depth` (basic/advanced, default basic) and `include_images` (default false).

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