tavily-mcp-sse
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Tavily MCP Server is a FastAPI-based server application that provides endpoints for interacting with the Tavily API, featuring API key authentication and remote SSE MCP server capabilities.
Tavily MCP Server
Basic FastAPI-based server application that provides endpoints for interacting with the Tavily API. The server includes API key authentication and uses the fastapi-mcp library to create a remote SSE MCP server out of it.
Installation
To install the project's dependencies, run the following command:
pip install -r requirements.txt
Usage
To run the server, use the following command:
uvicorn server:app --host 0.0.0.0 --port 8000 --reload
The server will be available at http://127.0.0.1:8000.
API Key
The server requires two API keys:
API_KEY: The API key for accessing the server's endpoints.TAVILY_API_KEY: The API key for accessing the Tavily API.
Set these API keys as environment variables before running the server.
Endpoints
/tavily-search
Perform a search using the Tavily API.
- Method: POST
- Request Body:
TavilySearchRequestquery(str): The search query.search_depth(Literal["basic", "advanced"], optional): The depth of the search. Defaults to "basic".topic(Literal["general", "news"], optional): The topic of the search. Defaults to "general".days(int, optional): The number of days to search. Defaults to 3.time_range(Literal["day", "week", "month", "year", "d", "w", "m", "y"], optional): The time range of the search. Defaults to "day".max_results(int, optional): The maximum number of results to return. Defaults to 10.include_images(bool, optional): Whether to include images in the results. Defaults to False.include_image_descriptions(bool, optional): Whether to include image descriptions in the results. Defaults to False.include_raw_content(bool, optional): Whether to include raw content in the results. Defaults to False.include_domains(list[str], optional): A list of domains to include in the search. Defaults to an empty list.exclude_domains(list[str], optional): A list of domains to exclude from the search. Defaults to an empty list.
- Response:
TavilyResponse
/tavily-extract
Extract content from URLs using the Tavily API.
- Method: POST
- Request Body:
TavilyExtractRequesturls(list[str]): A list of URLs to extract content from.extract_depth(Literal["basic", "advanced"], optional): The depth of the extraction. Defaults to "basic".include_images(bool, optional): Whether to include images in the extraction. Defaults to False.
- Response:
TavilyResponse
