mcp-tavily-search Notice **This repository is no longer maintained.**
The functionality of this tool is now available in [mcp-omnisearch](https://github.com/spences10/mcp-omnisearch), which combines multiple MCP tools in one unified package.
Please use [mcp-omnisearch](https://github.com/spences10/mcp-omnisearch) instead.
A Model Context Protocol (MCP) server for integrating Tavily's search
API with LLMs. This server provides intelligent web search
capabilities optimized for high-quality, factual results, including
context generation for RAG applications and direct question answering.
<a href="https://glama.ai/mcp/servers/1jcttrux58"><img width="380" height="200" src="https://glama.ai/mcp/servers/1jcttrux58/badge" alt="Tavily Search Server MCP server" /></a>
Features Advanced web search capabilities through Tavily API AI-generated summaries of search results Domain filtering for higher quality results Configurable search depth and parameters Context generation for RAG applications Direct question answering capabilities Response caching with TTL support Multiple response formats (text, JSON, markdown) Structured result formatting optimized for LLMs Built on the Model Context Protocol Configuration This server requires configuration through your MCP client. Here are
examples for different environments:
Cline Configuration Add this to your Cline MCP settings:
Claude Desktop with WSL Configuration For WSL environments, add this to your Claude Desktop configuration:
Environment Variables The server requires the following environment variable:
`TAVILY_API_KEY`: Your Tavily API key (required) API The server implements three MCP tools with configurable parameters:
tavily_search Search the web using Tavily Search API, optimized for high-quality,
factual results.
Parameters:
`query` (string, required): Search query `search_depth` (string, optional): "basic" (faster) or "advanced"
(more thorough). Defaults to "basic" `topic` (string, optional): "general" or "news". Defaults to
"general" `days` (number, optional): Number of days back to search (news topic
only). Defaults to 3 `time_range` (string, optional): Time range for results ('day',
'week', 'month', 'year' or 'd', 'w', 'm', 'y') `max_results` (number, optional): Maximum number of results.
Defaults to 5 `include_answer` (boolean, optional): Include AI-generated summary.
Defaults to true `include_images` (boolean, optional): Include related images.
Defaults to false `include_image_descriptions` (boolean, optional): Include image
descriptions. Defaults to false `include_raw_content` (boolean, optional): Include raw HTML content.
Defaults to false `include_domains` (string[], optional): List of trusted domains to
include `exclude_domains` (string[], optional): List of domains to exclude `response_format` (string, optional): 'text', 'json', or 'markdown'.
Defaults to 'text' `cache_ttl` (number, optional): Cache time-to-live in seconds.
Defaults to 3600 `force_refresh` (boolean, optional): Force fresh results ignoring
cache. Defaults to false tavily_get_search_context Generate context for RAG applications using Tavily search.
Parameters:
`query` (string, required): Search query for context generation `max_tokens` (number, optional): Maximum length of generated
context. Defaults to 2000 `search_depth` (string, optional): "basic" or "advanced". Defaults
to "advanced" `topic` (string, optional): "general" or "news". Defaults to
"general" Other parameters same as tavily_search tavily_qna_search Get direct answers to questions using Tavily search.
Parameters:
`query` (string, required): Question to be answered `include_sources` (boolean, optional): Include source citations.
Defaults to true `search_depth` (string, optional): "basic" or "advanced". Defaults
to "advanced" `topic` (string, optional): "general" or "news". Defaults to
"general" Other parameters same as tavily_search Domain Filtering The server supports flexible domain filtering through two optional
parameters:
`include_domains`: Array of trusted domains to include in search
results `exclude_domains`: Array of domains to exclude from search results This allows you to:
Target specific trusted sources for academic or technical searches Exclude potentially unreliable or irrelevant sources Customize sources based on your specific needs Access all available sources when no filtering is specified Example domain filtering:
Development Setup Clone the repository Install dependencies: Build the project: Run in development mode: Publishing The project uses changesets for version management. To publish:
Create a changeset: Version the package: Publish to npm: Contributing Contributions are welcome! Please feel free to submit a Pull Request.
License MIT License - see the [LICENSE](LICENSE) file for details.
Acknowledgments Built on the
[Model Context Protocol](https://github.com/modelcontextprotocol) Powered by [Tavily Search API](https://tavily.com)