Tavily Cursor MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| TAVILY_API_KEY | Yes | Your Tavily API key from https://tavily.com |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| tavily_searchB | Search the web using Tavily API. Returns relevant search results with URLs, content snippets, and metadata. |
| tavily_extractA | Extract clean content from one or more URLs. Returns the main content from web pages, removing ads and navigation. |
| tavily_search_qnaB | Get a direct answer to a question using Tavily's Q&A optimized search. Returns a concise answer to specific questions. |
| tavily_search_contextC | Generate context for RAG applications. Returns search results optimized for context generation. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
The tools are mostly distinct, with clear primary functions: extraction, general search, context generation, and Q&A. However, tavily_search and tavily_search_context could be slightly confusing as both involve search, though their descriptions differentiate them well.
All tools follow a consistent 'tavily_verb' pattern, using snake_case uniformly. The naming is predictable and readable, with no deviations in style or convention.
With 4 tools, this server is well-scoped for its purpose of web search and content extraction. Each tool serves a specific, non-redundant function, making the count appropriate and manageable.
The toolset covers core web search and extraction workflows effectively, including content retrieval, general search, context generation, and direct Q&A. A minor gap might be the lack of advanced filtering or customization options, but agents can work around this for most use cases.