tavily-search
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| TAVILY_API_KEY | Yes | Your Tavily API key for accessing the search and extract tools. |
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| web_search_toolA | Search the web for real-time information. Returns clean, LLM-optimized results with titles, URLs, snippets, and an optional AI-generated answer summary. Use this to find current information, news, documentation, or any web content. |
| extract_content_toolA | Extract clean, LLM-readable content from one or more URLs. Useful for reading articles, documentation, or any web page content and making it available to the LLM for analysis. |
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 2 tools
The two tools have clearly distinct purposes: one for extracting content from URLs, the other for web search. No overlap or ambiguity.
Both tools follow a consistent verb_noun snake_case pattern with 'tool' suffix: extract_content_tool and web_search_tool.
Two tools is minimal but reasonable for a focused search server covering search and content extraction. Slightly under typical scopes but not insufficient.
Covers core search and content extraction, but missing advanced search options (filters, pagination) which are common in search servers.