MCP TAVILY SEARCH
@y7ut
About MCP TAVILY SEARCH
A Model Context Protocol (MCP) server that provide search by tavily.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-tavily-search": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"mcp-tavily-search",
"run",
"tvly-xxxxxxxxxx"
]
}
}
}Tools
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Overview
What is MCP TAVILY SEARCH?
MCP TAVILY SEARCH is a Model Context Protocol (MCP) server that provides search functionality via the Tavily API, enabling AI agents to query web search results.
How to use MCP TAVILY SEARCH?
Install the server using go install github.com/y7ut/mcp-tavily-search@latest, then add a configuration entry to your MCP settings file specifying the command mcp-tavily-search with the argument run and your Tavily API key. Alternatively, use the provided Docker image.
Key features of MCP TAVILY SEARCH
- Provides search via the Tavily API.
- Offers a single tool:
search_news. - Supports
basicandadvancedsearch depth. - Allows filtering by
topic(general or news). - Configurable result limit and search timeframe.
- Simple installation via Go or Docker.
Use cases of MCP TAVILY SEARCH
- Searching for recent news articles by keyword.
- Retrieving a limited number of search results for AI analysis.
- Filtering search results by date range (days).
- Performing both basic and deep web searches.
FAQ from MCP TAVILY SEARCH
—
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