# Tavily Search

> Use this tool when you need to integrate web search capabilities into AI models for tasks like fact-checking, research assistance, or enhancing responses with current data. It provides a simplified interface to Tavily's semantic search API, allowing AI systems to perform web searches and retrieve relevant results. The tool takes in search queries as input and returns relevant web search results as output, making it accessible for AI systems to incorporate up-to-date web information into their responses.

Canonical page: https://skillsregistry.net/skills/spences10-tavily-search  
JSON: https://api.skillsregistry.net/v1/skills/spences10-tavily-search

## Description

This MCP server for Tavily search, developed by Scott Spence, provides an interface for AI assistants to leverage Tavily's semantic search capabilities. Built with TypeScript and the Model Context Protocol SDK, it enables AI models to perform web searches and retrieve relevant results. The implementation focuses on simplifying integration with Tavily's API, making it accessible for AI systems to incorporate up-to-date web information. It's useful for tasks like fact-checking, research assistance, or enhancing AI responses with current data, allowing models to access web search functionality without deep knowledge of the underlying search engine complexities.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/spences10-tavily-search)
- **Repository:** <https://github.com/spences10/mcp-tavily-search>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "spences10-tavily-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spences10-tavily-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spences10-tavily-search/pull`

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