# Tavily

> Use this tool when you need to perform advanced search and content extraction operations, enabling AI assistants to access up-to-date information and integrate search functionality into their workflows. It solves problems such as web research and information retrieval, providing powerful search capabilities through the Tavily API. With secure API key management and easy configuration, it takes in search queries and returns relevant content, making it ideal for AI applications requiring robust search functionality.

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

## Description

This MCP server implementation provides integration with the Tavily API, enabling AI assistants to perform advanced search and content extraction operations. Developed by kshern, it leverages the Tavily Core library to offer powerful search capabilities. Built with TypeScript and utilizing the Model Context Protocol SDK, the server focuses on secure API key management and easy configuration. It is particularly useful for AI applications that need to access up-to-date information, perform web research, or integrate search functionality into their workflows.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

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

## 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": "kshern-tavily"
    }
  }
}
```

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

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt