# Tavily Search

> Use this tool when you need to integrate advanced web search capabilities into your AI applications, providing highly relevant and contextual search results for natural language queries. It solves problems of information retrieval and data gathering, allowing developers to retrieve up-to-date information from across the internet. With inputs of natural language queries and outputs of relevant search results, use Tavily Search in contexts where enhanced web search functionality is required.

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

## Description

This MCP server integrates with the Tavily search API, providing AI assistants with advanced web search capabilities. Developed by Arben Ademi, it leverages the MCP framework and Tavily's AI-powered search engine to deliver highly relevant and contextual search results. The implementation is built in Python 3.11+ and uses dependencies like httpx and python-dotenv for efficient HTTP requests and environment variable management. It's designed for developers and AI applications that require enhanced web search functionality, enabling natural language queries to retrieve up-to-date information from across the internet.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/arben-adm-tavily-search)
- **Repository:** <https://github.com/arben-adm/tavily-mcp-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": "arben-adm-tavily-search"
    }
  }
}
```

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