# Tavily Search

> Use this tool when you need to integrate advanced web search capabilities into AI-driven applications, solving problems like fact-checking, research assistance, and content generation that require real-time, high-quality information. It takes in search queries as input and outputs relevant web search results, supporting both stdio and Server-Sent Events (SSE) communication methods. Ideal for use cases where up-to-date internet information is crucial, such as enhancing model accuracy or providing real-time research assistance.

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

## Description

This Tavily Search MCP server, developed by Alexandros Pappas, integrates the Tavily Search API into the Model Context Protocol framework. Built with TypeScript and leveraging Express.js, it provides a streamlined interface for AI models to perform web searches using Tavily's advanced search capabilities. The implementation supports both stdio and Server-Sent Events (SSE) communication methods, making it versatile for different deployment scenarios. It's particularly useful for enhancing AI-driven applications with real-time, high-quality web search results, enabling use cases like fact-checking, research assistance, or content generation that requires up-to-date information from the internet.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

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

## 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": "apappascs-tavily-search"
    }
  }
}
```

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