# Tavily MCP (MCP server)

> Tavily MCP is an MCP server that provides: - search, extract, map, crawl tools - Real-time web search capabilities through the tavily-search tool - Intelligent data extraction from web pages via the tavily-extract tool - Powerful web mapping tool that… It has 2,419 GitHub stars, is released under the MIT license and runs locally with npx -y tavily-mcp.

The Tavily MCP server provides: - search, extract, map, crawl tools - Real-time web search capabilities through the tavily-search tool - Intelligent data extraction from web pages via the tavily-extract tool - Powerful web mapping tool that creates a structured map of website - Web crawler that systematically explores websites

## Key facts

| Fact | Value |
|---|---|
| Repository | https://github.com/tavily-ai/tavily-mcp |
| GitHub stars | 2,419 |
| License | MIT |
| Language | TypeScript |
| Transport | stdio |
| Packages | npm: tavily-mcp |
| Remote URL | none |
| Needs API key | yes |
| Official | no |
| Works with | Claude Desktop, Claude Code, Cursor, VS Code |
| Category | AI & search |
| Latest release | none |
| Last commit | Sep 16, 2026 |
| MCP registry name | io.github.tavily-ai/tavily-mcp |

## Install

### Claude Desktop (claude_desktop_config.json)

```json
{
  "mcpServers": {
    "tavily-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "tavily-mcp"
      ],
      "env": {
        "TAVILY_API_KEY": "your-value"
      }
    }
  }
}
```

Settings > Developer > Edit Config. macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Restart Claude Desktop afterwards.

### Claude Code

```sh
claude mcp add --env TAVILY_API_KEY=your-value --transport stdio tavily-mcp -- npx -y tavily-mcp
```

### Cursor (.cursor/mcp.json)

```json
{
  "mcpServers": {
    "tavily-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "tavily-mcp"
      ],
      "env": {
        "TAVILY_API_KEY": "your-value"
      }
    }
  }
}
```

Project file; use ~/.cursor/mcp.json to enable it in every project.

### VS Code (.vscode/mcp.json)

```json
{
  "inputs": [
    {
      "type": "promptString",
      "id": "tavily_api_key",
      "description": "TAVILY_API_KEY",
      "password": true
    }
  ],
  "servers": {
    "tavily-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "tavily-mcp"
      ],
      "env": {
        "TAVILY_API_KEY": "${input:tavily_api_key}"
      }
    }
  }
}
```

Config formats checked against the official docs on 2026-10-07.

## Environment variables

- `TAVILY_API_KEY` (secret) (required): Your Tavily API key from tavily.com
- `DEFAULT_PARAMETERS`: JSON string with default search parameters (e.g., {"includeimages": true, "maxresults": 15})

## Similar MCP servers

- [Context7](https://appsgit.com/mcp-servers/context7): Up-to-date code docs for any prompt. (62,752 stars, MIT, needs API key)
- [FunASR](https://appsgit.com/mcp-servers/funasr): Transcribe local audio with FunASR and SenseVoice using private, on-device inference. (20,596 stars, MIT)
- [Bifrost](https://appsgit.com/mcp-servers/bifrost): Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS. (8,591 stars, Apache-2.0)
- [Honcho](https://appsgit.com/mcp-servers/honcho): Memory that reasons: continual learning for stateful agents. (7,494 stars, AGPL-3.0, needs API key)
- [Semble](https://appsgit.com/mcp-servers/semble): Fast and Accurate Code Search for Agents. (6,185 stars, MIT)
- [Exa](https://appsgit.com/mcp-servers/exa): Connect AI agents to Exa for web search, content fetching, and multi-step research. (5,088 stars, MIT, official)

---

Canonical page: https://appsgit.com/mcp-servers/tavily-mcp
Source: appsgit (https://appsgit.com), the app store for github. Data from the GitHub API, refreshed nightly.
Machine access: JSON API https://appsgit.com/api/v1/apps (OpenAPI: https://appsgit.com/openapi.json), MCP server https://mcp.appsgit.com/mcp, full index https://appsgit.com/llms-full.txt.
