Tavily Search

by algonacci

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About

Integrates with the Tavily API to provide web search capabilities, enabling internet searches and fact-checking for up-to-date information retrieval.

Details

Author: algonacci
Repository: algonacci/mcp-tavily-search
License: MIT License
Categories: Productivity, Developer Tools, Design, AI, Search, API, Frontend, Project Management
Tags: #web

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name Tavily Search

Command (node, npx, python, etc.) uv
Arguments
- Argument 1 --directory
- Argument 2 /Users/<your-username>/Documents/GitHub/mcp-tavily-search
- Argument 3 run
- Argument 4 python
- Argument 5 main.py
Environment
- TAVILY_API_KEY TAVILY_API_KEY
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "/Users/<your-username>/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "%USERPROFILE%/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "/home/<your-username>/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "/Users/<your-username>/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "%USERPROFILE%/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "/home/<your-username>/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "/Users/<your-username>/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "%USERPROFILE%/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "/home/<your-username>/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "/Users/<your-username>/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "%USERPROFILE%/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "/home/<your-username>/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "/Users/<your-username>/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "%USERPROFILE%/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "/home/<your-username>/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "tavily search": {
            "env": {
                "TAVILY_API_KEY": "TAVILY_API_KEY"
            },
            "args": [
                "--directory",
                "/Users/<your-username>/Documents/GitHub/mcp-tavily-search",
                "run",
                "python",
                "main.py"
            ],
            "command": "uv"
        }
    }
}

Linux

{
    "env": {
        "TAVILY_API_KEY": "TAVILY_API_KEY"
    },
    "args": [
        "--directory",
        "/home/<your-username>/Documents/GitHub/mcp-tavily-search",
        "run",
        "python",
        "main.py"
    ],
    "command": "uv"
}

Macos

{
    "env": {
        "TAVILY_API_KEY": "TAVILY_API_KEY"
    },
    "args": [
        "--directory",
        "/Users/<your-username>/Documents/GitHub/mcp-tavily-search",
        "run",
        "python",
        "main.py"
    ],
    "command": "uv"
}

Windows

{
    "env": {
        "TAVILY_API_KEY": "TAVILY_API_KEY"
    },
    "args": [
        "--directory",
        "%USERPROFILE%/Documents/GitHub/mcp-tavily-search",
        "run",
        "python",
        "main.py"
    ],
    "command": "uv"
}

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Tavily Search

About

Details

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Setting up with Highlight

Setting up with Cursor

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Setting up with Claude Desktop

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Setting up with Windsurf

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Setting up with Cline

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JSON

Setting up with Goose

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Claude Desktop / Cursor

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Macos

Windows

Install

About

Details

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Setting up with Highlight

Claude Desktop / Cursor

Linux

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