Server

🚀 AgentMode ✨

AgentMode is an all - in - one Model Context Protocol (MCP) server. It connects your coding AI to dozens of databases, data warehouses, data pipelines, cloud services, and more. This extension streamlines your development workflow by providing seamless integration with various data and cloud platforms.

🚀 Quick Start

💻 Installation

Quick start with VS Code

1. Install our VS Code extension.
2. Click the 'Install' button next to the AgentMode extension.
3. Start the MCP server via the Command Palette (Ctrl+Shift+P or Cmd+Shift+P on macOS), then type in 'MCP', then select 'MCP: List Servers' and click on AgentMode.
4. Click on the 'AgentMode' text in the bottom - right status bar corner of VS Code to open a browser tab, sign in, and then setup your connections.

Without VS Code (Python package)

1. Open the terminal and install uv with curl -LsSf https://astral.sh/uv/install.sh | sh
2. uv init
3. uv add agentmode
4. uv run agentmode

{
    "mcp": {
        "servers": {
            "agentmode": {
                "command": "cd 'YOUR_INSTALLATION_FOLDER' && uv run agentmode",
                "env": {}
            }
        }
    }
}

{
    "mcpServers": {
        "inputs": [],
        "servers": {
            "agentmode": {
                "command": "cd 'YOUR_INSTALLATION_FOLDER' && uv run agentmode",
                "env": {}
            }
        }
    }
}

{
    "mcpServers": {
        "inputs": [],
        "servers": {
            "agentmode": {
                "command": "cd 'YOUR_INSTALLATION_FOLDER' && uv run agentmode",
                "env": {}
            }
        }
    }
}

🌐 MCP (Model Context Protocol)

AgentMode leverages the Model Context Protocol (MCP) to enable your coding AI to:

• Access and query databases and data warehouses.
• Interact with data pipelines for real - time or batch processing.
• Use a web browser.
• See logs from your production services.
• Connect to cloud services for storage, computation, and more.

🔌 Connections

AgentMode supports a wide range of connections, including:

• Databases: MySQL, PostgreSQL, etc.
• Data Warehouses: Snowflake, BigQuery, Redshift, etc.
• Data Pipelines: Airflow, Prefect, etc.
• Cloud Services: AWS, Azure, Google Cloud, etc. (coming soon!)

To configure connections, follow these steps:

1. Start the MCP server and go to http://localhost:13000/setup
2. Click on the icon of the connection you'd like to setup.
3. Fill out the connection details and credentials (all credentials are stored locally on your machine).
4. Any required dependencies will be installed on - the - fly.

🛟 Help

If you encounter any issues or have questions, you can:

• See the documentation.
• Open an issue in the GitHub repository.
• Chat with us on our Discord server.

💬 Contributing

• Add more connectors & tests