Skip to main content

All-in-1 MCP server for developers

Project description

AgentMode ✨

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

flow diagram!

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 configuration for VS code If you installed our VS Code extension, it will automatically create or update your settings.json file for you. If you installed agentmode manually, please create a .vscode/settings.json file in your workspace, and replace ‘YOUR_INSTALLATION_FOLDER’ with the path to your uv environment below:
{
    "mcp": {
        "servers": {
            "agentmode": {
                "command": "cd 'YOUR_INSTALLATION_FOLDER' && uv run agentmode",
                "env": {}
            }
        }
    }
}
MCP configuration for Cursor Please create a \~/.cursor/mcp.json file in your home directory. This makes MCP servers available in all your Cursor workspaces. Please replace 'YOUR_INSTALLATION_FOLDER' below with the folder you setup your uv environment in:
{
    "mcpServers": {
        "inputs": [],
        "servers": {
            "agentmode": {
                "command": "cd 'YOUR_INSTALLATION_FOLDER' && uv run agentmode",
                "env": {}
            }
        }
    }
}
MCP configuration for Windsurf Open the file ~/.codeium/windsurf/mcp_config.json Add the code below to the JSON file. Press the refresh button in Windsurf. Please replace 'YOUR_INSTALLATION_FOLDER' below with the folder you setup your uv environment in:
{
    "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 🔌

connections setup!

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:

Contributing 💬

  • add more connectors & tests

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

agentmode-0.1.15.tar.gz (413.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

agentmode-0.1.15-py3-none-any.whl (422.5 kB view details)

Uploaded Python 3

File details

Details for the file agentmode-0.1.15.tar.gz.

File metadata

  • Download URL: agentmode-0.1.15.tar.gz
  • Upload date:
  • Size: 413.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.2

File hashes

Hashes for agentmode-0.1.15.tar.gz
Algorithm Hash digest
SHA256 875bdb97c601ade7246a605e9b57505374b07b564ea5291ef7f1696b04041a6c
MD5 d091f8a5fe31a9e05ec0a495f0f9c7cf
BLAKE2b-256 4044b489ad9a5ce25d34e364d6178f765ea4df3182ab6b7409d1b08d931e2703

See more details on using hashes here.

File details

Details for the file agentmode-0.1.15-py3-none-any.whl.

File metadata

  • Download URL: agentmode-0.1.15-py3-none-any.whl
  • Upload date:
  • Size: 422.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.2

File hashes

Hashes for agentmode-0.1.15-py3-none-any.whl
Algorithm Hash digest
SHA256 357ffee20da12e861d5537321f1881a31a679e13158e8fb2252275000604aeb1
MD5 3a2a8711c81589daa85e5b81e3e3d8f5
BLAKE2b-256 01f9daa72f519e8b04d5e9966626e19e6386a04796429acb5201001cbb2db4f1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page