Mage.ai MCP Integration

@KhushiBaby

About Mage.ai MCP Integration

No overview available yet

#mage-ai #mcp-integration #data-pipelines

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mage-mcp-server": {
      "command": "python",
      "args": [
        "run_server.py"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Mage.ai MCP Integration?

A comprehensive Model Context Protocol (MCP) integration for Mage.ai, allowing AI assistants like Anthropic's Claude to efficiently work with Mage data pipelines.

How to use Mage.ai MCP Integration?

Clone the repository, install dependencies with pip install -r requirements.txt, and configure with MAGE_API_URL and MAGE_API_KEY environment variables. Start the server using python run_server.py (stdio transport by default) or install directly with Claude Desktop via mcp install run_server.py --name "Mage.ai Manager".

Key features of Mage.ai MCP Integration

Browse all Mage.ai pipelines and their components
View and modify block code
Execute entire pipelines or individual blocks
Search blocks by name, type, or content
Create new pipelines and blocks from scratch

Use cases of Mage.ai MCP Integration

List all available pipelines in a Mage.ai instance.
View blocks and their details within a specific pipeline.
Modify block code to fix bugs or add new functionality.
Create new pipelines and blocks from scratch.
Execute entire pipelines or individual blocks for testing.

FAQ from Mage.ai MCP Integration

What does the Mage.ai MCP Integration do?

It provides a set of MCP resources and tools that enable AI assistants to interact with Mage.ai pipelines, including browsing, editing, executing, and searching pipeline components.

How do I install the Mage.ai MCP Integration?

Clone the repository, then run pip install -r requirements.txt. For development, use mcp dev run_server.py.

How do I configure the Mage.ai MCP Integration?

Set the MAGE_API_URL (default http://localhost:6789/api/) and MAGE_API_KEY environment variables, or pass them via command-line arguments when starting the server.

How do I run the Mage.ai MCP Integration server?

Run python run_server.py for stdio transport, or python run_server.py --transport sse --host localhost --port 3000 for SSE transport. Additional options like --debug are available.

How do I use the Mage.ai MCP Integration with Claude Desktop?

Install it using the mcp CLI: mcp install run_server.py --name "Mage.ai Manager". You can also include environment variables with the -v flag.

Frequently asked questions

What does the Mage.ai MCP Integration do?

It provides a set of MCP resources and tools that enable AI assistants to interact with Mage.ai pipelines, including browsing, editing, executing, and searching pipeline components.

How do I install the Mage.ai MCP Integration?

Clone the repository, then run `pip install -r requirements.txt`. For development, use `mcp dev run_server.py`.

How do I configure the Mage.ai MCP Integration?

Set the `MAGE_API_URL` (default `http://localhost:6789/api/`) and `MAGE_API_KEY` environment variables, or pass them via command-line arguments when starting the server.

How do I run the Mage.ai MCP Integration server?

Run `python run_server.py` for stdio transport, or `python run_server.py --transport sse --host localhost --port 3000` for SSE transport. Additional options like `--debug` are available.

How do I use the Mage.ai MCP Integration with Claude Desktop?

Install it using the mcp CLI: `mcp install run_server.py --name "Mage.ai Manager"`. You can also include environment variables with the `-v` flag.

Comments

Basic information

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