Mage.ai MCP Integration

@KhushiBaby

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

KhushiBaby

Mage.ai MCP Integration について

概要はまだありません

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

Mage.ai MCP Integration の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Mage.ai MCP Integration のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

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.

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