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Mage.ai MCP Integration

@KhushiBaby

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

KhushiBaby

关于 Mage.ai MCP Integration

暂无概览

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

Mage.ai MCP Integration 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Mage.ai MCP Integration 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

1

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.

2

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`.

3

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.

4

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.

5

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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