What runtime dependencies does SeaTunnel MCP Server require?
Python 3.12 or higher, a running SeaTunnel instance, and Node.js for testing with MCP Inspector.
@ocean-zhc
基本信息
A Model Context Protocol (MCP) server for Apache Seatunnel. This provides access to your Apache Seatunnel RESTful API V2 instance and the surrounding ecosystem.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"seatunnel": {
"command": "python",
"args": [
"-m",
"src.seatunnel_mcp"
],
"cwd": "Project root directory",
"env": {
"SEATUNNEL_API_URL": "http://localhost:8090"
}
}
}
}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。
A Model Context Protocol (MCP) server that enables LLM interfaces like Claude to interact with Apache SeaTunnel through REST API, supporting job management, system monitoring, and dynamic connection configuration.
Install via pip install -e . in a Python 3.12+ virtual environment, set environment variables SEATUNNEL_API_URL and optionally SEATUNNEL_API_KEY, then run python -m src.seatunnel_mcp. Configure in Claude Desktop by adding a seatunnel MCP server entry to claude_desktop_config.json.
Python 3.12 or higher, a running SeaTunnel instance, and Node.js for testing with MCP Inspector.
Use the `update-connection-settings` tool at runtime to update the URL and optional API key without restarting the server.
The server communicates via standard MCP protocol (stdio or SSE). It accepts an optional API key via the `SEATUNNEL_API_KEY` environment variable or runtime settings.
Yes, the `stop-job` tool accepts an optional savepoint parameter.

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