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SeaTunnel MCP Server

@ocean-zhc

Repository

Basic information

Category

Other

License

Apache-2.0

Transports

stdio

Author

ocean-zhc

About SeaTunnel MCP Server

A Model Context Protocol (MCP) server for Apache Seatunnel. This provides access to your Apache Seatunnel RESTful API V2 instance and the surrounding ecosystem.

#seatunnel#mcp-server#data-integration

SeaTunnel MCP Server config

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

{
  "mcpServers": {
    "seatunnel": {
      "command": "python",
      "args": [
        "-m",
        "src.seatunnel_mcp"
      ],
      "cwd": "Project root directory",
      "env": {
        "SEATUNNEL_API_URL": "http://localhost:8090"
      }
    }
  }
}

SeaTunnel MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Overview

What is SeaTunnel MCP Server?

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.

How to use SeaTunnel MCP Server?

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.

Key features of SeaTunnel MCP Server

  • Job management: submit, stop, monitor jobs
  • System monitoring and information retrieval
  • REST API interaction with SeaTunnel services
  • Dynamic connection configuration at runtime
  • Built-in logging and monitoring tools

Use cases of SeaTunnel MCP Server

  • Submit and manage SeaTunnel jobs via conversational LLM interfaces
  • Monitor cluster health and job status in real time
  • Dynamically switch SeaTunnel instances without restarting the server
  • Batch submit multiple job configurations in one call
  • Retrieve detailed job info and statistics for troubleshooting

Frequently asked questions

1

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.

2

How do I change the SeaTunnel instance the server connects to?

Use the `update-connection-settings` tool at runtime to update the URL and optional API key without restarting the server.

3

What transport or authentication does the server support?

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.

4

Can I stop a job and save its state?

Yes, the `stop-job` tool accepts an optional savepoint parameter.

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