SeaTunnel MCP Server

what is SeaTunnel MCP Server? SeaTunnel MCP Server is a Model Context Protocol (MCP) server designed for interacting with Apache SeaTunnel through LLM interfaces like Claude. how to use SeaTunnel MCP Server? To use the SeaTunnel MCP Server, clone the repository, set up a virtual environment, install the required packages, and configure the environment variables for the SeaTunnel API. You can then run the server and manage jobs through the provided API. key features of SeaTunnel MCP Server? Job management (submit, stop, monitor) System monitoring and information retrieval REST API interaction with SeaTunnel services Built-in logging and monitoring tools Dynamic connection configuration Comprehensive job information and statistics use cases of SeaTunnel MCP Server? Submitting and managing data processing jobs in SeaTunnel. Monitoring the status and performance of SeaTunnel jobs. Interacting with SeaTunnel services through a RESTful API. FAQ from SeaTunnel MCP Server? What is the minimum requirement to run SeaTunnel MCP Server? You need Python ≥ 3.9 and a running SeaTunnel instance. Can I use SeaTunnel MCP Server with other LLM interfaces? Yes, it is designed to work with various LLM interfaces, including Claude. Is there any support for dynamic connection configuration? Yes, the server allows you to view and update connection settings at runtime.

As an MCP (Model Context Protocol) server, SeaTunnel MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the SeaTunnel MCP Server, clone the repository, set up a virtual environment, install the required packages, and configure the environment variables for the SeaTunnel API. You can then run the server and manage jobs through the provided API. key features of SeaTunnel MCP Server? Job management (submit, stop, monitor) System monitoring and information retrieval REST API interaction with SeaTunnel services Built-in logging and monitoring tools Dynamic connection configuration Comprehensive job information and statistics use cases of SeaTunnel MCP Server? Submitting and managing data processing jobs in SeaTunnel. Monitoring the status and performance of SeaTunnel jobs. Interacting with SeaTunnel services through a RESTful API. FAQ from SeaTunnel MCP Server? What is the minimum requirement to run SeaTunnel MCP Server? You need Python ≥ 3.9 and a running SeaTunnel instance. Can I use SeaTunnel MCP Server with other LLM interfaces? Yes, it is designed to work with various LLM interfaces, including Claude. Is there any support for dynamic connection configuration? Yes, the server allows you to view and update connection settings at runtime.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.