beam-mcp-server
3
The Apache Beam MCP Server is an advanced tool for managing Apache Beam data pipelines across various runners, offering a standardized API compliant with the Model Context Protocol. It supports AI integration, multiple runners, and is production-ready with Docker and Kubernetes support.
Apache Beam MCP Server
A Model Context Protocol (MCP) server for managing Apache Beam pipelines across different runners: Flink, Spark, Dataflow, and Direct.
What is This?
The Apache Beam MCP Server provides a standardized API for managing Apache Beam data pipelines across different runners. It's designed for:
- Data Engineers: Manage pipelines with a consistent API regardless of runner
- AI/LLM Developers: Enable AI-controlled data pipelines via the MCP standard
- DevOps Teams: Simplify pipeline operations and monitoring
Key Features
- Multi-Runner Support: One API for Flink, Spark, Dataflow, and Direct runners
- MCP Compliant: Follows the Model Context Protocol for AI integration
- Pipeline Management: Create, monitor, and control data pipelines
- Easy to Extend: Add new runners or custom features
- Production-Ready: Includes Docker/Kubernetes deployment, monitoring, and scaling
Quick Start
Installation
- Clone the repository and setup a virtual environment.
- Install the dependencies using
pip.
Start the Server
- Start with the Direct or Flink runner by configuring appropriate settings.
Docker & Kubernetes Support
- Use pre-built Docker images or build your own.
- Deploy with Docker Compose for local development.
- Includes Kubernetes manifests for deployment.
MCP Standard Endpoints
- Offers endpoints for tools, resources, and contexts management.
For detailed documentation, refer to the respective guides within the repository.