beam-mcp-server

beam-mcp-server

3.3
cloud_platformsdeveloper_tools

If you are the rightful owner of beam-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The Apache Beam MCP Server provides a standardized API for managing Apache Beam data pipelines across different runners.

The Apache Beam MCP Server is designed to manage Apache Beam pipelines across various runners such as Flink, Spark, Dataflow, and Direct. It offers a consistent API for data engineers, AI/LLM developers, and DevOps teams to manage, monitor, and control data pipelines efficiently. The server is MCP compliant, allowing seamless integration with AI systems, and is production-ready with support for Docker and Kubernetes deployments. It simplifies pipeline operations and monitoring, making it easier to extend with new runners or custom features.

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.

Tools

  1. sentiment-analyzer

    Analyzes sentiment in text data.

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