Overview
what is Dataproc MCP Server?
Dataproc MCP Server is a production-ready Model Context Protocol (MCP) server designed for Google Cloud Dataproc operations, providing intelligent parameter injection and enterprise-grade security.
how to use Dataproc MCP Server?
To use the Dataproc MCP Server, you can integrate it with Roo (VS Code) by adding specific configurations to your MCP settings or install it globally using npm. A quick setup guide is provided for easy installation and configuration.
key features of Dataproc MCP Server?
- 16 production-ready MCP tools for complete Dataproc management.
- Intelligent parameter reduction (60-80%) for efficient operations.
- Multi-environment support for development, staging, and production.
- Enterprise security features including input validation, rate limiting, and audit logging.
- Comprehensive quality assurance with over 90% test coverage.
use cases of Dataproc MCP Server?
- Managing and monitoring Google Cloud Dataproc clusters.
- Submitting and tracking Spark/Hive jobs.
- Configuring and validating Dataproc environments for analytics workloads.
FAQ from Dataproc MCP Server?
- Is Dataproc MCP Server compatible with all Google Cloud services?
Yes, it is designed to work seamlessly with Google Cloud Dataproc and other related services.
- How secure is the Dataproc MCP Server?
It includes enterprise-grade security features such as input validation and audit logging to ensure secure operations.
- Can I contribute to the Dataproc MCP Server?
Yes, contributions are welcome, and guidelines are provided in the repository.
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