RTC MCP Server
A Model Context Protocol (MCP) server implementation for managing Alibaba Cloud Realtime Computing Flink resources
Overview
What is RTC MCP Server?
RTC MCP Server is a Model Context Protocol (MCP) server implementation designed for managing Alibaba Cloud Realtime Computing Flink resources, providing a standardized interface for AI models to interact with Flink services.
How to use RTC MCP Server?
To use the RTC MCP Server, configure your MCP settings file with the server details and your Alibaba Cloud credentials, then run the server using Java.
Key features of RTC MCP Server?
- Create and manage Flink clusters
- Manage Flink SQL jobs
- Deploy and control Flink applications
- Monitor job status and metrics
- Manage savepoints and deployments
- Workspace and namespace management
Use cases of RTC MCP Server?
- Managing Flink clusters for real-time data processing.
- Deploying and monitoring Flink applications in cloud environments.
- Facilitating AI model interactions with Flink services.
FAQ from RTC MCP Server?
- What are the prerequisites to use RTC MCP Server?
You need JDK 17 or higher, Maven 3.6 or higher, and an Alibaba Cloud account with RTC access.
- How do I deploy a Flink job?
Use the
start_jobcommand after creating a deployment.
- Is there support for multiple transport modes?
Yes, the server supports both
webfluxandstdiomodes.
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