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RTC MCP Server

@gnuhpc

Repository

Basic information

Category

Other

Transports

stdio

Author

gnuhpc

About RTC MCP Server

A Model Context Protocol (MCP) server implementation for managing Alibaba Cloud Realtime Computing Flink resources

#rtc-mcp-server#flink#cloud-computing

RTC MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "rtc-mcp-server": {
      "command": "java",
      "args": [
        "-Dtransport.mode=stdio",
        "-Dspring.main.web-application-type=none",
        "-Dspring.main.banner-mode=off",
        "-Dlogging.file.name=/path/to/rtc-mcp-server/mcpserver.log",
        "-jar",
        "/path/to/rtc-mcp-server/target/rtc-mcp-server-1.0-SNAPSHOT.jar"
      ],
      "env": {
        "ALIYUN_ACCESS_KEY_ID": "your-access-key-id",
        "ALIYUN_ACCESS_KEY_SECRET": "your-access-key-secret"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

RTC MCP Server tools

19

Start a deployed Flink job

Stop a running Flink job

List all jobs in a deployment

Delete a non-running job

Get job diagnosis information

Create a new Flink deployment

Get deployment metrics

Create a savepoint for a job

Create a new variable

Update an existing variable

Delete a variable

List variables with pagination

Create a new workspace

Get workspace information

List all workspaces

Get catalog information

Get database information

Get table information

Execute SQL statements

Overview

What is RTC MCP Server?

The RTC MCP Server is a Model Context Protocol (MCP) server implementation for managing Alibaba Cloud Realtime Compute for Apache Flink resources. It provides a standardized interface for AI models to interact with Alibaba Cloud Flink services.

How to use RTC MCP Server?

Build the project using Maven (mvn clean package) and run the JAR (java -jar target/rtc-mcp-server-1.0-SNAPSHOT.jar). Configure the MCP client with the java command, passing the JAR path and setting Alibaba Cloud credentials in environment variables (ALIYUN_ACCESS_KEY_ID and ALIYUN_ACCESS_KEY_SECRET). Use the available MCP tools to manage Flink resources.

Key features of RTC MCP Server

  • Create and manage Flink clusters
  • Create and manage Flink SQL jobs and deployments
  • Monitor job status and metrics
  • Create and manage savepoints
  • Workspace and namespace management
  • Catalog operations and SQL statement execution
  • Support for webflux and stdio transport modes

Use cases of RTC MCP Server

  • Automating Flink cluster and job management via AI assistants
  • Integrating Alibaba Cloud Flink operations with MCP-compatible tools
  • Performing ad-hoc SQL queries and catalog lookups on Flink deployments
  • Managing deployment lifecycles, including savepoints and metrics retrieval

Frequently asked questions

1

What prerequisites are needed to run the RTC MCP Server?

JDK 17 or higher, Maven 3.6 or higher, an Alibaba Cloud account with Realtime Compute access, and an Access Key ID and Secret.

2

How do I configure Alibaba Cloud credentials?

Set the `ALIYUN_ACCESS_KEY_ID` and `ALIYUN_ACCESS_KEY_SECRET` environment variables in the MCP client configuration (e.g., `cline_mcp_settings.json`).

3

What MCP tools does the server provide?

The server provides tools for job management (start, stop, list, delete, diagnose), deployment management (create, get metrics, create savepoint), variable management (CRUD), workspace management (create, get info, list), and catalog operations (get catalogs, databases, tables, execute SQL).

4

How can I run the server in development mode?

Use stdio transport by adding `-Dtransport.mode=stdio` and other JVM arguments as shown in the README, then run the JAR.

5

What transport modes are supported?

The server supports two modes: `webflux` (default, using Spring Web

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