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Red Hat OpenShift AI

A specialized MCP server that integrates with Red Hat OpenShift AI to manage and monitor Kubernetes resources like pods and ML workbenches directly through AI-driven workflows.

Stars
1
Tools
2
Updated
Jan 12, 2026
Validated
Mar 1, 2026

mcp-server-RHOAI

This project aims to implement MCP servers working with RHOAI and is used as a bachelors thesis.

Setting up MCP server in Cursor

  • Compile the main.go function (in repo -> go build -o any_name)
  • In Cursor press Ctrl + Shift + P and type in Open MCP Settings
  • Click on New MCP server

Example code you can add to make new MCP server (the command is path to the binary you build):

{
  "mcpServers": {
    "mcp-server-rhoai": {
      "command": "/home/amaly/mcp-server-rhoai/mcp-server-rhoai"
    }
  }
}
  • Check that server is enabled in Cursor MCP settings and has some tools you can use
  • now you can use the mcp tools just by talking to AI agent in Cursor (example prompt: find me workbenches in namespace mcp-test)

(to use the tools operating with OpenShift cluster you need to be logged in)

Linting

This repository uses golangci-lint.

  • Install:
    • Using Go: go install github.com/golangci/golangci-lint/cmd/golangci-lint@latest
    • Or see https://golangci-lint.run for other options.
  • Run locally:
    • With Make: make lint
    • Directly: golangci-lint run

Configuration is in .golangci.yml.

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