Red Hat API MCP Server

This project implements a Model Context Protocol (MCP) server that provides tools for interacting with Red Hat APIs, making it easy to integrate with LLM applications.

Table of Contents

• Features
• Prerequisites
• Installation
• Configuration
• Usage
• Available Tools
• Examples
• Troubleshooting
• Advanced Usage
• Contributing

Features

The server exposes the following Red Hat API tools:

1. Search Red Hat KCS Solutions - Search for knowledge base solutions
2. Get Solution by ID - Retrieve full solution content
3. Search Red Hat Cases - Find cases matching a query
4. Get Case Details - Retrieve detailed information about a specific case

Prerequisites

• Python 3.13 or higher
• UV package manager (recommended Python package manager)
• Red Hat API offline token (obtained from your Red Hat account)

Installation

1. Install UV (if not already installed)

2. Clone and Setup Project

git clone 
cd redhat-api-mcp
uv sync

Configuration

1. Get Your Red Hat API Token

1. Visit the Red Hat API Token Management page per KCS
2. Log in to your Red Hat account
3. Generate an offline token
4. Copy and save the token securely

2. Environment Setup

Create a .env file in the project root with your Red Hat API token:

# Create .env file
echo "RH_API_OFFLINE_TOKEN=your_offline_token_here" > .env

Replace your_offline_token_here with your actual offline token from step 1.

Usage

Developing with the MCP Inspector

You can test the server using the MCP development tools:

uv run mcp dev redhat_mcp_server.py

This will start the MCP inspector, allowing you to interact with your tools interactively.

Integrating with Claude Desktop

To install the server in Claude Desktop, add this configuration to your Claude Desktop config file.

{
  "mcpServers": {
    "redhat": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/your/redhat-api-mcp",
        "run",
        "redhat_mcp_server.py"
      ],
      "env": {
        "RH_API_OFFLINE_TOKEN": "your_actual_offline_token_here"
      }
    }
  }
}

Available Tools

search_kcs

Search for Red Hat KCS Solutions and Articles.