What is Rancher Mcp Server

Rancher MCP Server is a Model Context Protocol (MCP) server designed to integrate Rancher with GenAI applications, serving as a Kubernetes management and deployment platform.

Use cases

Use cases include deploying and managing Kubernetes clusters, integrating with GenAI applications, and providing a robust API for enterprise-level applications.

How to use

To use Rancher MCP Server, install it via pip with ‘pip install rancher-mcp-server’ or clone the repository and install from source. Configure the server by creating a ‘.env’ file or setting environment variables. Initialize and start the server using Python.

Key features

Key features include comprehensive Rancher API coverage, multiple authentication methods, enterprise readiness with rate limiting, full error handling and retry logic, and asynchronous support for improved performance.

Where to use

Rancher MCP Server can be used in cloud-native environments, enterprise applications, and any scenario requiring efficient Kubernetes management and deployment.

Rancher MCP Server

A Model Context Protocol (MCP) server for integrating Rancher with GenAI applications.

Overview

Kubernetes management and deployment platform

Features

• Comprehensive Rancher API coverage
• Multiple authentication methods
• Enterprise-ready with rate limiting
• Full error handling and retry logic
• Async support for better performance

Installation

pip install rancher-mcp-server

Or install from source:

git clone https://github.com/asklokesh/rancher-mcp-server.git
cd rancher-mcp-server
pip install -e .

Configuration

Create a .env file or set environment variables according to Rancher API requirements.

Quick Start

from rancher_mcp import RancherMCPServer

# Initialize the server
server = RancherMCPServer()

# Start the server
server.start()

License

MIT License - see LICENSE file for details