Rancher MCP Server
Integrates with Rancher to manage Kubernetes clusters, providing tools for cluster management, workload deployment, and resource monitoring via the Rancher API.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Rancher MCP Serverlist all Rancher clusters"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Rancher MCP Server
Rancher Mcp Server
A Model Context Protocol (MCP) server for integrating Rancher with GenAI applications.
Overview
Kubernetes management and deployment platform
Related MCP server: Kubernetes MCP Server
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-serverOr 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
This server cannot be deployed
Maintenance
Related MCP Connectors
- mcpOAuthcom.vibgrate
Query your team's drift, vulnerability, and upgrade data from any AI assistant. OAuth 2.1, 51 tools.
Discover, compare, and monitor 1,400+ APIs directly from your AI coding agent.
- StackOneOAuthcom.stackone
Give AI agents 30,000+ safe, token-optimized actions across Workday, SAP, Oracle + hundreds more.
Give your AI agents trusted access to the full Postman platform.
Related MCP Servers
- FlicenseBqualityFmaintenanceA gateway for Generative AI systems to interact with multiple Kubernetes clusters through Model Context Protocol, enabling comprehensive Kubernetes resource operations and multi-cluster management.420 npm4-
- AlicenseBqualityDmaintenanceEnables AI assistants to interact with Kubernetes clusters through 50 specialized tools for comprehensive cluster management. Supports both local kubectl and remote SSH-based execution for managing pods, deployments, services, and other Kubernetes resources.49MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage Docker containers, images, networks, and services through the Portainer API.-
- AlicenseNot gradedqualityFmaintenanceEnables AI-powered management of multi-cluster Kubernetes environments through natural language, supporting kubectl operations, function execution, and agent interactions with multiple AI providers.7Apache 2.0