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 "Install 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 installed
Maintenance
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MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/asklokesh/rancher-mcp-server'
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