Troubleshoot MCP Server
T

Troubleshoot MCP Server

A server based on the MCP protocol for AI models to interact with Kubernetes troubleshooting support bundles, providing bundle management, command execution, and file browsing functions.
2.5 points
9.2K

What is the MCP Server for Kubernetes Support Bundles?

The MCP Server is a specialized service that allows AI models to examine Kubernetes cluster issues by analyzing support bundles. These bundles contain diagnostic information from your Kubernetes clusters, and the MCP Server provides tools for AI models to explore this data systematically.

How to use the MCP Server?

You can run the server either as a containerized application (recommended) or install it directly. The server provides a structured way for AI assistants to request and analyze Kubernetes diagnostic data through a standardized protocol.

When should I use this?

Use this server when you need AI assistance to troubleshoot complex Kubernetes cluster issues, especially when dealing with support bundles generated by the Troubleshoot.sh tool. It's particularly valuable for automated analysis of large or complex clusters.

Key Features

Bundle Management
Initialize and organize Kubernetes support bundles for analysis, keeping diagnostic data structured and accessible.
Kubectl Command Execution
Run standard kubectl commands against the bundle's API server to examine cluster state as it was when the bundle was created.
File Explorer
Navigate through all files in the support bundle, with capabilities to search, list, and read files as needed for troubleshooting.
Secure Access
Token-based authentication ensures only authorized AI models can access your diagnostic data.
Advantages
Enables AI-powered analysis of complex Kubernetes issues
Standardizes access to support bundle data
Containerized deployment for easy setup
Provides familiar kubectl interface for cluster inspection
Limitations
Requires support bundles generated by Troubleshoot.sh
Limited to analyzing historical data (as captured in the bundle)
Initial setup requires configuration

Getting Started

Container Setup (Recommended)
The easiest way to run the server is using Podman with our pre-configured container.
Manual Installation
For development or custom deployments, you can install directly on your system.
Configure Authentication
Set up your access token either through environment variables or configuration files.

Usage Scenarios

Analyzing Pod Failures
An AI model investigates why certain pods are failing by examining their logs and events.
Cluster-wide Error Search
Searching all log files in the bundle for specific error patterns.

Frequently Asked Questions

What exactly is a Kubernetes support bundle?
How is this different from running kubectl directly?
Is my data secure when using this server?

Additional Resources

Troubleshoot.sh Documentation
Learn how to create Kubernetes support bundles
MCP Protocol Specification
Technical details about the Model Context Protocol
Example Support Bundles
Sample bundles for testing and development

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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