Troubleshoot MCP Server
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 ManagementInitialize and organize Kubernetes support bundles for analysis, keeping diagnostic data structured and accessible.
Kubectl Command ExecutionRun standard kubectl commands against the bundle's API server to examine cluster state as it was when the bundle was created.
File ExplorerNavigate through all files in the support bundle, with capabilities to search, list, and read files as needed for troubleshooting.
Secure AccessToken-based authentication ensures only authorized AI models can access your diagnostic data.
Pros and Cons
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 FailuresAn AI model investigates why certain pods are failing by examining their logs and events.
Cluster-wide Error SearchSearching 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
精選MCP服務推薦

Markdownify MCP
Markdownify是一個多功能文件轉換服務,支持將PDF、圖片、音頻等多種格式及網頁內容轉換為Markdown格式。
TypeScript
1.7K
5分

Baidu Map
已認證
百度地圖MCP Server是國內首個兼容MCP協議的地圖服務,提供地理編碼、路線規劃等10個標準化API接口,支持Python和Typescript快速接入,賦能智能體實現地圖相關功能。
Python
695
4.5分

Firecrawl MCP Server
Firecrawl MCP Server是一個集成Firecrawl網頁抓取能力的模型上下文協議服務器,提供豐富的網頁抓取、搜索和內容提取功能。
TypeScript
3.8K
5分

Sequential Thinking MCP Server
一個基於MCP協議的結構化思維服務器,通過定義思考階段幫助分解複雜問題並生成總結
Python
247
4.5分

Notion Api MCP
已認證
一個基於Python的MCP服務器,通過Notion API提供高級待辦事項管理和內容組織功能,實現AI模型與Notion的無縫集成。
Python
111
4.5分

Magic MCP
Magic Component Platform (MCP) 是一個AI驅動的UI組件生成工具,通過自然語言描述幫助開發者快速創建現代化UI組件,支持多種IDE集成。
JavaScript
1.7K
5分

Edgeone Pages MCP Server
EdgeOne Pages MCP是一個通過MCP協議快速部署HTML內容到EdgeOne Pages並獲取公開URL的服務
TypeScript
244
4.8分

Context7
Context7 MCP是一個為AI編程助手提供即時、版本特定文檔和代碼示例的服務,通過Model Context Protocol直接集成到提示中,解決LLM使用過時信息的問題。
TypeScript
5.2K
4.7分