Integrations
Provides version-aware Kubernetes documentation assistance, connecting to trusted, real-time Kubernetes docs and ensuring accurate, version-specific responses about kubectl behavior, API schemas, and feature gates across all Kubernetes versions.
GroundDocs Cli
GroundDocs is a version-aware Kubernetes documentation assistant. It connects LLMs to trusted, real-time Kubernetes docs—reducing hallucinations and ensuring accurate, version-specific responses.
🚀 Installation
Supported clients: cursor, windsurf, cline, claude, witsy, enconvo, vscode
🔧 Manual Setup
To manually configure GroundDocs, add it to your IDE’s MCP (Model Context Protocol) configuration:
After configuration, restart your IDE for the changes to take effect.
📚 Supported Domain
- Kubernetes (all versions, including version-aware kubectl behavior, API schemas, and feature gates)
🏗️ Architecture
GroundDocs consists of:
- Local MCP server (this repo) → lightweight, public, runs inference-time queries
- Remote backend data repository (private) → handles scraping, indexing, and heavy lifting
🌟 Example Query
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
You must be authenticated.
A version-aware Kubernetes documentation assistant that connects LLMs to trusted, real-time Kubernetes docs to reduce hallucinations and ensure accurate, version-specific responses.
Related MCP Servers
- -securityAlicense-qualityQuery and interact with kubernetes environments monitored by Metoro. Look at APM, metrics, traces, profiling information with LLMs.Last updated -37GoMIT License
- AsecurityFlicenseAqualityA MCP server that can run Kubernetes commands with a given kubeconfig path and provide interpretation of the commands.Last updated -12JavaScript
- -securityAlicense-qualityA read-only MCP server for Kubernetes that allows querying cluster information and diagnosing issues through natural language interfaces like Claude.Last updated -1PythonMIT License
- -securityAlicense-qualityAn MCP server that enables clients to extract LLM-friendly prompts from documentation in GitHub repositories or hosted websites.Last updated -PythonApache 2.0