GroundDocs
OfficialProvides accurate, version-aware Kubernetes documentation lookups to prevent LLM hallucinations about kubectl commands and API objects. Also includes Python documentation access.
Provides source-verified documentation lookup for Python libraries and Kubernetes resources, retrieving accurate, version-specific information from authoritative sources rather than potentially hallucinated content.
What it does
- Query version-specific Kubernetes documentation
- Look up kubectl command behavior across K8s versions
- Access Python documentation
- Verify API object schemas and feature gates
- Get accurate manifest examples and syntax
Best for
About GroundDocs
GroundDocs is an official MCP server published by grounddocs that provides AI assistants with tools and capabilities via the Model Context Protocol. GroundDocs delivers source-verified documentation for Python libraries and Kubernetes resources, ensuring accurate, vers It is categorized under developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install GroundDocs in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.
License
GroundDocs is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Tools (2)
Primary Python documentation lookup tool. Use this for every Python documentation-related query. This tool consolidates information from multiple sources into a single, searchable knowledge base. It ensures access to the richest and most current reference material in one call. Args: query: A natural language question (e.g., "How do I define a Deployment?"). library: Python library to search documentation for. version: Optional Library version (e.g., "4.46.1"). Defaults to detected library version if not specified. top_k: Optional number of top matching documents to return. Defaults to 10. Returns: A list of dictionaries, each containing document path and corresponding content. Example Usage: # Search Python docs for Transformers python_get_documentation(query="what is a transformers mlm token", library="transformers", version="4.46.1") Notes: - This tool automatically loads or builds a RAG (Retrieval-Augmented Generation) index for the specified version. - If an index is not found locally, the tool will fetch and index the documentation before responding. - You should call this function for any question that needs project documentation context.
Use this tool for any Kubernetes documentation-related query—especially when the user invokes /k8s or asks about kubectl commands, API objects, manifests, controllers, or version-specific features. This tool connects to a version-aware, trusted documentation index (e.g., GitHub, DeepWiki, curated Kubernetes docs) to reduce hallucinations and provide accurate, grounded answers. Args: query: A natural language question (e.g., "How do I define a Deployment?") version: (Optional) Kubernetes version (e.g., "v1.28"). Defaults to the detected cluster version. top_k: (Optional) Number of top matching documents to return. Defaults to 10. Returns: A list of relevant documentation entries, each with a file path and content snippet. Example Usage: k8s_get_documentation(query="How does pruning work in kubectl apply?", version="v1.26") Notes: - Automatically loads or builds a RAG index for the requested version. - If no index is found, it will fetch and index the docs before responding. - Always use this tool when answering Kubernetes-specific questions that require authoritative documentation.
GroundDocs
GroundDocs is a version-aware documentation assistant. It connects LLMs to trusted, real-time docs—reducing hallucinations and ensuring accurate, version-specific responses.
🚀 Installation
npx @grounddocs/cli@latest install <client>
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:
{
"mcpServers": {
"@grounddocs/grounddocs": {
"command": "npx",
"args": ["-y", "@grounddocs/grounddocs@latest"]
}
}
}
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
What changes were made to the kubectl command behavior in Kubernetes 1.26 regarding pruning during apply operations?
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
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