# GroundDocs

> Use this tool when you need to retrieve accurate and version-specific documentation for Python libraries and Kubernetes resources. GroundDocs provides source-verified documentation lookup, solving problems of unreliable or outdated information, and offers a reliable interface for developers to access authoritative sources. It takes in queries and returns precise documentation content, making it ideal for use cases where contextually relevant information is crucial, such as during AI assistant conversations.

Canonical page: https://skillsregistry.net/skills/grounddocs  
JSON: https://api.skillsregistry.net/v1/skills/grounddocs

## Description

GroundDocs MCP server provides source-verified documentation lookup for Python libraries and Kubernetes resources. Built with TypeScript and the Model Context Protocol SDK, it offers two specialized tools that retrieve accurate, version-specific documentation from authoritative sources. The server connects to a dedicated backend service (grounddocs.onrender.com) that indexes and serves documentation content, ensuring responses are grounded in real documentation rather than potentially hallucinated information. This implementation is particularly valuable for developers who need reliable, contextually relevant documentation without leaving their AI assistant conversation.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/grounddocs)
- **Repository:** <https://github.com/grounddocs/grounddocs>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "grounddocs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/grounddocs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/grounddocs/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt