0.1.16npm · @grounddocs/grounddocs · latest release
Observed 2026-08-22T08:06:16.069Z using mcpSecurity-inventory. Protocol 2025-06-18.
| Tool | Category | Risk |
|---|---|---|
k8s_get_documentation
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.
Input schema{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "A natural language question (e.g., \"How do I define a Deployment?\")"
},
"version": {
"type": "string",
"description": "Optional Kubernetes version (e.g., \"v1.28\"). Defaults to detected cluster version if not specified."
},
"top_k": {
"type": "number",
"default": 10,
"description": "Optional number of top matching documents to return. Defaults to 10."
}
},
"required": [
"query"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
} | — | — |
python_get_documentation
Primary Python documentation lookup tool. Use this for every Python documentation-related query.
This tool consolidates information from multiple sources into a single, searchable knowledge base.
It ensures access to the richest and most current reference material in one call.
Args:
query: A natural language question (e.g., "How do I define a Deployment?").
library: Python library to search documentation for.
version: Optional Library version (e.g., "4.46.1"). Defaults to detected library version if not specified.
top_k: Optional number of top matching documents to return. Defaults to 10.
Returns:
A list of dictionaries, each containing document path and corresponding content.
Example Usage:
# Search Python docs for Transformers
python_get_documentation(query="what is a transformers mlm token", library="transformers", version="4.46.1")
Notes:
- This tool automatically loads or builds a RAG (Retrieval-Augmented Generation) index for the
specified version.
- If an index is not found locally, the tool will fetch and index the documentation before responding.
- You should call this function for any question that needs project documentation context.
Input schema{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "A natural language question (e.g., \"How do I use transformers?\")."
},
"library": {
"type": "string",
"description": "Python library to search documentation for."
},
"version": {
"type": "string",
"description": "Optional Library version (e.g., \"4.46.1\"). Defaults to detected library version if not specified."
},
"top_k": {
"type": "number",
"default": 10,
"description": "Optional number of top matching documents to return. Defaults to 10."
}
},
"required": [
"query",
"library"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
} | — | — |
No completed comparison is available.
| Risk | Change | Subject |
|---|---|---|
| No material changes recorded. | ||
| Severity | Finding | Advisory |
|---|---|---|
| No confirmed vulnerability is published for this version. | ||
Artifact SHA-256: 3579452bbb3b5f9971a22d33eb9ea2035fbc85ea2a2f39044f6cf7843042eb62
Scanner: mcp-proof-engine 0.1.0.