Schema

Server Configuration

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Prompts

Interactive templates invoked by user choice

Name	Description
No prompts

Resources

Contextual data attached and managed by the client

Name	Description
No resources

Tools

Functions exposed to the LLM to take actions

Name	Description
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.
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.

Name

Description

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.

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.

Server Configuration

Schema

Prompts

Resources

Tools

MCP directory API