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Glama

Dedalus MCP Documentation Server

by kitan23

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OPENAI_API_KEYYesYour OpenAI API key (required for AI features)

Schema

Prompts

Interactive templates invoked by user choice

NameDescription
documentation_query Generate a prompt for querying documentation Args: topic: The topic to query about detail_level: Level of detail (brief, medium, comprehensive) Returns: A formatted prompt for documentation queries

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
list_docs
List all available documentation files Args: directory: Optional subdirectory to list (relative to docs root) Returns: List of document metadata
search_docs
Search documentation using keyword matching (semantic search ready) Args: query: Search query string max_results: Maximum number of results to return search_content: Whether to search in document content search_titles: Whether to search in document titles Returns: List of matching documents with relevance scores
ask_docs
Answer questions about documentation using AI Args: question: The question to answer context_docs: Optional list of document paths to use as context max_context_length: Maximum characters of context to include user_id: Optional user identifier for rate limiting Returns: AI-generated answer with sources
index_docs
Index or re-index all documentation for improved search Args: rebuild: Whether to rebuild the entire index from scratch Returns: Indexing statistics
analyze_docs
Analyze documentation for specific tasks (foundation for agent handoffs) Args: task: Analysis task (e.g., "find_gaps", "generate_outline", "check_consistency") docs: Optional list of specific documents to analyze output_format: Output format (summary, detailed, structured) Returns: Analysis results ready for agent handoff

MCP directory API

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