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Provide retrieval-backed Wawona stack knowledge to Cursor models through MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "WWN-MCP" yet — see the docs or source repo.
Use WWN-MCP to retrieve the role, dependencies, and typical request flow of the authentication service in the Wawona stack, then summarize in bullet points.
A retrieval-backed summary of the component, its dependencies, and its request flow.
Using the Wawona knowledge base via WWN-MCP, explain where this module fits in the overall architecture, which services it interacts with, and what to watch out for when modifying it.
An explanation of the module’s role, architectural position, related services, and change risks.
Based on Wawona stack knowledge retrievable through WWN-MCP, create an onboarding FAQ for new team members covering core services, common terms, and troubleshooting entry points.
A structured onboarding FAQ that helps newcomers understand the system and troubleshooting paths quickly.
Delegate coding, shell tasks, and codebase queries to Cursor AI.
Get intelligent model recommendations for tasks and repositories in Cursor.
Search local documents semantically with a RAG MCP server powered by embeddings.
Combine web search and local RAG for private AI help in Cursor.
Query databases and process results through natural language interactions.
Build and query vector knowledge bases for semantic search and RAG workflows.