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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.
Combine web search and local RAG for private AI help in Cursor.
Store, search, and reuse persistent memory in Cursor with natural language.
Query databases and process results through natural language interactions.
Use Cursor MCP with a Google Docs agent for document automation and collaboration.
Turn unstructured documents into a searchable knowledge base for AI agents.