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Provide AI agents shared team context, session captures, and structured documentation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Lore MCP" yet — see the docs or source repo.
Use Lore MCP to retrieve the current project's area context, recent session captures, and relevant ADRs, then summarize the module background, known constraints, and open questions.
A team-knowledge-based summary covering constraints, decisions, and unresolved items.
Use Lore MCP to find TODOs, planning docs, logs, and ADRs related to 'user permission refactor' and compile the dependencies, risks, and historical decisions developers must know first.
An implementation-ready brief that quickly explains historical context and execution priorities.
Based on team documents in Lore MCP, answer: why did we choose the current GraphQL architecture? Cite relevant ADRs, logs, or plans and provide a concise conclusion.
A sourced answer explaining the decision rationale and the supporting documents.
Search, manage, verify, and reindex documents in a local vector knowledge base.
Let AI assistants query and edit worldbuilding data with review-gated changes.
Store and retrieve long-term memory across agents and sessions.
Give MCP-compatible AI agents persistent local memory, search, and auto-loaded context.
Enable AI agents to play Library of Ruina through game state and UI control.
Connect AI to your BookLore library for recommendations, organization, and Kindle delivery.