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Add permission-aware shared memory search, recall, and writing across team tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Linked Layer MCP" yet — see the docs or source repo.
Search the shared memory graph for discussions, decisions, and owners related to the pricing page redesign from the past three months, and return only content I’m allowed to access.
A permission-filtered summary of relevant records, key decisions, people involved, and source links.
Write today’s review meeting conclusions about the API rate-limiting approach into the shared memory graph, link them to the Gateway Optimization project, and mark them as visible only to the backend team.
A structured memory entry with project links, access controls, and write confirmation.
Using shared memory from docs, task systems, and chat records, summarize the latest status, blockers, and next actions for the Q4 launch plan, limited to my access permissions.
A cross-tool progress summary with blockers, recommended next actions, and accessible evidence sources.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Provide persistent shared memory, fact consolidation, and hybrid retrieval for AI teams.
Connect AI apps to a shared knowledge graph for consistent retrieval and reasoning.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.
Connect AI to Graphlit for content access, retrieval, and context automation.
Manage team memory, tasks, handoffs, and search in one MCP tool.