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Add persistent memory for MCP agents to store and retrieve user context.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Clark MCP Server" yet — see the docs or source repo.
Use Clark MCP Server to store my profile and preferences: I prefer concise replies, Chinese by default, and meeting summaries with action items. Then query these preferences and generate assistant configuration suggestions.
Returns a summary of stored profile and preferences plus configuration suggestions for the assistant.
Query Clark MCP Server for my past procedural memory on preparing weekly reports, and turn it into a step-by-step checklist including data collection, summary generation, and pre-send review.
Outputs a weekly report workflow checklist derived from stored procedural memory.
Query Clark MCP Server for recent episodic and factual memory about Client A, summarize the key context, and draft a follow-up email.
Returns a summary of client context and a more context-aware follow-up email draft.
Manage persistent agent memories across global or repository-specific scopes.
Give AI agents persistent memory, searchable knowledge, and automatic consolidation.
Persistent knowledge-graph memory for MCP with semantic search and version tracking.
Provide shared cross-session memory storage, retrieval, and governance for MCP AI tools.
Share memory, preferences, and chat history across AI assistants.
Give MCP-compatible AI agents persistent local memory across sessions.