Retrieve past decisions, constraints, and artifacts from MCP memory.
npx skills add https://github.com/janjaszczak/cursor --skill mcp-memory-recall
Please help me install this Agent Skill. Skill: mcp-memory-recall Source: https://github.com/janjaszczak/cursor/tree/main/skills/mcp-memory-recall Command: npx skills add https://github.com/janjaszczak/cursor --skill mcp-memory-recall
Recall and reuse prior decisions, constraints, and artifacts stored in MCP memory (e.g., Neo4j) to keep projects consistent and move faster.
Ask me to fetch previously stored decisions from MCP memory before continuing with your current task.
High-intent search queries and answers about installing and using this skill.
To recall past decisions from MCP memory, you can prompt the system to retrieve relevant prior constraints and artifacts. This ensures context continuity and consistency when resuming multi-step projects across sessions.
Conflict resolution identifies conflicting directives in MCP memory and applies the most recent user instruction. This mechanism preserves project context and maintains momentum without manual reconciliation of outdated constraints.
Neo4j is an example of an MCP memory server you can use to store and retrieve past decisions. The system requires access to a compatible MCP memory server and performs safety checks if memory is unavailable.
If the MCP memory server is unavailable, the system executes safety checks to prevent errors. This ensures your current task can proceed securely even when prior context cannot be retrieved from the memory database.
The best way to ensure context continuity is retrieving past decisions and lessons learned from MCP memory before starting. This preserves project context across sessions and informs current work with relevant design constraints.
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