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Synapse Layer (Synapse Protocol)

AI & Memory Remote 13 tools

MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient scoring, cross-agent handover, and immutable audit trail.

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How to connect

1
Add the remote MCP URL
Paste this endpoint into Claude, ChatGPT, or Cursor MCP settings.
https://synapse-protocol--synapselayer.run.tools
2
Verify the tools loaded
Confirm tools/list returns the expected tools before relying on them in production.

Tools

(13)
  • recall

    Retrieve relevant persisted memory using semantic, temporal, priority, or hybrid routing. Governance: requires reason (10–200 chars). Rate limit: 20/min.

  • save_to_synapse

    Persist memory with encryption at rest, sanitization, and deduplication controls.

  • process_text

    Extract candidate memories from free-form text with governance filters and sanitization.

  • search

    Search persisted memory across agent scopes using full-text matching.

  • health_check

    Check service availability, engine version, and storage health. Public method.

  • initialize_context

    Initialize a persistent memory context for a conversation or agent session.

  • save_memory

    Save a memory entry to the persistent store. Alias of save_to_synapse.

  • store_memory

    Store structured memory with metadata and trust scoring.

  • recall_memory

    Recall persisted memory by query. Alias of recall.

  • list_memories

    List memory metadata with pagination and governance limits.

  • memory_feedback

    Submit feedback to adjust trust scoring for stored memories.

  • neural_handover

    Transfer contextual state between agents with continuity controls.

  • slo_report

    Return uptime and SLO metrics for the MCP service.

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