Synapse Layer — Trust Infrastructure for AI Agents

Reliability

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "synapse-layer-trust-infrastructure-for-ai-agents": {
      "type": "http",
      "url": "https://forge.synapselayer.org/api/mcp"
    }
  }
}

13 tools

• 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. Governance: requires reason (10–200 chars) because results contain plaintext content.

• 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. Returns REDACTED metadata by default (detail="summary"). Use detail="full" with a reason (10–200 chars) to retrieve plaintext content under MEMORY_EXPORT_GOVERNANCE_V1.

• 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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