Synapse Layer — Trust Infrastructure for AI Agents
MCP-native Trust Infrastructure for AI Agents.
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What it can do
What data it sees
Do you need an account
An API key from the service settings is required
MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
Server tool list (13)
Raw names from tools/list. Only developers need these.
| 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. |