MCP server

Synapse Layer — Trust Infrastructure for AI Agents Official

io.github.SynapseLayer/synapse-layer

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.

Website Source

At a glance

Type

MCP server

Publisher

synapselayer.org (verified by the MCP Registry)

Status

Working at last check

Tools

13

Token cost

About 3,869 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http synapse-layer https://forge.synapselayer.org/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.synapse-layer]
url = "https://forge.synapselayer.org/api/mcp"

Gemini CLI

{"mcpServers":{"synapse-layer":{"httpUrl":"https://forge.synapselayer.org/api/mcp"}}}

Cursor

{"mcpServers":{"synapse-layer":{"url":"https://forge.synapselayer.org/api/mcp"}}}

VS Code

{"servers":{"synapse-layer":{"type":"http","url":"https://forge.synapselayer.org/api/mcp"}}}

Antigravity

agy mcp add synapse-layer https://forge.synapselayer.org/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"synapse-layer","server_url":"https://forge.synapselayer.org/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"synapse-layer","server_url":"https://forge.synapselayer.org/api/mcp"}

Tools

• health_check ~48 tokens
  Check service availability, engine version, and storage health. Public method.
• initialize_context ~240 tokens
  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.
• list_memories ~268 tokens
  List memory metadata with pagination and governance limits.
• memory_feedback ~241 tokens
  Submit feedback to adjust trust scoring for stored memories.
• neural_handover ~177 tokens
  Transfer contextual state between agents with continuity controls.
• process_text ~159 tokens
  Extract candidate memories from free-form text with governance filters and sanitization.
• recall ~512 tokens
  Retrieve relevant persisted memory using semantic, temporal, priority, or hybrid routing. Governance: requires reason (10–200 chars). Rate limit: 20/min.
• recall_memory ~409 tokens
  Recall persisted memory by query. Alias of recall.
• save_memory ~384 tokens
  Save a memory entry to the persistent store. Alias of save_to_synapse.
• save_to_synapse ~498 tokens
  Persist memory with encryption at rest, sanitization, and deduplication controls.
• search ~423 tokens
  Search persisted memory across agent scopes using full-text matching. Governance: requires reason (10–200 chars) because results contain plaintext content.
• slo_report ~122 tokens
  Return uptime and SLO metrics for the MCP service.
• store_memory ~388 tokens
  Store structured memory with metadata and trust scoring.

Browse

• GitHub tools
• Website monitoring
• Hiring and jobs
• GitHub and code hosting
• Memory for agents

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Badge for your README

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