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Synapse Layer — Trust Infrastructure for AI Agents MCP Server

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Synapse Layer — Trust Infrastructure for AI Agents is answering right now. Last checked 11 min ago. It exposes 13 tools. Last commit 17 Sep 2026.

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

Uptime history 47 days of history · worst day 99%
47 days agonow
100.0%
Uptime 24h
91 of 91 checks
13
Tools
read from the server
675 ms
Response time
average over 24h
13
Stars
last commit 17 Sep 2026

What changed 19

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 14 August 2026. No other catalogue keeps this.

14 Sep a tool changed the parameters it asks for save_to_synapse
2 Sep 7 tools changed the parameters they ask for list_memories, recall, recall_memory and 4 more
18 Aug 3 tools changed the parameters they ask for6 times that day save_memory, save_to_synapse, store_memory
17 Aug a tool changed the parameters it asks for memory_feedback
14 Aug 2 tool descriptions were rewritten initialize_context, search
14 Aug 2 tools changed the parameters they ask for initialize_context, search
and 3 more, back to 14 August 2026

Nothing serious here today

Today is the operative word: we check Synapse Layer — Trust Infrastructure for AI Agents every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

run in your terminal
claude mcp add synapse-layer --transport http https://forge.synapselayer.org/api/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "synapse-layer": {
      "url": "https://forge.synapselayer.org/api/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.synapse-layer]
url = "https://forge.synapselayer.org/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "synapse-layer": {
      "url": "https://forge.synapselayer.org/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "synapse-layer": {
      "url": "https://forge.synapselayer.org/api/mcp"
    }
  }
}

Available tools 13

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

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

Endpoints

URLTransportStateLatencyChecked
https://forge.synapselayer.org/api/mcp streamable-http answering 676 ms 11 min ago

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Synapse Layer — Trust Infrastructure for AI Agents — questions

Answers built from our own checks of this server.

What can Synapse Layer — Trust Infrastructure for AI Agents do?
It exposes 13 tools, read directly from the server on our last check. Among them: health_check, initialize_context, list_memories, memory_feedback, neural_handover, process_text and 7 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Synapse Layer — Trust Infrastructure for AI Agents mostly used for?
Its tools cluster around recall and save. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Synapse Layer — Trust Infrastructure for AI Agents working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 675 ms. The bar chart above shows every period we have measured.
How do I connect Synapse Layer — Trust Infrastructure for AI Agents?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Synapse Layer — Trust Infrastructure for AI Agents need an API key?
No. Synapse Layer — Trust Infrastructure for AI Agents completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 13 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Synapse Layer — Trust Infrastructure for AI Agents?
It answers our handshake in 675 ms on average, which is faster than 18% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Synapse Layer — Trust Infrastructure for AI Agents open source?
Yes — it is published under the Apache-2.0 licence, written in Python, 13 stars on GitHub and 3 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.