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Synapse Layer — Trust Infrastructure for AI Agents MCP server

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by SynapseLayer·io.github.SynapseLayer/synapse-layer·v2.4.6·13 stars
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MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.

A85/100grade A
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Safety scan
A85/100

full report

Adoption
Growing

13 stars

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Synapse Layer — Trust Infrastructure for AI Agents tools (13, 2 write)

write = sends, deletes, buys or posts
  • health_checkFree

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

  • initialize_contextFree

    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_memoriesFree

    List memory metadata with pagination and governance limits.

  • memory_feedbackwrite actionFree

    Submit feedback to adjust trust scoring for stored memories.

  • neural_handoverwrite actionFree

    Transfer contextual state between agents with continuity controls.

  • process_textFree

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

  • recallFree

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

  • recall_memoryFree

    Recall persisted memory by query. Alias of recall.

  • save_memoryFree

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

  • save_to_synapseFree

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

  • searchFree

    Search persisted memory across agent scopes using full-text matching. Governance: requires reason (10–200 chars) because results contain plaintext content.

  • slo_reportFree

    Return uptime and SLO metrics for the MCP service.

  • store_memoryFree

    Store structured memory with metadata and trust scoring.

Public scan report

scanner v0.1.10 · 2026-10-03 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 624ms20/20
  • Tool poisoning13 tool descriptions checked15/15
  • Auth qualityAPI key sent as a header8/15
  • Maintenancelast push 15 days ago15/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Synapse Layer — Trust Infrastructure for AI Agents compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 70% of 48,255 servers
Tools
13
the typical server has 7
Tools that change things
15%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
460 ms
faster than 32% of 30,031 servers
GitHub stars
13
more than 89% of 28,688 servers

What its tools let an agent do: 9 read · 2 create · 2 change

Install Synapse Layer — Trust Infrastructure for AI Agents in Claude Code, Cursor or VS Code

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

What the publisher says

From the Synapse Layer — Trust Infrastructure for AI Agents repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.SynapseLayer/synapse-layer -->

🧠 Synapse Layer

RAG retrieves. Synapse remembers.

Persistent memory infrastructure for AI agents — AES-256-GCM encrypted at rest, semantic search, MCP-native.

Synapse Layer is open-source persistent memory infrastructure for AI agents and assistants. Memories are encrypted at rest with AES-256-GCM, indexed via pgvector HNSW for semantic recall, and exposed through MCP JSON-RPC for native integration with Claude, GPT, Gemini, and any MCP-compatible client. Apache 2.0 licensed.

Website · Docs · PyPI · Forge

⚡ 30-Second Quickstart

Get your Connect Token at forge.synapselayer.org → Connect, then install into any MCP client:

curl -fsSL https://forge.synapselayer.org/install/smithery | bash

On the Forge dashboard the Smithery card already copies the command with your token embedded (… | bash -s -- skconnect…) — a single paste in your terminal is enough.

Or use the Python SDK:

from synapse_layer import Synapse

s = Synapse(token="sk_connect_YOUR_TOKEN")

s.store("user likes coffee")
print(s.recall("what does user like?"))

Get your token at forge.synapselayer.org → Dashboard → Connect

What is Synapse Layer?

The persistent memory layer for AI agents — the missing piece between stateless LLMs and real continuity of context.

Your AI agents forget everything between sessions. Synapse Layer fixes that.

Why Synapse Layer?

Your AI agents forget everything between sessions. Synapse Layer fixes that — in one line.

Use Cases

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Synapse Layer — Trust Infrastructure for AI Agents: common questions

Is Synapse Layer — Trust Infrastructure for AI Agents MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Synapse Layer — Trust Infrastructure for AI Agents safety report
How do I install Synapse Layer — Trust Infrastructure for AI Agents?
It runs remotely at forge.synapselayer.org. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Synapse Layer — Trust Infrastructure for AI Agents need an API key?
Yes. The registry entry asks for x-connect-token.
Is Synapse Layer — Trust Infrastructure for AI Agents maintained?
The last commit was 47 days ago (2026-09-18). The latest release is v2.4.6.
Is Synapse Layer — Trust Infrastructure for AI Agents up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Synapse Layer — Trust Infrastructure for AI Agents?
Servers from other publishers that do the same job: State Memory MCP server and Knowl MCP server.
How does Synapse Layer — Trust Infrastructure for AI Agents compare with other MCP servers?
safety score 85/100 (higher than 70% of 48,255 servers); tools 13 (the typical server has 7); tools that change things 15% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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