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MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
About
MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
Remote endpoints: streamable-http: https://forge.synapselayer.org/api/mcp
Security Report
10.0
Low Risk10.0Low RiskValid MCP server (2 strong, 4 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry. Trust signals: trusted author (3/3 approved).
13 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Identifier for the agent using the memory layer.
Environment variable: SYNAPSE_AGENT_ID
Bearer token for API authentication (sk_live_*).Required
Environment variable: SYNAPSE_API_KEY
Logging verbosity: DEBUG, INFO, WARNING, ERROR.
Environment variable: LOG_LEVEL
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Getting Started
Once installed, try these example prompts and explore these capabilities:
- 1pip install synapse-layer
- 2Obter token: Forge → Dashboard → Connect (use header `x-connect-token: sk_connect_YOUR_TOKEN`)
- 3Curl health: curl -H "x-connect-token: sk_connect_YOUR_TOKEN" https://forge.synapselayer.org/api/health
- 4Python quickstart: from synapse_layer import SynapseA2AClient; async with SynapseA2AClient(api_key="sk_connect_YOUR_TOKEN") as c: await c.store_memory(user_id="agent-001", content="user likes coffee")
- 5Example: Persistir preferências de usuário e recuperar em nova sessão.
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Version History
v4.3.1May 6, 2026Re-scanned
v4.3.1 — May 2026 (Server / Forge) • Server version: 4.3.1 — deployed on forge.synapselayer.org (includes NCI_V3.1 FTS-first refactor, embedding-health probe, telemetry). • Python SDK on PyPI: synapse-layer v2.4.0 (released May 5, 2026) — client-side SDK for integration. • Repo(s): • Server & infra: https://github.com/SynapseLayer/synapse-layer (service infra and deployment) • Python SDK: https://github.com/SynapseLayer/synapse-sdk-python (client SDK published on PyPI) • Improvements: health endpoint performance, keep-alive & cold-start mitigation, backfill embeddings script, telemetry for withMemory. • Notes: If you install via pip, use synapse-layer v2.4.0; the running server API is v4.3.1 (Forge). Check docs at https://synapselayer.org/docs for compatibility notes.
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