Synapse Layer — Trust Infrastructure for AI Agents
Verified · 42 days agoMCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
Decision intelligence MCP — 17 tools (optimize, simulate, predict, score, graph). Sub-25ms.
Lens design automation for Zemax OpticStudio through the typed ZOS-API
Privacy-first, unofficial WHOOP MCP server for AI health, sleep, recovery, and performance agents.
Model Context Protocol (MCP) server for DeployHQ API integration
Windows screenshots, OCR, and redacted screen recording for AI agents. No desktop app needed.
Official DSers MCP for dropshipping: import, edit, price, and publish products to Shopify and Wix.
Content-addressed semantics: fail-closed handshakes over 617 cognitive patterns.
MCP server giving a coding agent a build→see→interact→debug loop over native GUI apps.
Connected tables, relations, workflows and markdown documents in one SQLite file, over MCP.
本地 Markdown 到 Word 文档转换工具,支持最新 MCP 协议特性、完整的页眉页脚页码功能、增强的表格功能、数据导入和数学公式支持,修复本地相对路径图片嵌入问题
Browser automation MCP server with 84 tools. Pure CDP, DOM diffing, vision hybrid.
Structured, verifiable Unreal Engine editing for AI agents.
Compact agent context verbatim, offline: cut spent tool outputs, recall them by hash.
SSH & Kubernetes access broker for AI agents; the model never touches a credential.
Local DevDocs MCP Server (Developer Docs with project specific context awareness)
Offline, headless pixel-art editor: draw, animate, inspect, and export sprites and fonts.
Brazilian legal stack in one MCP: lawsuits, court publications, case law, tenders, certificates.
Let AI agents build Blender scenes with four compact tools: discover, execute, inspect, capture.
Checks whether your streaming redactor leaks a secret split across chunks; writes a pytest for it.