Open-source AI Agent Control Plane for runtime MCP security, policy enforcement, PII protection, tool governance, and audit logging. Runtime control plane for AI agents. Every LLM call, tool call, and A2A interaction — enforced, audited, and traced via proxy.
Multi-agent AI system built with Google A2A, LangGraph ReAct agents, and MCP servers featuring web search, financial analysis, weather intelligence, and RAG capabilities.
SEO for Agents — Score any AI agent endpoint on trust & capability metrics. 5 categories, 100 points, MCP protocol handshake, GitHub intelligence, fix-it guidance.
Deterministic UI engine for tests and agents — stable locators and self-healing without ML in core; optional LLM enhancements and MCP tools when you need them.
A new unified Google Apps Script now deploys both Model Context Protocol (MCP) and Agent2Agent (A2A) networks as a single server, streamlining AI model integration for Google Workspace users.