Summary Archestra provides an enterprise-ready MCP (likely Model/Agent Control Platform) gateway, registry, and orchestrator designed for managing AI models and agents at scale. It targets teams and enterprises seeking a centralized, secure platform to deploy and control their AI infrastructure, offering robust guardrails and access controls.

How It Works The platform integrates an MCP Gateway and an LLM Gateway, complemented by a private MCP Registry and an MCP Orchestrator. Its core innovation lies in implementing guardrails to prevent "The Lethal Trifecta"—a critical security vulnerability arising from the combination of private data access, untrusted content exposure, and external communication capabilities. This vulnerability has been exploited in numerous high-profile AI services, including ChatGPT, Google Bard, and Microsoft Copilot. By mitigating this risk, Archestra aims to secure LLM interactions against sophisticated prompt injection attacks.

Quick Start & Requirements Begin with Docker: docker run -p 9000:9000 -p 3000:3000 archestra/platform Access the Web UI at http://localhost:3000. Official development and production deployment documentation links are provided.

Highlighted Details

• Centralized MCP Gateway and LLM Gateway.
• Robust guardrails to mitigate "The Lethal Trifecta" security vulnerability.
• Private MCP Registry for secure model/agent management.
• MCP Orchestrator for managing agent workflows.
• Role-Based Access Control (RBAC) for multi-team environments.
• Metrics exporter for monitoring.

Maintenance & Community Community support is available via a Slack channel. Contribution guidelines are provided, encouraging community involvement.

Licensing & Compatibility The project is licensed under the terms specified in the LICENSE file. Compatibility for commercial use or closed-source linking depends on the specific license terms.

Limitations & Caveats No specific limitations, alpha status, or known issues were detailed in the provided README snippet.