Archestra AI
Kubernetes-native platform for running AI agents and MCP servers
Archestra is an open-source, enterprise-grade platform that lets non-technical users run AI agents and MCP servers safely. It provides deterministic guardrails against prompt-injection risks, a private MCP registry with governance, Kubernetes-native orchestration, cost monitoring, and OpenTelemetry observability.
Company
Archestra AI is an early-stage startup building open-source governance and security tooling for MCP (Model Context Protocol) deployments. It focuses on the enterprise problem of running many MCP servers across internal teams with policy, audit, and access controls.
Product — Archestra
Archestra (github.com/archestra-ai/archestra, Apache 2.0) provides a governance layer in front of MCP servers: RBAC over tools, usage auditing, per-user credential isolation, token budgets, and a policy engine that can allow or deny specific tool calls. It positions itself as the control plane for internal MCP ecosystems, complementing (not replacing) gateways like MCPJungle or Lasso.
Scope and maturity
The project is relatively young (early 2025) and actively developed. It's intended for companies that have rolled out multiple MCP servers internally and need central governance rather than ad-hoc access rules per server.
Positioning
Archestra competes with MCPJungle and Lasso Gateway on MCP governance, and sits adjacent to broader AI governance platforms. Its differentiator is focusing narrowly on MCP rather than trying to be a general LLM gateway.
Tools from Archestra AI
