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Archestra

Open-source enterprise MCP platform with security guardrails, compliance controls, and agent orchestration for AI agents

★ 3,960 GitHub AGPL-3.0 mcpmcp-servermcp-gatewayagent-orchestrationa2aai-agentskubernetesenterprise MCP Servers

Overview

Archestra is an open-source enterprise AI platform that provides a comprehensive MCP ecosystem for AI agents. It features a built-in MCP gateway with security guardrails, compliance controls, and a curated catalog of 900+ evaluated MCP servers. The platform includes an orchestrator for managing AI agents across multiple providers (OpenAI, Claude, Gemini, DeepSeek), supports the A2A (Agent-to-Agent) protocol, and offers a unified MCP registry. Built with TypeScript and designed for Kubernetes deployment, Archestra helps organizations deploy AI agents with enterprise-grade security, governance, and scalability.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  archestra:
    image: archestra/platform:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/archestra:/data

Best VPS for Archestra →

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Guides & articles

Getting Started with Archestra: Deploy MCP Gateway on Kubernetes

Step-by-step tutorial for deploying Archestra's open-source MCP gateway on Kubernetes with Helm. Docker test, K8s deployment, MCP server connection, and performance benchmarks included.

Jul 11, 2026

Archestra: Enterprise MCP Platform for AI Agents – Complete Guide

Discover Archestra — the open-source enterprise MCP platform with security guardrails, 900+ curated MCP servers, multi-provider agent orchestration, and A2A protocol support. Complete guide with deployment tips.

Jul 11, 2026