MCP-native Secure AI Platform

Simplify AI usage in your company, providing user-friendly MCP toolbox, observability and control built on a strong security foundation.

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<p align="center"> <a href="https://www.archestra.ai/docs/platform-quickstart">Getting Started</a> - <a href="https://github.com/archestra-ai/archestra/releases">Releases</a> - <a href="https://join.slack.com/t/archestracommunity/shared_invite/zt-39yk4skox-zBF1NoJ9u4t59OU8XxQChg">Slack Community</a> </p> </div>

For Platform teams:

• Mitigate MCP chaos, move MCP servers from individual machines to a centralized orchestrator
• Manage how MCP access data and credentials usage
• Mitigate data exfiltration risks
• Manage AI costs
• AI Observability

For Developers:

• Deploy your MCP servers org-wide
• Build and deploy agents without worrying about security

For Management:

• Bring 1-click MCP adoption to the whole organization for technical and non-technical users
• Reduce AI costs up to 96%
• Get full visibility on AI adoption, usage and data access

🚀 Quickstart with docker

docker pull archestra/platform:latest;
docker run -p 9000:9000 -p 3000:3000 \
  -e ARCHESTRA_QUICKSTART=true \
  -v /var/run/docker.sock:/var/run/docker.sock \
  -v archestra-postgres-data:/var/lib/postgresql/data \
  -v archestra-app-data:/app/data \
  archestra/platform;

Full Quickstart Guide →

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👩‍💻 ChatGPT-like chat with MCPs

🎁 with private company-wide prompt registry!

<div align="center"> <img src="docs/assets/chat.png" alt="ChatGPT-like chat" /> </div>

📋 Private MCP registry with governance

Add MCPs to your private registry to share them with your team: self-hosted and remote, self-built and third-party.

Learn more about Private MCP Registry →

<div align="center"> <img src="docs/assets/mcp-registry.png" alt="MCP Registry" /> </div>

☁️ Kubernetes-native MCP orchestrator

Run MCP servers in kubernetes, managing their state, API keys, OAuth.

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