archestra-ai/archestra

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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<img alt="GitHub commit activity" src="https://img.shields.io/github/commit-activity/m/archestra-ai/archestra"/> <img alt="GitHub Last Commit" src="https://img.shields.io/github/last-commit/archestra-ai/archestra"/>

<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://archestra.ai/join-slack">Slack Community</a> </p> </div>

For Platform teams:

• Mitigate MCP chaos, move MCP servers from individual machines to a centralized orchestrator
• Manage how MCPs access data and use credentials
• 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 127.0.0.1:9000:9000 -p 127.0.0.1:3000:3000 \
  -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 →

🧳 Migrating an existing AI pilot

Already have a Claude Code-style project, MCP config, local tools, hooks, or another hand-rolled agen