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archestra

MCP Server

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

Copy the install, test the workflow, then decide if it earns a permanent slot.

3,609
Why nowMoving now

Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.

DecisionHigh-conviction move

Copy the install, test the workflow, then decide if it earns a permanent slot.

Trial costMedium lift

Testable in one sitting, but you will likely touch real infra or local setup before you know if it sticks.

Risk42/100

GitHub health 50/100. no security policy. 91 open issues make this testable, but not something to trust blind.

What You Are Adopting

AI Agent

Universal

Model

Claude

Build Time

Minutes

Test This In Your Stack

One command inClean rollbackLow commitment
settingsRegistryAdds a named entry to Claude config. One command to remove.

Fastest way to find out if archestra belongs in your setup.

Copy the install command, run a real test, and back it out cleanly if it slows you down.

Try now
claude mcp add archestra -- npx archestra

Run this first. You will know quickly if the workflow earns a permanent slot.

Back out
claude mcp remove archestra

No messy cleanup loop. If it misses, remove it and keep moving.

Install Location

~/  └─ .claude.json    └─ mcp_servers/      └─ archestra ← registers here

About

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

README

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.

License GitHub commit activity Github Last Commit Contributors

Getting Started - Releases - Slack Community

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 →

👩‍💻 ChatGPT-like chat with MCPs

🎁 with private company-wide prompt registry!

ChatGPT-like chat

📋 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 →

MCP Registry

☁️ Kubernetes-native MCP orchestrator

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

Learn more about MCP Orchestrator →

MCP Orchestrator

🤖 Security sub-agents

Isolating dangerous tool responses from the main agent to prevent prompt injections.

Learn more about Dual LLM →

Dual-LLM sub-agent

🚫 Non-probabalistic security to prevent data exfiltration

Models could consume prompt injections via MCP uncontrollably (read your inbox, read your GitHub issues, read your customer's inquiries) and follow them resulting in data exfiltration.

Learn more about Dynamic Tools → | The Lethal Trifecta →

Live demo of archestra security engine preventing data leak from the private GitHub repo to the public repo: Archestra Demo

Read more: Simon Willison, The Economist

Examples of hacks: ChatGPT (April 2023), ChatGPT Plugins (May 2023), Google Bard (November 2023), Writer.com (December 2023), Amazon Q (January 2024), Google NotebookLM (April 2024), GitHub Copilot Chat (June 2024), Google AI Studio (August 2024), Microsoft Copilot (August 2024), Slack (August 2024), Mistral Le Chat (October 2024), xAI's Grok (December 2024), Anthropic's Claude iOS app (December 2024), ChatGPT Operator (February 2025), Notion 3.0 (September 2024).

💰 Cost monitoring, limits and dynamic optimization

Per-team, per-agent or per-org cost monitoring and limitations. Dynamic optimizer allows to reduce cost up to 96% by simply switching to cheaper models automatically for simpler tasks.

Learn more about Costs & Limits →

Cost & Limits

📊 Observability

Metrics, traces and logs allowing to come to a conclusion about per-org, per-agent and per-team token and tool usage, and performance.

Learn more about Observability →

Observability

👍 Ready for production

  1. ✅ Lightning fast, 45ms at 95p: Performance & Latency benchmarks →
  2. ✅ Terraform provider →
  3. ✅ Helm Chart →

🤝 Contributing

We welcome contributions from the community!

  • Contribution Guidelines →
  • Developer Quickstart →
  • Security & Bug Bounty →

Thank you for contributing and continuously making Archestra better, you're awesome 🫶


Linux Foundation        CNCF

Tech Stack

GPTLLMGoPostgreSQLClaudeAnthropicDockerKubernetesTerraform

Installation

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;

Open Live ProjectAudit Repo

Reviews0

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ActiveLast commit today
bug_report91open issues
Submitted April 29, 2026

auto_awesomeYour strongest next moves after archestra