Archestra
Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator
安装配置
暂未识别到可直接复制的 MCP 配置，请查看 GitHub README。后台管理员可以补充配置。
README 摘要
# 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) [](https://github.com/archestra-ai/archestra/graphs/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 →](https://archestra.ai/docs/platform-quickstart) ## 👩💻 ChatGPT-like chat with MCPs 🎁 with private company-wide prompt registry! ## 📋 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 →](https://archestra.ai/docs/platform-private-registry) ## ☁️ Kubernetes-native MCP orchestrator Run MCP servers in kubernetes, managing their state, API keys, OAuth. [Learn more about MCP Orchestrator →](https://archestra.ai/docs/platform-orchestrator) ## 📚 RAG Knowledge Base Built-in retrieval-augmented Knowledge Base — no external vector database or separate retrieval service required. [Learn more about Knowledge Base →](https://archestra.ai/docs/platform-knowledge-bases) ## 🤖 Security sub-agents Isolating dangerous tool responses from the main agent to prevent prompt injections. [Learn more about Dual LLM →](https://archestra.ai/docs/platform-dual-llm) ## 🚫 Non-probabilistic 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 Tool Guardrails →](https://archestra.ai/docs/platform-ai-tool-guardrails) | [The Lethal Trifecta →](https://archestra.ai/docs/platform-lethal-trifecta) Live demo of archestra security engine preventing data leak from the private GitHub repo to the public repo: [](https://www.youtube.com/watch?v=SkmluS-xzmM&t=2155s) Read more: [Simon Willison](https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/), [The Economist](https://www.economist.com/leaders/2025/09/25/how-to-stop-ais-lethal-trifecta) Examples of hacks: [ChatGPT](https://simonwillison.net/2023/Apr/14/new-prompt-injection-attack-on-chatgpt-web-version-markdown-imag/) (April 2023), [ChatGPT Plugins](https://simonwillison.net/2023/May/19/chatgpt-prompt-injection/) (May 2023), [Google Bard](https://simonwillison.n...
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