Deploy archestra
MCP-native AI platform with web UI and secure agent orchestration
Just deployed
Deploy and Host Archestra on Railway
About Hosting Archestra on Railway
Run Archestra as a single Railway service from the official upstream Docker image, with web access immediately available after deploy.
Tech Stack
- Archestra unified platform image (frontend + backend + embedded PostgreSQL)
- Next.js frontend
- Node.js backend API
- PostgreSQL (in-container)
Why Deploy Archestra on Railway
Railway gives one-click deployment, managed networking, and simple environment-variable based configuration while preserving Archestra's upstream runtime defaults.
Common Use Cases
- Internal AI assistant portal with MCP tooling
- Team AI gateway and model management
- Secure experimentation environment for agents and workflows
Deployment Notes
- Uses pinned image
archestra/platform:1.2.15. - Public HTTP entry is port
3000(UI). Backend API runs on9000inside the container. PORT=3000is set for Railway routing.ARCHESTRA_QUICKSTART=falseavoids Docker-socket quickstart mode.- Default admin credentials are exposed via env vars for first login.
- No persistent volume is mounted in this template.
Dependencies for Archestra on Railway
Single-service deployment with no external managed dependencies.
Deployment Dependencies
| Service | Image | Port | Volume |
|---|---|---|---|
| app | archestra/platform:1.2.15 | 3000 | - |
Template Content