Key capabilities
| Capability | Description | Use case |
|---|---|---|
| Natural Language Infrastructure Management | Converts user instructions written in natural language to corresponding API operations. | - “Show me all active environments in my project.” - “Add Redis caching to my staging environment.” |
| CI/CD Integration | Integrates with existing development workflows and interacts with CI/CD pipelines to trigger or respond to automated workflows. | - Trigger deployments from the IDE. - Monitor build progress from documentation tools or chat interfaces. |
| AI-Based Automation | Supports AI-driven automation that adapts to real-world conditions by analyzing metrics, historical data, and usage patterns. | - Resource allocation based on usage trends. - Automated troubleshooting with suggested root causes. - Adaptive backup scheduling. |
Security Model
All MCP operations follow the existing Upsun security model. The MCP Server defaults to read-only operations for safety, with write operations available through explicit configuration. To enable write operations, include the following header in your MCP configuration:Architecture
The Upsun MCP Server uses Streamable HTTP transport for communication and event streaming. It uses HTTP POST for client-to-server messages with optional Server-Sent Events for streaming capabilities. This transport enables remote server communication and supports standard HTTP authentication methods including bearer tokens, API keys, and custom headers.
Installation
1. Generate an API Token
- In the Upsun Console, open your account settings.
- Generate a new API token with permissions appropriate for your projects.
2. Configure the MCP Client
- Configure your MCP client to connect to
mcp.upsun.com/mcp.
3. Connect and Use
- Connect your AI assistant or any MCP-compatible client.
- Begin managing Upsun resources using natural language commands.
Select your preferred client
The Upsun MCP server works with all major AI development environments.Choose your preferred client from the list below:Related content
Upsun AI tutorials
- Upsun AI and Machine Learning tutorials
- Experiment with Chainlit AI interface with RAG on Upsun
- Access Upsun Documentation contextually via Context7 + MCP
- Use the Upsun API to automate Agent deployment
- Upsun MCP Server Announcement
Upsun AI documentation
- Host AI Agents on Upsun
- Deploy AI on Upsun