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Today marks a significant milestone in our evolution from Platform.sh to Upsun. We’re launching the Upsun MCP Server, a new integration that transforms how you interact with your favorite cloud application platform through AI assistants.
Available now in beta at https://mcp.upsun.com/mcp, this represents our commitment to bringing real AI improvements directly to your development workflow. As a beta release, we’re actively seeking feedback to shape its evolution and its features. Feel free to bring up issues or PR on the upsun-mcp-server GitHub repository.

Infrastructure management where you already work

The Upsun MCP server eliminates context switching entirely. Through integration with AI assistants like Claude, you manage your entire Upsun infrastructure using natural language, right where you’re already working.
You: "Create a preview environment for my feature branch with PostgreSQL"
Claude: "I'll create that preview environment for you now..."
[Environment created with full production data clone in 2 minutes]
No terminal. No console. No documentation hunting. Your AI assistant becomes your infrastructure expert. MCP projects

Why MCP changes everything for infrastructure

Natural Language Infrastructure-as-Code

Traditional infrastructure management requires memorizing commands and syntax. With MCP, you describe what you want:
  • “Show me all active environments in my e-commerce project”
  • “Create a backup before I deploy this breaking change”
  • “Add Redis caching to my staging environment”
Your AI assistant translates intent into action, handling the complexity behind the scenes.

Seamless CI/CD integration

MCP servers aren’t isolated tools, they integrate directly into your existing workflows. Trigger deployments from your IDE. Monitor builds from your documentation. Manage resources from anywhere you interact with AI. This integration extends to your CI/CD pipelines.

Automation that thinks

Traditional automation follows rigid rules. AI-powered automation adapts. Need to scale resources based on complex patterns? Your AI assistant analyzes metrics, understands context, and makes intelligent decisions. Example scenarios MCP enables:
  • Intelligent resource allocation based on usage patterns
  • Automated troubleshooting with root cause analysis
  • Smart backup strategies that adapt to your workflow
  • Predictive scaling before traffic spikes

What you can do today

Every operation respects Upsun’s security model. The beta defaults to read-only operations for safety, with write operations available through explicit configuration.To enable write operations, add the "enable-write": "true" header to your MCP configuration. Only enable this if you understand the implications and trust your AI assistant with infrastructure modifications.
The Upsun MCP Server exposes our API through task oriented tools like the CLI does:

Project & Environment Management

  • Create and configure projects
  • Manage environments and deployments
  • Handle branching and merging strategies
  • Monitor activities and logs

Infrastructure Operations

  • Configure services and databases
  • Manage domains and SSL certificates
  • Create and restore backups
  • Set up routing and caching

Security & Access

  • Manage SSH keys
  • Configure access controls
  • Handle certificates

Part of our broader AI vision

The MCP server launch represents our broader commitment to AI-enhanced development. This is the first of many AI innovations coming to Upsun. We’re not adding AI as a gimmick. We’re solving real problems that cost you time and money. Every AI feature we ship must pass one test: Does it make developers’ lives genuinely better?

Upsun MCP Architecture

In order to ensure the best level of service and maintenance, Upsun has deployed its MCP with Streamable HTTP transport. 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 instructions

Set up the Upsun MCP Server in under a minute:
  1. Get your API token from the Upsun Console. Navigate to your account settings and generate a new API token with appropriate permissions for your projects.
  2. Configure your MCP client to connect to https://mcp.upsun.com/mcp
  3. Start managing infrastructure through natural language
The Upsun MCP server works with all major AI development environments. Choose your preferred client below:
Go to: Settings -> Cursor Settings -> MCP -> Add new global MCP serverPasting the following configuration into your Cursor ~/.cursor/mcp.json file is the recommended approach. You may also install in a specific project by creating .cursor/mcp.json in your project folder. See Cursor MCP docs for more info.

Cursor Remote Server Connection

{
  "mcpServers": {
    "upsun": {
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
Run this command. See Claude Code MCP docs for more info.

Claude Code Remote Server Connection

claude mcp add --transport http upsun https://mcp.upsun.com/mcp --header "upsun-api-token: YOUR_API_TOKEN" --header "enable-write: false"
Add this to your Windsurf MCP config file. See Windsurf MCP docs for more info.

Windsurf Remote Server Connection

{
  "mcpServers": {
    "upsun": {
      "serverUrl": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
Add this to your VS Code MCP config file. See VS Code MCP docs for more info.

VS Code Remote Server Connection

"mcp": {
  "servers": {
    "upsun": {
      "type": "http",
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
You can easily configure the Upsun MCP server through Cline:
  1. Open Cline.
  2. Click the hamburger menu icon (☰) to enter the MCP Servers section.
  3. Choose Remote Servers tab.
  4. Click the Edit Configuration button.
  5. Add upsun to mcpServers:
{
  "mcpServers": {
    "upsun": {
      "url": "https://mcp.upsun.com/mcp",
      "type": "streamableHttp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
Add this to your Zed settings.json. See Zed Context Server docs for more info.
{
  "context_servers": {
    "Upsun": {
      "settings": {
        "url": "https://mcp.upsun.com/mcp",
        "headers": {
          "upsun-api-token": "YOUR_API_TOKEN",
          "enable-write": "false"
        }
      }
    }
  }
}
To configure the Upsun MCP server in Augment Code:

Manual Configuration

  1. Press Cmd/Ctrl Shift P or go to the hamburger menu in the Augment panel
  2. Select Edit Settings
  3. Under Advanced, click Edit in settings.json
  4. Add the server configuration to the mcpServers array in the augment.advanced object
"augment.advanced": {
  "mcpServers": [
    {
      "name": "upsun",
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  ]
}
Once the MCP server is added, restart your editor. If you receive any errors, check the syntax to make sure closing brackets or commas are not missing.
Add this to your Roo Code MCP configuration file. See Roo Code MCP docs for more info.

Roo Code Remote Server Connection

{
  "mcpServers": {
    "upsun": {
      "type": "streamable-http",
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
See Gemini CLI Configuration for details.
  1. Open the Gemini CLI settings file. The location is ~/.gemini/settings.json (where ~ is your home directory).
  2. Add the following to the mcpServers object in your settings.json file:
{
  "mcpServers": {
    "upsun": {
      "httpUrl": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false",
        "Accept": "application/json, text/event-stream"
      }
    }
  }
}
If the mcpServers object does not exist, create it.

Remote Server Connection

Open Claude Desktop and navigate to Settings > Connectors > Add Custom Connector. Enter the name as Upsun and the remote MCP server URL as https://mcp.upsun.com/mcp.Add your API token in the headers configuration:
{
  "upsun-api-token": "YOUR_API_TOKEN",
  "enable-write": "false"
}
Add this to your Opencode configuration file. See Opencode MCP docs for more info.

Opencode Remote Server Connection

"mcp": {
  "upsun": {
    "type": "remote",
    "url": "https://mcp.upsun.com/mcp",
    "headers": {
      "upsun-api-token": "YOUR_API_TOKEN",
      "enable-write": "false"
    },
    "enabled": true
  }
}
See JetBrains AI Assistant Documentation for more details.
  1. In JetBrains IDEs, go to Settings -> Tools -> AI Assistant -> Model Context Protocol (MCP)
  2. Click + Add.
  3. Click on Command in the top-left corner of the dialog and select the As JSON option from the list
  4. Add this configuration and click OK
{
  "mcpServers": {
    "upsun": {
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
  1. Click Apply to save changes.
  2. The same way upsun could be added for JetBrains Junie in Settings -> Tools -> Junie -> MCP Settings
See Kiro Model Context Protocol Documentation for details.
  1. Navigate Kiro > MCP Servers
  2. Add a new MCP server by clicking the + Add button.
  3. Paste the configuration given below:
{
  "mcpServers": {
    "Upsun": {
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}
  1. Click Save to apply the changes.
Use the Add manually feature and fill in the JSON configuration information for that MCP server. For more details, visit the Trae documentation.

Trae Remote Server Connection

{
  "mcpServers": {
    "upsun": {
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
Add this to your Amazon Q Developer CLI configuration file. See Amazon Q Developer CLI docs for more details.
{
  "mcpServers": {
    "upsun": {
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
See Warp Model Context Protocol Documentation for details.
  1. Navigate Settings > AI > Manage MCP servers.
  2. Add a new MCP server by clicking the + Add button.
  3. Paste the configuration given below:
{
  "Upsun": {
    "url": "https://mcp.upsun.com/mcp",
    "headers": {
      "upsun-api-token": "YOUR_API_TOKEN",
      "enable-write": "false"
    },
    "start_on_launch": true
  }
}
  1. Click Save to apply the changes.
Using Upsun MCP with Copilot Coding AgentAdd the following configuration to the mcp section of your Copilot Coding Agent configuration file Repository->Settings->Copilot->Coding agent->MCP configuration:
{
  "mcpServers": {
    "upsun": {
      "type": "http",
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
For more information, see the official GitHub documentation.
See LM Studio MCP Support for more information.

Manual set-up:

  1. Navigate to Program (right side) > Install > Edit mcp.json.
  2. Paste the configuration given below:
{
  "mcpServers": {
    "Upsun": {
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
  1. Click Save to apply the changes.
  2. Toggle the MCP server on/off from the right hand side, under Program, or by clicking the plug icon at the bottom of the chat box.
You can configure the Upsun MCP server in Visual Studio 2022 by following the Visual Studio MCP Servers documentation.Add this to your Visual Studio MCP config file (see the Visual Studio docs for details):
{
  "inputs": [],
  "servers": {
    "upsun": {
      "type": "http",
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
For more information and troubleshooting, refer to the Visual Studio MCP Servers documentation.
Add this to your Crush configuration file. See Crush MCP docs for more info.

Crush Remote Server Connection (HTTP)

{
  "$schema": "https://charm.land/crush.json",
  "mcp": {
    "upsun": {
      "type": "http",
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
Open the “Settings” page of the app, navigate to “Plugins,” and configure the Upsun MCP server:
{
  "mcpServers": {
    "upsun": {
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
More information is available on BoltAI’s Documentation site. For BoltAI on iOS, see this guide.
Edit your Rovo Dev CLI MCP config by running the command below -
acli rovodev mcp
Example config -

Remote Server Connection

{
  "mcpServers": {
    "upsun": {
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
To configure the Upsun MCP server in Zencoder, follow these steps:
  1. Go to the Zencoder menu (…)
  2. From the dropdown menu, select Agent tools
  3. Click on the Add custom MCP
  4. Add the name and server configuration from below, and make sure to hit the Install button
{
  "url": "https://mcp.upsun.com/mcp",
  "headers": {
    "upsun-api-token": "YOUR_API_TOKEN",
    "enable-write": "false"
  }
}
Once the MCP server is added, you can easily continue using it.
See Qodo Gen docs for more details.
  1. Open Qodo Gen chat panel in VSCode or IntelliJ.
  2. Click Connect more tools.
  3. Click + Add new MCP.
  4. Add the following configuration:

Qodo Gen Remote Server Connection

{
  "mcpServers": {
    "upsun": {
      "url": "https://mcp.upsun.com/mcp",
      "headers": {
        "upsun-api-token": "YOUR_API_TOKEN",
        "enable-write": "false"
      }
    }
  }
}
See Local and Remote MCPs for Perplexity for more information.
  1. Navigate Perplexity > Settings
  2. Select Connectors.
  3. Click Add Connector.
  4. Select Advanced.
  5. Enter Server Name: Upsun
  6. Paste the following JSON in the text area:
{
  "url": "https://mcp.upsun.com/mcp",
  "headers": {
    "upsun-api-token": "YOUR_API_TOKEN",
    "enable-write": "false"
  }
}
  1. Click Save.
Last modified on May 21, 2026