How to Use the Modal (Serverless AI Infrastructure) MCP in Windsurf

Q: How do I connect Modal (Serverless AI Infrastructure) to Windsurf?

Add the server configuration to your mcpconfig.json file. Windsurf will pick up the tools once you hit the refresh button in the MCP panel.

Q: Can Windsurf handle Modal (Serverless AI Infrastructure) secret management?

Yes, you can use listsecrets to view your configuration references. It helps you verify which keys are active for your deployment.

Q: Does the Modal (Serverless AI Infrastructure) integration in Windsurf allow me to kill stuck tasks?

Use the stopapp tool to force stop any active execution. It is the fastest way to handle rogue processes during your development cycle.

Manage your Modal (Serverless AI Infrastructure) deployments directly inside Windsurf to keep your compute costs in check.

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Connect Modal (Serverless AI Infrastructure) MCP to Windsurf

Create your Vinkius account to connect Modal (Serverless AI Infrastructure) to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Modal (Serverless AI Infrastructure) with Windsurf

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Audit active Modal (Serverless AI Infrastructure) apps

Use `list_apps` to see exactly what is running on your account. You don't need to switch windows to check if your latest inference job is still burning credits. Windsurf pulls the status of every job in real-time. If something looks off, run `get_app` to inspect the specific configuration of that instance.

Track GPU deployments with Windsurf

Monitor your production model deployments by using `list_deployments`. It shows you exactly what is live and how it is mapped to your infrastructure. When you need more detail on a specific workload, `get_deployment` provides the technical breakdown. It keeps your workspace focused on the code that matters.

Manage network storage mounts

Keep tabs on your persistent data using `list_volumes`. It lists every network block volume attached to your serverless environment. Check these volumes to ensure your data is where it belongs. You can verify your setup without leaving your IDE session.

Setup guide

Set up Modal (Serverless AI Infrastructure) MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Modal (Serverless AI Infrastructure) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Modal (Serverless AI Infrastructure) payment history." If connected, Cascade will call the Modal (Serverless AI Infrastructure) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "modal-serverless-ai-infrastructure-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Modal (Serverless AI Infrastructure) MCP in Windsurf

Add the server configuration to your `mcp_config.json` file. Windsurf will pick up the tools once you hit the refresh button in the MCP panel.

Yes, you can use `list_secrets` to view your configuration references. It helps you verify which keys are active for your deployment.

Use the `stop_app` tool to force stop any active execution. It is the fastest way to handle rogue processes during your development cycle.

This server only interacts with your Modal metadata and infrastructure status. It does not touch your raw private model weights or sensitive user datasets.

Check the MCP panel in your sidebar. If the server is green, your tools are ready for Cascade to execute.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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