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

Q: How do I link Modal (Serverless AI Infrastructure) to Claude Code?

Run the claude mcp add command with the appropriate transport flags. It registers the server for use in your terminal sessions.

Q: Can I use Claude Code to list Modal (Serverless AI Infrastructure) secrets?

Yes, listsecrets is available for terminal-based verification. It helps you keep your configuration synced with your code.

Q: How do I check my storage with Claude Code?

Simply run listvolumes to see all attached disks. It outputs the data directly to your terminal window.

Q: Is it safe to run this on production infrastructure?

The server uses read-only tools for audits. Only stopapp modifies your state, and you must explicitly trigger that command.

Run Modal (Serverless AI Infrastructure) management tasks directly from your terminal using Claude Code.

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Connect Modal (Serverless AI Infrastructure) MCP to Claude Code

Create your Vinkius account to connect Modal (Serverless AI Infrastructure) to Claude Code 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 Claude Code

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List apps via Claude Code

Use `list_apps` in your terminal to get a raw dump of active serverless jobs. It is built for SREs who need to know what is running without a GUI. You can pipe the output into other scripts for automated monitoring. It keeps your infrastructure visibility strictly in the command line.

Manage deployments with Claude Code

Execute `list_deployments` to view your production state. It is the fastest way to confirm that your latest code is actually live on the infrastructure. Use `get_deployment` for granular inspection when you need to debug a specific instance. Everything happens in your shell.

Script your infrastructure cleanup

Integrate `stop_app` into your CI/CD pipelines to kill ephemeral jobs once your tests finish. It prevents your account from racking up unexpected GPU costs. You have full control over the lifecycle of your apps. Just define the trigger and let the tool handle the termination.

Setup guide

Set up Modal (Serverless AI Infrastructure) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see modal-serverless-ai-infrastructure-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Modal (Serverless AI Infrastructure) transactions." It will automatically discover and invoke the available Modal (Serverless AI Infrastructure) tools.

Terminal

claude mcp add --transport http modal-serverless-ai-infrastructure-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "modal-serverless-ai-infrastructure-mcp": {
      "type": "url",
      "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 Claude Code

Run the `claude mcp add` command with the appropriate transport flags. It registers the server for use in your terminal sessions.

Yes, `list_secrets` is available for terminal-based verification. It helps you keep your configuration synced with your code.

Your infrastructure details stay within your local session. The tool only reads the metadata necessary to report app and volume status.

Simply run `list_volumes` to see all attached disks. It outputs the data directly to your terminal window.

The server uses read-only tools for audits. Only `stop_app` modifies your state, and you must explicitly trigger that command.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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