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

Q: Can Mastra AI manage Modal (Serverless AI Infrastructure) automatically?

You can set up workflows that use listapps and stopapp based on your own logic. It handles the state management for you.

Q: What happens if a volume is missing in Modal (Serverless AI Infrastructure)?

The listvolumes tool returns an empty list. Your agent can then branch to a logic block that handles the missing storage.

Build resilient infrastructure workflows for Mastra AI using direct access to your serverless environment.

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Connect Modal (Serverless AI Infrastructure) MCP to Mastra AI

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

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Automate infrastructure audit in Mastra AI

Trigger `list_apps` inside a Mastra workflow to audit your environment automatically. If you find an unexpected process, your agent can flag it for review. It replaces manual checks with a reliable, repeatable script. Your infrastructure stays compliant without you touching a terminal.

Trigger cleanup with Mastra AI

Use `stop_app` within a conditional step to kill runaway processes automatically. It's built for workflows that need to handle resource sprawl without human input. You define the logic, and the agent executes the cleanup. It's a clean way to manage costs by killing idle apps.

Correlate deployments in Mastra AI

Map your infrastructure by running `list_deployments` alongside `list_volumes` in a single step. You see exactly which deployments own which storage blocks. This eliminates the guesswork in your dependency mapping. Your agent keeps a clean record of your setup as it evolves.

Setup guide

Set up Modal (Serverless AI Infrastructure) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Modal (Serverless AI Infrastructure) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "modal-serverless-ai-infrastructure-mcp-client",
  servers: {
    "modal-serverless-ai-infrastructure-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Modal (Serverless AI Infrastructure) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Modal (Serverless AI Infrastructure) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Modal (Serverless AI Infrastructure) transactions"
);
console.log(result.text);

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Why Choose Vinkius

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Built-in savings

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

You can set up workflows that use `list_apps` and `stop_app` based on your own logic. It handles the state management for you.

Use the requireToolApproval setting in your client. This forces the agent to ask you before running destructive commands like `stop_app`.

The MCP server is compatible with Mastra's retry logic. If a network call fails, the framework handles the backoff for you.

The `list_volumes` tool returns an empty list. Your agent can then branch to a logic block that handles the missing storage.

The server only exposes read and control operations for your specific account. It touches only your deployment metadata and volume references.

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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