# Modal MCP for AI Agents AI Agent Connect

> Modal MCP lets you manage your on-demand AI infrastructure directly through your AI client. You can audit active apps, track GPU deployments, and monitor network volumes in real-time. It gives you a hands-on way to control your compute resources, manage secrets, and handle app lifecycles without jumping back and forth between different dashboards or the CLI.

## Overview
- **Category:** superpower
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_yQfuiuyaifaMlCchZoeV6rYy4ok4PpgYEfzlMmar/ai-agent-connect
- **Tags:** serverless-compute, gpu-deployment, infrastructure-as-code, cloud-scaling, distributed-computing

## Description

Managing high-performance compute usually means juggling multiple tabs, constantly checking logs, and worrying about runaway costs from long-running GPU jobs. This Connector changes that by putting your entire Modal infrastructure under the control of your AI client. Instead of hunting for specific IDs or digging through complex dashboards to see what's actually running, you can just ask your agent to show you what's active or find a specific deployment endpoint. It handles the heavy lifting of infrastructure inspection, letting you manage secrets, check storage volumes, and stop executions immediately if things go off the rails. You get a direct line to your compute environment, making it way easier to keep your training jobs and inference endpoints organized. It's one of the many specialized connectors available in the Vinkius catalog that turns manual infrastructure oversight into a conversation. You can quickly verify environment variables, check persisted disk volumes, or grab the exact JSON metadata you need to understand your current state. It's about having the right data at the right time without the friction of manual polling.

## Tools

### list_apps
See all your active and historical Modal app contexts in one list. This helps you keep track of what is currently running.

### stop_app
Forcefully shut down a running Modal app execution to stop billing immediately. It is the fastest way to kill a stuck job.

### list_secrets
View the configuration references for your stored secret dictionary. This is useful for auditing your environment variables.

### list_volumes
See all your persisted disk network block volumes across your compute. This helps you manage your distributed storage.

### list_deployments
Find all the deployments that have been explicitly promoted on the platform. Use this to see your active serving endpoints.

### get_deployment
Fetch the detailed metadata and bound mapping for a specific deployment. It provides the exact web endpoint and config.

### get_app
Pull the specific static details for a single Modal App ID. Use this to deep-dive into a specific app's state.

## Prompt Examples

**Prompt:** 
```
Are there any Modal apps currently running?
```

**Response:** 
```
I've checked your active Modal apps. Here is what's currently running:

| App Name | Status | ID |
| :--- | :--- | :--- |
| **gpu-trainer-alpha** | Running | `ap-123` |
| **image-gen-service** | Initializing | `ap-456` |

Would you like me to get more details on either of these?
```

**Prompt:** 
```
Stop the app with ID ap-9982
```

**Response:** 
```
Executing stop command... 

**Success.** Modal app `ap-9982` has been forcefully terminated. The on-demand container has been spun down, and no further billing cycles will be triggered for this specific execution.
```

**Prompt:** 
```
What volumes do I have?
```

**Response:** 
```
I found 3 persistent disk volumes in your workspace:

* **model-cache-v1**: 50GB
* **training-datasets**: 200GB
* **user-data-store**: 10GB

I can provide the mount paths for any of these if you need them.
```

## Capabilities

### Stop runaway app executions
Forcefully shut down an active execution to stop billing and free up compute resources.

### List active and historical app contexts
Get a complete overview of your Modal apps and their current execution states.

### Retrieve specific deployment endpoints
Grab the web endpoints and serving configurations for your promoted deployments.

### Audit stored secret references
Verify which secrets are mapped to your functions to ensure proper configuration.

### Monitor persisted disk volumes
See all your disk network block volumes and data mount directories in one place.

### Inspect infrastructure metadata
Retrieve precise JSON metadata representing the current state of your apps or deployments.

### List promoted platform deployments
See all the deployments that have been explicitly promoted on the Modal platform.

## Use Cases

### Stopping a stuck training job
An engineer notices a GPU job is stuck. They ask their agent to use `stop_app` on the specific ID to stop the billing cycle immediately.

### Finding new inference endpoints
A dev needs to find the URL for a new inference endpoint. They ask the agent to list deployments and find the active one for them.

### Verifying storage mounts
A data scientist needs to know if their 200GB dataset volume is mounted. They ask the agent to list volumes to confirm.

### Security audit for production
A DevOps lead needs to check if the production environment has the right secrets. They ask the agent to list secret dictionary references.

## Benefits

- Stop runaway costs by using `stop_app` to kill active executions instantly without needing to find the right dashboard button.
- Get faster deployment info by using `list_deployments` and `get_deployment` to quickly grab URLs and configurations.
- Audit your security posture more easily with `list_secrets` to verify which secrets are mapped to your functions.
- Keep your storage organized by using `list_volumes` to see exactly which disk volumes are attached to your distributed compute.
- Reduce context switching by using `list_apps` and `get_app` to monitor your entire app lifecycle from your terminal.

## How It Works

The bottom line is you get instant, conversational control over your on-demand GPU infrastructure.

1. Connect your Modal account by providing your Token ID and Token Secret.
2. Open your AI client and ask about your running apps, deployments, or volumes.
3. Receive real-time data on your compute status or execute commands like stopping an app.

## Frequently Asked Questions

**How does the Modal MCP help with costs?**
It lets you instantly stop active executions using the `stop_app` tool. This ensures that if a job gets stuck or finishes early, you aren't billed for unnecessary compute time.

**Can I see my GPU deployment URLs with the Modal MCP?**
Yes. You can ask your agent to list your deployments or get details on a specific one, and it will pull the exact web endpoints and serving configurations for you.

**How do I check my secrets with the Modal MCP?**
You can ask your agent to list your secret dictionary references. It will show you what secrets are configured without you having to leave your chat interface.

**Can this stop a runaway training job?**
Absolutely. By using the `stop_app` tool, your agent can forcefully terminate a specific app execution by its ID to save on costs immediately.

**Does the Modal MCP show my disk volumes?**
Yes, it can list all your persisted disk network block volumes so you can verify which storage is attached to your distributed compute instances.

**How do I see my app history with the Modal MCP?**
You can ask your agent to list your apps. It will pull both active and historical app contexts, giving you a clear view of your previous and current executions.

**Can I stop a running Modal app through my agent to save costs?**
Yes. Use the `stop_app` tool with an active App ID. Your agent will dispatch a termination command to Modal, gracefully stopping the serverless container spin-up and preventing further billing for that specific execution.

**How do I check which web endpoints are active for my deployments?**
The `list_deployments` and `get_deployment` tools retrieve the Promoted image data. Your agent will expose the public URL endpoints and serving metadata associated with your long-running Modal deployments.

**Can my agent audit the secrets and persistent volumes in my workspace?**
Absolutely. Use the `list_secrets` and `list_volumes` tools to monitor your infrastructure assets. Your agent will report the names and references for your stored secrets and network block storage mounts attached to your compute instances.