Modal (Serverless AI Infrastructure) MCP, Ready to Go
Use Claude or Cursor with the Modal MCP to manage on-demand GPU deployments, audit secrets, and monitor compute resources via your AI agent.
No credit card required. Experience the power of this integration risk-free.
Manage on-demand GPU deployments and high-performance compute resources.
Works with every AI agent you already use
…and any MCP-compatible client
How fast is the Modal (Serverless AI Infrastructure) MCP Server?
Average time for the server to become ready for requests over the last 13 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.
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What AI agents can do with Modal MCP with 7 Tools for On-Demand GPU Management
Manage your Modal compute, deployments, and secrets through your AI agent.
List apps
See all your active and historical Modal app contexts in one list. This helps you keep track of what is currently running.
Get app
Pull the specific static details for a single Modal App ID. Use this to deep-dive into a specific app's state.
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.
One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.
You're looking at one of 5,700+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.
No Shadow AI
Every agent action is visible, approved, and auditable. Nothing runs outside your governance.
Absolute agent control
Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.
Cost control per token
Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.
Managed & monitored infra
We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.
Data protection, DLP by design
Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.
Token optimization, real savings
Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.
Modal MCP for On-Demand GPU Infrastructure Management
AI Engineers and DevOps specialists who are tired of manual CLI polling and want to manage GPU clusters and on-demand functions through a chat interface.
AI Engineer
Checks if a training job is still running and gets the endpoint URL to test the model on a Tuesday afternoon.
Data Scientist
Verifies that the correct persistent volumes are mounted before starting a large dataset processing job.
DevOps Engineer
Audits environment variables and secrets to ensure production deployments are configured correctly.
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.
Your AI, connected to everything.
No credit card required · Free tier available
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