Integrate Modal (Serverless AI Infrastructure) with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet app on Modal (Serverless AI Infrastructure)
Get static specifics of an exact Modal App ID
Get deployment on Modal (Serverless AI Infrastructure)
Get an explicitly tracked deployment detail mapped bound
List apps on Modal (Serverless AI Infrastructure)
List isolated active/historical Modal Apps contexts
List deployments on Modal (Serverless AI Infrastructure)
List strictly managed Modal platform explicitly promoted deployments
List secrets on Modal (Serverless AI Infrastructure)
List static secret dictionary configuration references
List volumes on Modal (Serverless AI Infrastructure)
List Modal persisted disk network block volumes
Stop app on Modal (Serverless AI Infrastructure)
Force stop an actively running explicit Modal App execution
Security & Code Integrity Audit
Every tool in the Modal (Serverless AI Infrastructure) MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
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.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Automated Workflows using Modal (Serverless AI Infrastructure)
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
Autonomous serverless compute via AI
The Modal (Serverless AI Infrastructure) server supports direct MCP connections for serverless compute. This provides Claude with the required permissions to execute superpower functions.
Automating gpu deployment with AI
Connect your AI agent to Modal (Serverless AI Infrastructure) for comprehensive gpu deployment coverage. The integration features standard schemas for reliable superpower tool execution.
Modal (Serverless AI Infrastructure). Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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