Integrate Deno Deploy with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate app on Deno Deploy
Create a new Deno Deploy application
Create deployment on Deno Deploy
Create a new deployment (revision) for an app
Create layer on Deno Deploy
Create a new layer for sharing environment variables
Create project deployment on Deno Deploy
Create a deployment for a project (v1 API)
Get app on Deno Deploy
Get details for a specific Deno Deploy app
Get app logs on Deno Deploy
Query application logs
Get build logs on Deno Deploy
Stream build logs for a revision
Get organization on Deno Deploy
Get organization details (v1 API)
Get revision on Deno Deploy
Get status of a specific revision
Get revision progress on Deno Deploy
Stream revision progress (SSE)
List apps on Deno Deploy
Supports pagination and label filtering. List Deno Deploy applications
List domains on Deno Deploy
List custom domains for an organization (v1 API)
List projects on Deno Deploy
List projects in an organization (v1 API)
List revisions on Deno Deploy
List revisions for an app
Update layer on Deno Deploy
Update an existing layer
Security & Code Integrity Audit
Every tool in the Deno Deploy 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.
Is it possible to view runtime errors for my application?
Yes. Use the get_app_logs tool. You can filter by level (e.g., 'error') and set a query string to find specific issues within your application logs.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
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.
What can AI Agents do with Deno Deploy?
The Deno Deploy integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
Managing deno inside Claude
The Deno Deploy integration exposes LLM-friendly schemas for deno. Tools like Cursor can map natural language directly into executable ship it commands.
AI Semantic Routing for serverless
Connect your AI agent to Deno Deploy for comprehensive serverless coverage. The integration features standard schemas for reliable ship it tool execution.
Deno Deploy. 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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