Compatible with every major AI agent and IDE
Describe cloud disk on JD Cloud Infrastructure
Get detailed information about a specific cloud disk
Describe metric data on JD Cloud Infrastructure
Query monitoring metric data for a cloud resource
Describe vm instance on JD Cloud Infrastructure
Get detailed information about a specific VM instance
List cloud disks on JD Cloud Infrastructure
List all cloud disk volumes in your region
List elastic ips on JD Cloud Infrastructure
List all Elastic IP addresses in your region
List oss buckets on JD Cloud Infrastructure
List all Object Storage Service buckets
List rds instances on JD Cloud Infrastructure
List all RDS database instances in your region
List vm instances on JD Cloud Infrastructure
List all virtual machine instances in your JD Cloud region
Reboot vm instance on JD Cloud Infrastructure
Reboot a VM instance
Start vm instance on JD Cloud Infrastructure
Start a stopped VM instance
Stop vm instance on JD Cloud Infrastructure
Stop a running VM instance
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Is the JDCLOUD2-HMAC-SHA256 signing handled automatically?
Yes. The MCP engine locally derives signing keys through HMAC chains (date → region → service → jdcloud2_request), constructs canonical requests, and injects the Authorization header transparently. Your AI never handles raw crypto.
How Chatbots Interact with JD Cloud Infrastructure
The JD Cloud Infrastructure integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Secure cloud management Access for Agents
Integrate cloud management features into your LLM framework using JD Cloud Infrastructure. The MCP server ensures precise command execution across your industry titans stack.
virtual machines & AI Execution
Connect JD Cloud Infrastructure to provide your chatbots with virtual machines capabilities. The integration manages the backend execution for industry titans workflows.
JD Cloud 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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