Compatible with every major AI agent and IDE
Export openapi on Apidog
Export the full OpenAPI 3.0 specification of an Apidog project as JSON
Get endpoint on Apidog
Fetch the complete schema of a single API endpoint
List endpoints on Apidog
List all API endpoints defined within a specific Apidog project
List projects on Apidog
List all API projects in the connected Apidog organization
List schemas on Apidog
List all data model schemas (DTOs, entities) defined in an Apidog project
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.
How can I check the payload requirements for a single specific route?
If you know the general area of the project, use list_endpoints to verify the ID. Then query get_endpoint. It brings back the specific HTTP verbs, query arguments, path definitions, and expected JSON body — letting your agent craft exact functional requests to external systems.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
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.
Supported Use Cases for Apidog
Build automated workflows with Cursor and Claude Code by connecting to the Apidog MCP server.
Automating api testing with AI
Integrate Apidog for AI-driven api testing management. The MCP server structures the outputs required for Claude to analyze productivity data.
AI Semantic Routing for mocking
Integrate Apidog for AI-driven mocking management. The MCP server structures the outputs required for Claude to analyze productivity data.
Apidog. 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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