Compatible with every major AI agent and IDE
Get api details on SwaggerHub
Retrieves metadata for a SwaggerHub API definition
Get api version spec on SwaggerHub
Retrieves a specific version of a SwaggerHub API definition (OpenAPI spec)
Get domain details on SwaggerHub
Retrieves metadata for a SwaggerHub domain
Get project details on SwaggerHub
Retrieves details of a SwaggerHub project
List api integrations on SwaggerHub
Lists all CI/CD integrations configured for a SwaggerHub API
List api templates on SwaggerHub
Lists all available API templates on SwaggerHub
List apis on SwaggerHub
List all API definitions owned by a SwaggerHub user or organization
List domains on SwaggerHub
Lists all shared domains (reusable components) owned by a user or org
List projects on SwaggerHub
Lists all projects in a SwaggerHub organization
Search apis on SwaggerHub
Search all public APIs on SwaggerHub by keyword
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 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.
Can the agent interact with public APIs outside my specific organizational ecosystem?
Yes. Beyond listing your own API configurations, the integration includes powerful global metadata tools like search_apis allowing you to query keyword structures discovering public interfaces readily.
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.
Automated Workflows using SwaggerHub
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the SwaggerHub MCP server to manage operations across the following domains.
Mastering openapi with Agents
The SwaggerHub MCP translates LLM intent into specific openapi actions. Agents like Cursor use this to interface securely with your developer tools infrastructure.
Claude Code Integration for api design
The SwaggerHub server exposes documented endpoints for api design. This allows ChatGPT and Cursor to interact with developer tools APIs seamlessly.
SwaggerHub. 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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