Compatible with every major AI agent and IDE
Create instance on PractiTest
Provide the data as a JSON string. Create a new instance in a PractiTest project
Create run on PractiTest
Provide the data as a JSON string. Create a new run in a PractiTest project
Create test on PractiTest
Provide the data as a JSON string. Create a new test in a PractiTest project
Get project on PractiTest
Get details of a specific PractiTest project
Get requirement on PractiTest
Get details of a specific requirement in a PractiTest project
Get test on PractiTest
Get details of a specific test in a PractiTest project
List instances on PractiTest
List instances within a specific PractiTest project
List projects on PractiTest
List all PractiTest projects accessible by the API token
List requirements on PractiTest
List requirements within a specific PractiTest project
List runs on PractiTest
List runs within a specific PractiTest project
List tests on PractiTest
List tests within a specific PractiTest 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.
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.
Are custom fields supported when creating new tests?
Yes! The AI agent formats API requests dynamically. If your workspace requires custom fields, simply instruct the agent on which attributes to include during the test creation.
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.
Automated Workflows using PractiTest
The PractiTest MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
AI Semantic Routing for qa testing
Use PractiTest to manage qa testing via conversational interfaces. The integration centralizes access control for developer tools operations performed by ChatGPT.
Prompting test management Workflows
Connect PractiTest to provide your chatbots with test management capabilities. The integration manages the backend execution for developer tools workflows.
PractiTest. 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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