Compatible with every major AI agent and IDE
Get set on PractiTest
Get full details of a PractiTest test set including name, status, instances count, and execution summary
Get test on PractiTest
Get full details of a PractiTest test case including name, description, preconditions, steps, expected results, custom fields, and requirement links
List custom fields on PractiTest
List all custom fields in a PractiTest project. Returns field names, types, applicable entities, and possible values
List instances on PractiTest
List all test instances in a PractiTest test set. Instances are test-set-specific copies of test cases. Returns instance IDs, test references, and last run statuses
List issues on PractiTest
List all issues (defects) in a PractiTest project. Returns issue names, statuses, severities, and linked test references
List requirements on PractiTest
List all requirements in a PractiTest project. Requirements provide traceability to test cases and defects. Returns names, statuses, and linked test counts
List runs on PractiTest
List all runs for a PractiTest test instance. Runs record actual test execution results. Returns run IDs, statuses (PASSED/FAILED/BLOCKED/NOT_RUN/N_A), durations, and timestamps
List sets on PractiTest
List all test sets in a PractiTest project. Test sets group test instances for execution. Returns set names, statuses, planned/actual dates, and assigned testers
List tests on PractiTest
List all test cases in a PractiTest project. PractiTest is an end-to-end test management platform with traceability from requirements to defects. Returns test names, IDs, statuses, custom fields, and traceability links. Uses JSON:API format
List users on PractiTest
List all users in the PractiTest account. Returns user names, emails, roles, and statuses
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 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 PractiTest's requirement and issue tracing accessible to the AI?
Yes. Tools like list_requirements and list_issues expose full traceability trees. You can ask exactly how many QA instances are mapped to Requirement 5.
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.
Automated Workflows using PractiTest
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the PractiTest MCP server to manage operations across the following domains.
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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