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Vinkius

PractiTest Connector for AI agents.

11 live capabilities

Trace software requirements to test results and defects natively.

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AI Agent

Why people use PractiTest

PractiTest QA Traceability for Software Quality Assurance

This Connector changes that by bringing all that data into your AI agent. You can ask your agent to pull the requirements, find the linked tests, and check the latest run status in one go. You get a unified view of your software's health without ever leaving your conversation.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a direct line from your AI agent to your entire QA lifecycle data without leaving your chat window.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Regression Analysis

    A QA engineer asks the agent to find all failed runs in the Payment Flow set and list the linked issues using `list_runs` and `list_issues`.

  2. Real-world use case 02

    Requirement Auditing

    A Product Owner wants to know which requirements are missing test coverage and asks the agent to list requirements with zero links.

  3. Real-world use case 03

    Defect Triage

    A developer asks the agent to find the specific test steps that failed for a high-severity bug to see the expected behavior using `get_test`.

Complete set · 11capabilities

The complete PractiTest capability set.

These are the exact actions your AI can choose when you ask it to work with PractiTest.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 11 available through PractiTest.

  1. 01 Capability

    Create run

    Provide the data as a JSON string. Create a new run in a PractiTest project

  2. 02 Capability

    Create test

    Provide the data as a JSON string. Create a new test in a PractiTest project

  3. 03 Capability

    Get project

    Get details of a specific PractiTest project

  4. 04 Capability

    Get requirement

    Get details of a specific requirement in a PractiTest project

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 11 available through PractiTest.

  1. 05 Capability

    List requirements

    View all project requirements and see how many tests are linked to each.

  2. 06 Capability

    Create instance

    Provide the data as a JSON string. Create a new instance in a PractiTest project

  3. 07 Capability

    List instances

    Find all test instances within a set, including their last run statuses.

  4. 08 Capability

    List projects

    List all PractiTest projects accessible by the API token

Capability set03 / 03

09—11

3 capabilities in this set.

Part of 11 available through PractiTest.

  1. 09 Capability

    List runs

    Pull the full history of execution results, durations, and timestamps for a test instance.

  2. 10 Capability

    List tests

    Pull all test cases in a project with traceability links and custom fields.

  3. 11 Capability

    Get test

    Get the full details of a test case, including steps, preconditions, and requirements.

Set up in minutes

One URL. Then ask PractiTest to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use PractiTest from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_aImDfxsnDktkH2b8NuISoxnqQMdLW9rlwg57urZq/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it PractiTest, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable PractiTest for the conversation.

Where the request belongs

Work PractiTest can move forward.

Built around the request

This is for the QA lead who's tired of manual traceability audits and the developer who needs to know exactly what failed during a test run without digging through logs.

01

QA Automation Engineer

Verifying integration outputs by pulling run histories instantly to find regressions.

02

Product Owner

Checking live requirement statuses against execution states in real-time during meetings.

03

Software Developer

Parsing exact failure steps and linked issues before diving into the code to fix bugs.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
PractiTest logo
01 11 capabilities

PractiTest

Manage your PractiTest projects, tests, and runs directly using AI Agents.

View Connector
Qase logo
02 10 capabilities

Qase

Bring Qase test management into your AI workflow. list projects, track test runs, inspect cases, and monitor defects directly from your chat.

View Connector
TestLink logo
03 10 capabilities

TestLink

Navigate your self-hosted TestLink instance to inspect test plans, suites, cases, and builds natively via your AI agent.

View Connector
TestRail logo
04 10 capabilities

TestRail

Browse TestRail suites, parse manual test specs, and monitor active runs seamlessly native within your conversational AI workflow.

View Connector
ContextQA logo
05 10 capabilities

ContextQA

Automate testing via ContextQA. manage test suites, track AI-healing executions, trigger automated runs, and audit API tests directly from any AI agent.

View Connector
Katalon TestOps (AI Test Management) logo
06 10 capabilities

Katalon TestOps (AI Test Management)

Manage test orchestration via Katalon TestOps. rerun test runs, monitor execution results, and audit software releases.

View Connector

Bring your own AI

Change the model, client or framework. Keep PractiTest connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
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Before you connect

Questions about PractiTest.

The practical details behind the request, access and result.

Does the PractiTest MCP help with requirements traceability?

Yes, it connects your requirements directly to your tests and issues. You can ask your agent to show you exactly which requirements are covered by which tests.

Can I use PractiTest to find out why a test failed?

Yes, the Connector pulls run histories so you can see the exact steps that were executed. This helps you identify the specific point where a regression occurred.

How do I get my requirements into my AI agent?

The Connector pulls them directly from your PractiTest project. Once connected, your agent can read and summarize your requirements in any chat window.

Can my AI agent see custom fields in PractiTest?

Yes, it can list and read all your custom fields. This means your agent can access specific metadata that your team uses to categorize tests or issues.

Is this good for QA automation engineers?

It's a great fit. It helps engineers verify integration outputs and quickly find failed runs across large test suites without manual searching.

Can the AI provide the exact step where a test case failed?

Yes. If an execution failed, the agent uses list_runs for the instance. Since an instance maps directly to test steps, the AI inherently decodes the exact execution traces to show you the failing parameters.

Is PractiTest's requirement and issue tracing accessible to the AI?

Yes. Capabilities like list_requirements and list_issues expose full traceability trees. You can ask exactly how many QA instances are mapped to Requirement 5.

Do I need to copy the project ID separately?

Yes. In PractiTest, APIs execute cleanly isolated within specific Project instances. You must provide the numeric Project ID alongside your Personal Token so the underlying pt-engine binds queries strictly to that project.

Can the AI Agent execute tests inside PractiTest?

While the agent cannot run automated testing scripts directly in PractiTest, it can create Test Runs, log results into Instances, and manage the administrative side of QA efficiently.

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.

Is there a limit on how many tests the agent can list at once?

The agent adheres to PractiTest API pagination limits. By default, it returns a single page of results, but you can explicitly ask the AI to query a different page number or limit.

One connection away

Give your agent a direct line to PractiTest.

Connect PractiTest once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available