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Vinkius

PractiTest Connector for AI agents.

11 live capabilities

Manage QA test cycles and software requirements through your AI client.

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AI Agent

Why people use PractiTest

PractiTest for QA Test Management Automation

This Connector lets you skip the clicking. You can just tell your AI agent to 'list all test runs for the mobile app project' or 'create a new test instance.' You get your data instantly in the chat window, letting you focus on actual testing instead of admin work.

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

What Vinkius changes

You get a conversational interface for your entire PractiTest QA workspace.

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

One account · 5,900+ Connectors

  1. Real-world use case 01

    Checking coverage

    A QA lead asks the agent to list all requirements for project X to see if any are missing tests.

  2. Real-world use case 02

    Quick run setup

    A developer wants to start a new test run and asks the agent to create it using the standard JSON template.

  3. Real-world use case 03

    Status updates

    A project manager asks for a list of all active instances to see the current progress of the latest release.

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

    Get requirement

    Get the specific details of a requirement within a project. This helps you quickly verify QA coverage.

  2. 02 Capability

    Get test

    Pull the information for a specific test from your PractiTest workspace. Use this to see test details quickly.

  3. 03 Capability

    List instances

    See all the instances currently grouped within a specific project. This is great for monitoring active testing.

  4. 04 Capability

    List projects

    View all projects that your API token has permission to access. Use this to navigate between different projects.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 11 available through PractiTest.

  1. 05 Capability

    List requirements

    Get a full list of requirements for a specific project. Use this to see what needs to be tested.

  2. 06 Capability

    List runs

    See all the test runs associated with a particular project. This helps you track progress over time.

  3. 07 Capability

    List tests

    Pull a list of all tests included in a specific project. Use this to get a bird's eye view of your test suite.

  4. 08 Capability

    Create instance

    Make a new instance in a project by providing the necessary JSON data. This automates your test setup.

Capability set03 / 03

09—11

3 capabilities in this set.

Part of 11 available through PractiTest.

  1. 09 Capability

    Create run

    Start a new test run in a project by sending the required JSON data. It saves you from manual form filling.

  2. 10 Capability

    Create test

    Add a new test to a project using a JSON data string. Use this to expand your test suite quickly.

  3. 11 Capability

    Get project

    Get the core details of a specific project in your account. This is useful for quick project verification.

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_WPLaAtvDfNnWYy76l0P0pqFN9UmkzlstxMxSTja8/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 QA engineers who are tired of manual data entry, project managers who need quick status updates without digging through folders, and developers who want to check test results on the fly.

01

QA Engineer

Uses this to spin up new test runs and check requirement coverage without leaving their chat window.

02

Project Manager

Queries the agent for high-level QA status and project summaries to keep stakeholders updated.

03

Software Developer

Checks test results and specific requirement details while they are in the middle of a coding task.

Bring your own AI

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

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about PractiTest.

The practical details behind the request, access and result.

Can the PractiTest MCP help me create test runs?

Yes, it lets your agent create new test runs directly. You just provide the details, and the agent handles the creation in your workspace.

How does the PractiTest MCP help with QA coverage?

You can use it to list and fetch requirements. This helps you quickly see which parts of your project are covered by tests.

Can I use the PractiTest MCP to see my projects?

Yes, the Connector can list all projects your API token can access, making it easy to switch contexts.

Does the PractiTest MCP work with Cursor or Claude?

It works with any MCP-compatible client, including Claude, Cursor, and Windsurf.

Can I automate my QA reporting with the PractiTest MCP?

You can pull live QA data and project details to build reports much faster than manual copy-pasting.

What do I need to set up the PractiTest MCP?

You just need a PractiTest API token. Once you provide that to the Connector, your agent can start querying your data.

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