PractiTest Connector for AI agents.
11 live capabilities
Manage QA test cycles and software requirements through your AI client.
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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.
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
- 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.
- 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.
- 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.
01—04
4 capabilities in this set.
Part of 11 available through PractiTest.
- 01 Capability
Get requirement
Get the specific details of a requirement within a project. This helps you quickly verify QA coverage.
- 02 Capability
Get test
Pull the information for a specific test from your PractiTest workspace. Use this to see test details quickly.
- 03 Capability
List instances
See all the instances currently grouped within a specific project. This is great for monitoring active testing.
- 04 Capability
List projects
View all projects that your API token has permission to access. Use this to navigate between different projects.
05—08
4 capabilities in this set.
Part of 11 available through PractiTest.
- 05 Capability
List requirements
Get a full list of requirements for a specific project. Use this to see what needs to be tested.
- 06 Capability
List runs
See all the test runs associated with a particular project. This helps you track progress over time.
- 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.
- 08 Capability
Create instance
Make a new instance in a project by providing the necessary JSON data. This automates your test setup.
09—11
3 capabilities in this set.
Part of 11 available through PractiTest.
- 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.
- 10 Capability
Create test
Add a new test to a project using a JSON data string. Use this to expand your test suite quickly.
- 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 previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_WPLaAtvDfNnWYy76l0P0pqFN9UmkzlstxMxSTja8/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it PractiTest, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable PractiTest for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_WPLaAtvDfNnWYy76l0P0pqFN9UmkzlstxMxSTja8/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the PractiTest URL.
- Step 03
Save and start
Save the connection and enable PractiTest in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"practitest-alternative": {
"url": "https://edge.vinkius.com/vk_preview_WPLaAtvDfNnWYy76l0P0pqFN9UmkzlstxMxSTja8/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using PractiTest
Open Agent mode in chat and ask: "Using PractiTest, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"practitest-alternative": {
"url": "https://edge.vinkius.com/vk_preview_WPLaAtvDfNnWYy76l0P0pqFN9UmkzlstxMxSTja8/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using PractiTest
Ask Copilot: "Using PractiTest, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"practitest-alternative": {
"url": "https://edge.vinkius.com/vk_preview_WPLaAtvDfNnWYy76l0P0pqFN9UmkzlstxMxSTja8/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using PractiTest
Open Cascade and ask: "Using PractiTest, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"practitest-alternative": {
"url": "https://edge.vinkius.com/vk_preview_WPLaAtvDfNnWYy76l0P0pqFN9UmkzlstxMxSTja8/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using PractiTest
Ask Cline: "Using PractiTest, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add practitest-alternative --transport http "https://edge.vinkius.com/vk_preview_WPLaAtvDfNnWYy76l0P0pqFN9UmkzlstxMxSTja8/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using PractiTest
Ask Claude: "Using PractiTest, show me...". 11 tools are ready
Where the request belongs
Work PractiTest can move forward.
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.
QA Engineer
Uses this to spin up new test runs and check requirement coverage without leaving their chat window.
Project Manager
Queries the agent for high-level QA status and project summaries to keep stakeholders updated.
Software Developer
Checks test results and specific requirement details while they are in the middle of a coding task.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsPractiTest
Manage your PractiTest projects, tests, and runs directly using AI Agents.
Qase
Bring Qase test management into your AI workflow. list projects, track test runs, inspect cases, and monitor defects directly from your chat.
TestLink
Navigate your self-hosted TestLink instance to inspect test plans, suites, cases, and builds natively via your AI agent.
TestRail
Browse TestRail suites, parse manual test specs, and monitor active runs seamlessly native within your conversational AI workflow.
ContextQA
Automate testing via ContextQA. manage test suites, track AI-healing executions, trigger automated runs, and audit API tests directly from any AI agent.
Katalon TestOps (AI Test Management)
Manage test orchestration via Katalon TestOps. rerun test runs, monitor execution results, and audit software releases.
Bring your own AI
Change the model, client or framework. Keep PractiTest connected.
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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