TestMonitor Connector for AI agents.
10 live capabilities
Manage QA projects and track test runs from your chat.
Waiting for input…
Why people use TestMonitor
TestMonitor QA Project Management and Defect Tracking
This Connector changes that by letting your AI agent do the heavy lifting for you. You can just ask for a summary of what's finished, which bugs are still open, and who is actually assigned to a specific role. It pulls real-time data from your TestMonitor instance so you can stay focused on the actual work.
What Vinkius changes
You get a conversational interface for your entire QA management suite.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Pre-meeting status updates
A Quality Director needs a summary of all milestones and test runs across three projects before a stand-up.
- Real-world use case 02
Rapid defect triaging
A Bug Triager wants to see all open issues for a specific project.
- Real-world use case 03
Requirement gap analysis
A Product Owner wants to see if a new requirement has corresponding test cases.
Complete set · 10capabilities
The complete TestMonitor capability set.
These are the exact actions your AI can choose when you ask it to work with TestMonitor.
01—04
4 capabilities in this set.
Part of 10 available through TestMonitor.
- 01 Capability
Get project details
Pull specific metadata for a single TestMonitor project. This helps you see the status and coverage of a project at a glance.
- 02 Capability
List test cases
Get a full list of all test cases in a project. Use this to check your total test coverage.
- 03 Capability
List issues
Retrieve a list of all defects or issues within a project. Use this to see what bugs need fixing.
- 04 Capability
List milestones
View all project milestones and their current status. This keeps your project timeline visible.
05—07
3 capabilities in this set.
Part of 10 available through TestMonitor.
- 05 Capability
List projects
Get a list of all projects available on your instance. This is the starting point for finding your projects.
- 06 Capability
List requirements
See all requirements mapped to a project. Use this to ensure every feature is accounted for.
- 07 Capability
List test runs
See all test runs associated with a specific project. This helps you track recent testing activity.
08—10
3 capabilities in this set.
Part of 10 available through TestMonitor.
- 08 Capability
List account users
View all users and their roles in your workspace. This helps you see who owns which part of the project.
- 09 Capability
Get test case details
Get the full steps and expected results for a specific test case. This lets you see exactly what a test is supposed to do.
- 10 Capability
Get test run details
Pull the specific results and details for a single test run. This gives you a deep dive into a specific run.
Set up in minutes
One URL. Then ask TestMonitor to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use TestMonitor 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_oUSR4BtkMlXIV58CHABZT39Yq2DSP4r9MO0hKGi4/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 TestMonitor, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable TestMonitor for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_oUSR4BtkMlXIV58CHABZT39Yq2DSP4r9MO0hKGi4/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 TestMonitor URL.
- Step 03
Save and start
Save the connection and enable TestMonitor in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"testmonitor": {
"url": "https://edge.vinkius.com/vk_preview_oUSR4BtkMlXIV58CHABZT39Yq2DSP4r9MO0hKGi4/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 TestMonitor
Open Agent mode in chat and ask: "Using TestMonitor, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"testmonitor": {
"url": "https://edge.vinkius.com/vk_preview_oUSR4BtkMlXIV58CHABZT39Yq2DSP4r9MO0hKGi4/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 TestMonitor
Ask Copilot: "Using TestMonitor, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"testmonitor": {
"url": "https://edge.vinkius.com/vk_preview_oUSR4BtkMlXIV58CHABZT39Yq2DSP4r9MO0hKGi4/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 TestMonitor
Open Cascade and ask: "Using TestMonitor, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"testmonitor": {
"url": "https://edge.vinkius.com/vk_preview_oUSR4BtkMlXIV58CHABZT39Yq2DSP4r9MO0hKGi4/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 TestMonitor
Ask Cline: "Using TestMonitor, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add testmonitor --transport http "https://edge.vinkius.com/vk_preview_oUSR4BtkMlXIV58CHABZT39Yq2DSP4r9MO0hKGi4/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 TestMonitor
Ask Claude: "Using TestMonitor, show me...". 10 tools are ready
Where the request belongs
Work TestMonitor can move forward.
This is for QA leads and product managers who are tired of clicking through multiple dashboards to find simple status updates or defect counts.
Quality Director
Gets a quick summary of test runs and milestones before daily stand-ups without opening the browser.
Bug Triager
Pulls reported defects and assigns context to new tickets without manual searching.
Product Owner
Cross-references requirements against active test cases to ensure feature parity.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsQase
Bring Qase test management into your AI workflow. list projects, track test runs, inspect cases, and monitor defects directly from your chat.
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Navigate your self-hosted TestLink instance to inspect test plans, suites, cases, and builds natively via your AI agent.
Xray (Test Management)
Manage test cases, executions, and plans on Xray. the leading quality assurance platform for Jira.
PractiTest
Manage your PractiTest projects, tests, and runs directly using AI Agents.
TestRail
Browse TestRail suites, parse manual test specs, and monitor active runs seamlessly native within your conversational AI workflow.
Zephyr Scale (SmartBear)
Manage test cases, cycles, and executions on Zephyr Scale. the high-performance test management capability for Jira.
Bring your own AI
Change the model, client or framework. Keep TestMonitor 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 TestMonitor.
The practical details behind the request, access and result.
Can I use TestMonitor MCP to track bugs in my QA workflow?
Yes. You can ask your agent to list all issues or defects for a specific project. It pulls the data directly so you can see what needs fixing without opening your browser.
How does TestMonitor MCP help with QA requirements?
It allows your agent to list all requirements mapped to a project. This makes it easy to verify that every feature has been accounted for during the testing phase.
Can TestMonitor MCP show me my project milestones?
Yes. You can ask for a list of milestones for any project to see your current progress and upcoming deadlines in a simple list.
Does TestMonitor MCP work with Claude or Cursor?
Yes. It works with any MCP-compatible client including Claude, Cursor, and Windsurf. Once connected, your agent can query your QA data freely.
Can I see specific test case steps using TestMonitor MCP?
You can. If you provide a test case ID, the agent can pull the full description, including the specific steps and the expected results.
Is TestMonitor MCP good for large QA teams?
It's excellent for teams who need to stay organized. It helps leads get high-level summaries and triagers find specific bugs quickly across large projects.
Does this capability automate actual user interface tests on websites?
No. TestMonitor is essentially a Test Management Hub. You document your cases, requirements, runs, and defect reports structurally. The Connector reads this deep structural data allowing the AI to help correlate bugs to requirements and plan sprints—it does not inherently control a web-browser headless tester to run things.
Which ID should I pass to fetch Test Runs or Cases?
Almost all context actions downstream require a project_id. Start by telling your prompt: 'List all my TestMonitor projects'. Take the numeric ID corresponding to your target platform, then use it as the anchor for subsequent 'list test cases', 'list runs', or 'list issues' queries.
Where do I track the Personal Access Token setting?
It is tied to your individual profile. Log in via web, go to the top right avatar, pick 'My Account', open the 'API' sub-tab, and hit 'Create Token'. Copy it precisely because it is obscured upon closing.
One connection away
Give your agent a direct line to TestMonitor.
Connect TestMonitor once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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