Find and prepare test cases
Look up existing cases, inspect their configuration, or ask for help creating a case. Reuse the test assets your team already maintains.
Example request
Find the cases for this API so I can review the coverage.
Testany MCP
Connect your AI assistant to your testing workflow
Testany uses Model Context Protocol (MCP) to give AI assistants access to test cases, pipelines, executions, and results. Bring testing into the conversation where you plan changes and investigate failures.
The documentation includes setup guides for Claude Code, Cursor, and VS Code with GitHub Copilot, among other clients.
From a question to test evidence
Your AI assistant
Describe the test task or the result you want to inspect.
Testany MCP
Connect the assistant to the platform through documented tools.
Your testing workflow
Work with cases, pipelines, runs, and the evidence they produce.
Practical uses
Move between test preparation, execution, and investigation
Use an assistant to work with the test assets in Testany. Start with a focused task, inspect what it finds, and decide the next action.
Build a test pipeline
Organize cases into a workflow and work on the pipeline configuration. Review the intended sequence and data handoffs before running it.
Example request
Help me assemble these cases into a regression pipeline.
Run and follow a test
Trigger a selected pipeline and inspect its execution status. Keep the run you are investigating connected to the task in your conversation.
Example request
Check the status of the pipeline run we just started.
Investigate a failure
Retrieve execution results and logs to support an investigation. Review the evidence before accepting an explanation or changing a test.
Example request
Inspect the failed execution and show me the relevant logs.
Getting started
Connect, inspect, then act
Use the technical documentation for the current endpoint and client configuration. You will need a Testany account with API access.
- 1
Confirm your connection
Check the endpoint for your tenant and follow the API token instructions. Keep credentials out of prompts, shared files, and source control.
- 2
Configure your assistant
Follow the guide for your MCP client, then check that it can discover the available Testany tools.
- 3
Start with an inspection
Ask for existing pipelines or an execution status first. Review proposed changes before requesting case updates or starting a test run.
Optional Agent Skills
Add guidance for recurring test tasks
MCP exposes the operations. The optional testany-bot skills provide guidance for using them in testing workflows, including case preparation, pipeline configuration, and failure analysis.
Skills are not required to use Testany MCP. Follow the installation guidance for your assistant if you choose to add them.
Plan your integration
Check the setup that applies to your team
Tenant and region
The current Quick Start documents a China endpoint. Contact us to confirm availability for your tenant, region, and deployment before planning a rollout.
Credentials and actions
Follow your organization’s account, credential, and AI usage policies. Decide which operations an assistant should perform and when a person should review a change.
Results and data handling
Review which results or logs your assistant may receive and how it handles them. Discuss deployment and data residency requirements with our team before connecting sensitive workloads.
Questions before you connect
What do I need to use Testany MCP?
A Testany account with API access, an appropriate tenant endpoint, and an AI assistant that supports the connection described in the Quick Start. Follow the guide for your client.
Do I have to install Agent Skills?
No. Skills are optional. You can use the MCP tools through an assistant without adding testany-bot; the skills provide additional workflow guidance.
Which testing tasks can I start with?
Start by finding a case, inspecting pipeline configuration, checking an execution, or reviewing failure logs. The documentation describes workflows for preparing and running tests as well.
Where can I find the current technical details?
Use the Testany AI integration documentation for setup, supported clients, and connection details. Contact us to confirm the options for your region and deployment.
Continue with the technical documentation
Keep configuration details in one place: the product documentation and the skills repository.
AI integration quick start
Account prerequisites, client configuration, and connection checks.
AI integration overview
How MCP and optional skills fit into Testany workflows.
Testany Agent Skills
The public repository for testany-bot and its workflow guidance.
Plan an integration around your testing needs
Tell us about your assistant, test workflow, and deployment requirements so we can discuss the appropriate setup.
Contact Testany