Generate pairwise combinatorial test cases for comprehensive coverage with minimal test combinations. Ideal for QA engineers and developers who need efficient test suite design.
io.github.takeyaqa/PictMCP
Local install
STDIO
No auth required
How models use it and what it is built for.
Generate pairwise combinatorial test cases for comprehensive coverage with minimal test combinations. Ideal for QA engineers and developers who need efficient test suite design.
Local install — runs as a subprocess.
Where to find authoritative docs and source for PictMCP.
Paste any of these into Agent Studio after connecting PictMCP.
Common questions about connecting and running PictMCP.
What is pairwise combinatorial testing and why use it?
Pairwise testing ensures every pair of parameter values is tested at least once, reducing test cases from exponential to linear while maintaining high coverage. It's ideal for systems with many configuration options where full factorial testing is impractical.
How do I install and run PictMCP?
Install via npm with `npx pictmcp@0.6.0`. It runs over stdio transport, so connect it to your MCP client to start generating test cases immediately.
What format should I use to define test parameters?
Refer to the PictMCP documentation for the exact schema, but typically you'll specify parameter names and their possible values, and the server generates all pairwise combinations.
Can PictMCP handle constraints between parameters?
Check the documentation for constraint support. Pairwise tools often allow you to exclude invalid combinations, but feature availability depends on the implementation.
How many test cases will PictMCP generate for my scenario?
Pairwise generation produces far fewer cases than full factorial testing—typically O(n²) instead of exponential. The exact count depends on your parameter count and values; the server will show you the result.
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