"Testing MCP solves this by giving AI assistants live access to your test environment: AI sees actual page structure (DOM), console logs, and rendered output AI executes code directly in tests without editing files AI knows exactly which testing APIs are available (screen, fireEvent, waitFor, etc.) You iterate faster with real-time feedback instead of blind guessing View live page structure snapshots, console logs, and test metadata through MCP tools. No more adding temporary console.log statements or running tests repeatedly."
"Traditional test writing is slow and frustrating: Write → Run → Read errors → Guess → Repeat - endless debugging cycles Add console.log statements manually - slow feedback loop AI assistants can't see your test state - you must describe everything Must manually explain available APIs - AI generates invalid code Testing MCP solves this by giving AI assistants live access to your test environment:"
Install testing-mcp as a dev dependency and configure a Model Context Protocol (MCP) server. Connect tests to the MCP server and run tests with TESTING_MCP enabled to enable persistent sessions. AI assistants gain live access to page structure (DOM), console logs, rendered output, and test metadata through MCP tools. Assistants can execute JavaScript/TypeScript directly in the running test environment, interact with the page, inspect state, and run assertions without editing test files. MCP automatically exposes available testing APIs (screen, fireEvent, waitFor) with type information and descriptions. Reliable WebSocket sessions enable iterative, real-time test writing and debugging.
Read at GitHub
Unable to calculate read time
Collection
[
|
...
]