I use AI as a support tool. After each change the AI implements, it runs the relevant unit tests. However, ncrunch does the same thing in parallel. It would be helpful to have an ncrunch MCP server that the AI could query.

+1!
Nowadays it feels there is a big traction to "sell in" NCrunch internally with colleagues. I used to use NCrunch to demonstrate TDD, but nowadays when AI agents "can write" the tests for you trying to persuade devs to do "TDD manually" feels a bit outdated.

If one could let AI agents use NCrunch engine via MCP; Maybe we can get argue that this will result to even better code, e.g. better "TDD cycle" logic, easily add tests where code is missing coverage, troubleshoot test issues with help of the RDI etc., I think this would be a really big sellpoint.

I hope it happens :)

Yes, in concept this isn't too complicated. NCrunch just needs to expose an MCP server containing the APIs that allow the agent to pull data directly from the engine, and give it basic instructions (i.e. run specific tests, etc).

Where I expect it will be more complicated is in finding sensible ways to represent the data so that the models can make sense of it. This is going to require trial and error to get right, but I'm excited about it.

When you consider how much of a productivity improvement we get from running tests continuously and working with features like RDI, it's reasonable to expect that an intelligent agent could see the same benefits. Building more reliable applications for a fraction of the tokens would be a big win.