TestAtlas MCP server
by KarzoneLets your AI look up existing test steps, scenarios and code in your .NET test project so it stops writing duplicates.
AI Library · 4,609 MCP servers
Lets your AI look up existing test steps, scenarios and code in your .NET test project so it stops writing duplicates.
Lets your AI look up a TypeScript API it has never seen before, so it can help you use it.
Lets your AI look up symbols, find usages, and trace call graphs in your local codebase.
Let your AI create test cases for your web app and run them in real browsers, then report pass or fail.
Lets your AI read your code's structure, find functions and classes, and see what would break if you change something.
Let your coding AI build code on one computer and prove it works on another, with a receipt of what happened.
Lets your AI map out a code project so it can find functions, classes and knock-on effects fast.
Lets your AI map your whole code project so it can answer questions about how the code fits together.
Lets your AI map your code: what calls what, what breaks if you change it, how modules connect.
Lets your AI run code reviews, security checks, tests, and release prep on your project for you.
Let your AI plan, write, review, and merge small coding tasks in your project.
Gives your AI a map of a Go code project so it can find callers, definitions, and impact before you change code.
Your AI can check a running web page for spacing and sizing mistakes and tell you how to fix them.
Let your AI pick the right files from your code project and pack them into a tidy context for a chat or another AI.
Let your AI check JSON, API responses, and SQL for mistakes before you trust them.
Lets your AI search and understand your codebase by meaning, not just keywords.
Lets your AI read a tidy map of your code project instead of the whole thing, saving space and hiding secrets.
Lets your AI answer questions about your codebase using a pre-built index instead of guessing.
Lets your AI skim big files and noisy command output instead of reading everything, while keeping the full text on hand.
Lets your AI read a map of your code project so it uses fewer tokens and makes fewer mistakes.
Lets your AI understand your codebase structure and answer questions about how files and features connect.
Lets your AI scan a Next.js project to find unused files and dead API endpoints.
Lets your AI check your written architecture decisions against your real code and flag what no longer matches.
Let your AI read your API spec, find endpoints, and write TypeScript types for you.