Tarn MCP server
by NazarKalytiukLets your AI write, run, and fix API tests, then explain what broke and how to fix it.
AI Library · 4,066 MCP servers
Lets your AI write, run, and fix API tests, then explain what broke and how to fix it.
Lets your AI find and edit code by name, remember past decisions, and tidy up messy command output.
Check any web page or HTML snippet for accessibility problems, color contrast and ARIA mistakes.
Ask your AI to download a whole website to your computer, keeping its pages and links working offline.
Lets your AI look up the agentic-os governance, SDLC and QE docs, plan an install, and check an existing setup.
Give your AI a lasting memory of your code so it can find functions fast and remember what you did.
Scan any website and get a plain score for how ready it is for AI agents, plus a fix plan.
Check which lines of your code break when you upgrade a library, and catch made-up API calls.
Lets your AI map a TypeScript or React codebase and answer who calls, renders, or breaks what.
Lets your AI learn your team's coding patterns and check what a change will affect before it edits.
Lets your AI see your local dev setup: framework, running services, recent errors and git state.
Lets your AI pick just the right Python functions for a code change, so it stops breaking things it never saw.
Lets your AI call the web APIs your team already built with the Echo framework, without extra setup.
Lets your AI tidy up code files so they match your project's formatting rules.
Lets your AI look up @imqueue docs and draft typed service code for you.
Look up accessible KoliBri web components, their specs, docs, and usage examples right inside your AI chat.
Lets your AI search and understand your codebase locally, saving tokens and time.
Let your AI create starter projects in JavaScript, Python, or Go, and combine a frontend with a backend.
Lets your AI look up ready-made expert instructions for 42+ roles, like a code reviewer or a CFO.
Lets your AI edit config files and code safely, with previews and undo, without breaking formatting.
Lets your AI run local checks, proofs, and receipts so its work can be re-checked later.
Lets your AI answer QA questions using ISTQB, OWASP, ISO and EU AI Act standards, and score your test documents.
Lets your AI look up open-source AI models, compare them, and estimate memory and cost for you.
Record what your AI agent did once, then replay it the same way every time and get a receipt.