codetopo MCP server
by nrupalaLets your AI map your code: what calls what, what breaks if you change it, how modules connect.
AI Library · 4,611 MCP servers
Lets your AI map your code: what calls what, what breaks if you change it, how modules connect.
Let your AI read your tickets, commits, and end-of-day notes so it can help you write updates.
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.
Lets your AI open, click, type in, and check desktop, Android, and iOS apps while it builds them.
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.
A starter kit for people who want to build their own MCP servers in TypeScript or Python.
Check whether an MCP server is alive and how many tokens its tools cost before you add it.
Lets your AI search and understand your codebase by meaning, not just keywords.
Check your files against EU and other rules like CRA, DORA, NIS2, PCI DSS and WCAG, with the line and the fix.
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 manage smplkit feature flags, config, logging, audit, and scheduled jobs right from chat.
Let your AI log into your own remote servers over SSH to check, edit, and manage things for you.
Get plain tech stack suggestions and side-by-side comparisons for any project, right in your AI chat.
Lets your AI read a map of your code project so it uses fewer tokens and makes fewer mistakes.
Check how hard your web pages are for screen-reader users to navigate, with your AI doing the checking.
Lets your AI open a terminal, look at what's on screen, and press keys or type for you.
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.