CodeMCP (CKB) code knowledge server
by SimplyLizLets your AI answer questions about your codebase: what calls what, what breaks if you change it, who owns it.
AI Library · 4,066 MCP servers
Lets your AI answer questions about your codebase: what calls what, what breaks if you change it, who owns it.
Lets your AI check the images on a web page and flag the ones that are too big for their spot.
Let your AI run commands on your servers and clusters without ever seeing a password or key.
Lets your AI explore your code's connections and see what a change might affect.
Check what an MCP server can actually touch, like files, network, and commands, before you trust it.
Let your AI create realistic fake test data for your database, in JSON, CSV or SQL.
Lets your AI read, search, and carefully edit the code in one project folder, with Git and code navigation built in.
Look up real NixOS packages, options, Home Manager and nix-darwin settings instead of guessing.
Lets Claude Code read your project's own docs when you type @ in a chat.
Lets your AI look up current documentation for a specific Rust crate before writing code.
Let your AI check server health, read logs, edit project files, and manage Nginx and certificates for you.
Let your AI look at files, folders and git history in a safe workspace, without running wild commands.
Let your AI publish a website and manage its backend, domains, and email for you.
Turn plain English into architecture diagrams, code exports, and drift reports for your repo.
Turns your AI coding rules into real guardrails that can block bad actions and log what happened.
Lets your AI write ready-made SaaS specs: design systems, database schemas and security rules.
Let your AI open and watch real terminal windows, run commands, and manage several coding agents at once.
Let your AI run your tests, look at failures, and suggest what to fix next.
Let your AI audit web pages for accessibility and color contrast, then file and manage QA issues.
Let your AI plan, save and track your project's progress, and publish it to pmptwiki for you.
Ask your AI to draw an architecture map of a code folder, so you can see how it is built without reading every file.
Let your AI safely peek at your Linux or Docker servers over SSH and read back the clues it finds.
Lets your AI look at and manage your Sevalla cloud apps and services by chatting with it.
Lets your AI scan your code for dead code, security problems, and quality issues before you merge.