ontomics MCP server
by EtienneCholletLets your AI read your codebase's concepts, naming rules, and similar functions in one quick step.
AI Library · 4,361 MCP servers
Lets your AI read your codebase's concepts, naming rules, and similar functions in one quick step.
Lets your AI read your OpenAPI API specs so it can explain endpoints and write code that matches them.
Give your AI a real, always-open terminal it can start things in and come back to later.
Lets your AI inspect webhooks, replay requests, and manage tunnels for your local apps.
Let your AI open real terminal sessions on your computer, servers, and network devices, and keep them running.
Lets your AI look inside a recorded program run to answer debugging questions about calls, errors and values.
Lets your AI talk to devices plugged into a serial port, like Arduino or STM32 boards.
Lets your AI run a small, approved set of command-line tools on your computer and read the results back to you.
Lets your AI plan, track and finish coding tasks without losing its place between sessions.
Lets your AI read and search all your local log streams on one timeline, without you switching windows.
Lets your AI coding helper check risky actions before it runs them, and remember your past feedback.
Lets your coding AI write, check and follow a plain English plan for each feature before it writes code.
Hover any web page element to see its name, then tell your AI exactly which part to change.
Let your AI study USB traffic from a gadget and write a small Python driver for it.
Lets your AI find files and code by describing what they do, not by remembering their names.
Let your AI undo risky coding changes and restore your project files to how they were before a session.
Check web pages for accessibility problems and get plain fixes your AI can apply.
Your AI can search and read the output of your past terminal commands, all stored locally.
Have your AI run a local pre-launch check on your app and hand you a scored report with fixes.
Lets your AI run safe, approved command-line tasks on your own computer and show you the results.
Your AI can answer "what breaks if I change this" by looking at a real map of your code, not guessing.
Let your AI pull hardcoded text out of your code and turn it into tidy, translatable content files.
Let your AI keep a simple log of technical decisions, the guesses you made, and how they turned out.
Lets your AI decode tokens, make IDs, hash text, explain cron schedules, and clean up JSON for you.