EditorConfig MCP server
by neilberkmanLets your AI tidy up code files so they match your project's formatting rules.
AI Library · 4,066 MCP servers
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.
Lets your AI search and understand your codebase locally, saving tokens and time.
Lets your AI look up reviewed fixes for coding problems that other developers already solved.
Let your AI create starter projects in JavaScript, Python, or Go, and combine a frontend with a backend.
Lets your AI edit config files and code safely, with previews and undo, without breaking formatting.
Helps your AI pick only the files a coding task needs, so it uses fewer tokens and answers faster.
Lets your AI coding assistant pause and ask you for feedback before it calls a task done.
Ask your AI to scan a codebase for dead code, circular imports, coupling, and architecture drift.
Lets your AI read your local code and answer questions about structure, calls, and change impact.
Lets your AI check, clean up and repair code files, JSON and text on your own computer.
Your AI can rank your code files by importance, map dependencies, and answer questions about your codebase.
Lets your AI check, tidy up, and scan SQL queries for problems before you run them.
Lets your coding AI look up functions, callers, and what breaks if you rename something, without grepping.
Lets your AI look up who calls a piece of code, what depends on it, and what breaks if you change it.
Lets your AI scan a code folder and score how safe and production-ready it looks.
Lets your AI safely read files, query databases, and run approved commands in your local project.
Lets your AI see, start, stop, and restart long-running processes like your dev server, and read their logs.
Lets your AI search your codebase offline for symbols, references, and dependencies.
Let your AI review your codebase and suggest which tests to write next, with evidence.
Lets your AI read your project's own rule files so it follows your standards every time.
Lets your AI run terminal commands and see a short summary instead of pages of noisy output.
Lets several AI coding agents work on the same project without stepping on each other's files.
Your AI can clean up messy error logs, hide passwords, and check code fixes before applying them.