Redcon MCP server
by natiixntHelps your AI pick only the files a coding task needs, so it uses fewer tokens and answers faster.
AI Library · 4,609 MCP servers
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.
Lets your AI read the architecture rules your TypeScript project already follows, with the evidence for each.
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.
Give your AI a map of your code so it can find who calls what, and what a change touches.
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.
Lets your AI code editor search your code by meaning and remember findings across sessions.
Give your AI coding helper a lasting memory of your project, so it stops repeating old mistakes.
Lets your AI read a tidy summary of your codebase so it writes code that fits your project.
Lets your AI study your codebase's structure and suggest where changes belong.