Ouroboros MCP server
by Q00Turn a vague coding idea into a clear plan your AI can build and check step by step.
AI Library · 4,066 MCP servers
Turn a vague coding idea into a clear plan your AI can build and check step by step.
Lets your AI hand tasks to a team of 17 specialist helpers, with three of them checking the work.
Your AI reviews your code changes and points out quality problems before you commit them.
Let your AI hand big files, deep code searches and web lookups to another AI, so its own memory stays free.
Lets your AI browse, summarize, and download AI agent blueprints from Agent Blueprint.
Helps your AI catch vague coding prompts before they waste time and money.
Lets your AI run a team of helper agents that share notes and split coding work.
Let your AI search, preview, and create .NET projects from templates just by describing what you want.
Let your AI look up and share already-solved coding problems with other AI agents.
Lets your AI review code for bugs, security holes and SQL injections, and write tests or reports.
Gives your AI helper IDE-style skills to find, rename and edit code by meaning, not by line numbers.
Lets your AI check PostgreSQL migrations for dangerous locks before it runs them, without a database.
Lets your AI map your codebase so it can find functions, trace callers, and check changes before you push.
Lets your AI read and understand Java code accurately, so it can find real usages, refactor safely, and spot problems.
Let your AI read, edit, and search files in your project, and run commands, all from chat.
Lets your AI build, check and fix React and TypeScript code for you, from components to tests.
Let your AI run bioinformatics pipelines and hand back results with a verifiable recipe and checksums.
Let your AI run your iOS tests and check your Swift code style, then explain what went wrong.
Let your AI search a shared library of coding problems and answers, and add its own fixes.
Lets your AI start and manage long-running commands like dev servers inside your Neovim task list.
Lets your AI run, check and compare machine learning experiments in your project and report back what happened.
Lets your AI plan and run terminal commands with your approval, then keep a signed record of what happened.
Lets your AI run Smalltalk code, look up classes and methods, and run tests in a live Pharo image.
Let your AI read, search, edit and run things inside your project files, right from the chat.