GodotLens MCP server
by pzalutski-pixelLets your AI ask Godot itself about your GDScript project: where things are used, what compiles, and what the game printed.
AI Library · 4,066 MCP servers
Lets your AI ask Godot itself about your GDScript project: where things are used, what compiles, and what the game printed.
Let your AI check a running .NET app for memory leaks and suggest code fixes.
Lets your AI look up npm packages: sizes, downloads, vulnerabilities and dependencies.
Lets your AI look up fresh documentation and examples for popular coding frameworks while you work.
Lets your AI assistant read and work with the files open in your Neovim editor.
Let your AI send everyday writing and review tasks to a model running on your own computer.
Lets your AI check if a model name is still working, when it retires, and what to use instead.
Let your AI check and repair the setup files behind your other AI tool connections.
Lets your AI write and check Storybook stories for your UI components.
Lets your AI look up Bugsnag errors, stacktraces and events and explain them in plain words.
Let your AI see and control an Android phone or emulator through ADB.
Lets your AI drive Android emulators and phones: take screenshots, tap and type, read logs, and run builds.
Lets your AI check and manage your Apache Airflow workflows for you, right from the chat.
Lets your AI start small, throwaway database servers like Postgres, MariaDB or Redis when it needs one.
Compare a Figma design or screenshot with your live UI and get a plain list of what looks different.
Let your AI search, preview, and create .NET projects from templates just by describing what you want.
Lets your AI review code for bugs, security holes and SQL injections, and write tests or reports.
Lets your AI look up Go packages and their documentation on pkg.go.dev for you.
Let your AI test, score and inspect your n8n workflows, and look up nodes, without touching credentials.
Lets your AI read your Storybook design system and pull out components, HTML, styles and theme tokens.
Ask your AI about your app's traces in Jaeger: slow requests, errors, and which services call which.
Lets your AI read and understand Java code accurately, so it can find real usages, refactor safely, and spot problems.
Lets your AI build, check and fix React and TypeScript code for you, from components to tests.
Lets your AI tidy up your project's AI rules, remember decisions, and show you what AI assets you have.