# Change Case Engine MCP for AI Agents AI Agent Connect > Change Case Engine MCP lets you swap text between 12 different naming conventions like snake_case, camelCase, and kebab-case. It handles the annoying edge cases that usually trip up your AI agent, making sure your code and data stay consistent across different platforms and languages. It's the fastest way to ensure your naming conventions stay perfect without manual editing. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_FXVSW61IvD4b2pwrwEYAKkn3wkfXlcV4A1u4Wqio/ai-agent-connect - **Tags:** string-manipulation, code-formatting, naming-conventions, text-transformation, developer-utility ## Description The Change Case Engine MCP lets you handle text formatting without the headache of manual renaming or inconsistent AI outputs. You're likely building a project where different parts of your stack demand different rules. Your Python backend needs snake_case, but your React components require PascalCase, and your CSS files need kebab-case. It's easy for an AI agent to mix these up, especially when dealing with tricky words like acronyms or complex symbols. This Connector removes that friction by providing a reliable way to snap any string into the correct format instantly. Because it's built on the industry-standard change-case package, it treats your text with the precision you expect. When you add this to your setup through the Vinkius catalog, your agent stops guessing and starts producing production-ready strings. You get consistent code, fewer linting errors, and more time to actually build features instead of fixing typos in your variable names. ## Tools ### change_case Converts text between 12 different naming styles like snake_case and camelCase. It handles complex strings accurately. ## Prompt Examples **Prompt:** ``` Convert 'user login count' to snake_case for my Python backend. ``` **Response:** ``` Result: **user_login_count** I've converted that to snake_case for you. It's now ready to use as a Python variable or database key. ``` **Prompt:** ``` Turn 'Product_List_Update' into camelCase. ``` **Response:** ``` Result: **productListUpdate** Here is the camelCase version. This should work perfectly for your JavaScript objects or API responses. ``` **Prompt:** ``` Make 'API_Key_Value' into kebab-case for a CSS class. ``` **Response:** ``` Result: **api-key-value** I've formatted that into kebab-case. You can now use it as a standard CSS class name. ``` ## Capabilities ### Convert text to snake_case Turn any string into a valid Python-friendly naming convention instantly. ### Format text for kebab-case Format text for CSS classes or URLs without manual editing. ### Create PascalCase names Format component names or classes for React and other frameworks. ### Format environment variables Turn human-readable phrases into valid CONSTANT_CASE system keys. ### Normalize file paths Convert names into pathCase for consistent directory structures. ### Apply sentenceCase Clean up raw data into readable sentence formatting. ## Use Cases ### Fixing React component naming An agent generates a component in camelCase, but you need PascalCase. Ask it to fix the name using change_case. ### Preparing Python variables You have a list of labels in Sentence case and need them as snake_case for a backend API. Let the agent convert them in bulk. ### Generating CSS classes Turn a list of product attributes into kebab-case for a stylesheet to ensure your styles are consistent. ### Mapping database keys Convert inconsistent user-provided data into dotCase for a configuration file to keep your settings organized. ## Benefits - Stop fixing linting errors: Use change_case to ensure your AI agent always outputs code that follows your specific style guide. This means fewer failed builds and less time spent on trivial formatting issues. - Handle edge cases: This Connector correctly processes acronyms and special characters that usually break manual renaming. It handles the messy bits so you don't have to worry about "HTML" or "API" strings. - Multi-language support: Quickly switch between snake_case for Python and camelCase for JavaScript without manual typing. It makes it easy to move between different tech stacks in the same project. - Clean environment variables: Use CONSTANT_CASE formatting to turn messy descriptions into valid system keys instantly. It's perfect for creating .env files that actually work with your deployment scripts. - Consistent file paths: Generate pathCase strings to keep your project's directory structure uniform and predictable. This prevents issues with mixed-case folders that can break some build tools. ## How It Works The bottom line is that your AI agent gets a reliable way to handle naming conventions without making mistakes. 1. Tell your AI agent which naming convention you need for a specific task. 2. The agent calls the change_case tool with your text and the target format. 3. You get back a perfectly formatted string ready to paste into your code. ## Frequently Asked Questions **Can the Change Case Engine MCP handle acronyms?** Yes, it handles tricky characters and acronyms correctly so your naming stays consistent across your project. **What naming styles does the Change Case Engine MCP support?** It supports 12 styles including snake_case, camelCase, PascalCase, and kebab-case, covering almost every standard convention. **Can I use the Change Case Engine MCP for my CSS files?** Absolutely. It's great for turning any text into kebab-case for class names, which is the standard for most stylesheets. **How does the Change Case Engine MCP help with Python code?** It ensures your AI agent always uses snake_case for variables and functions, which keeps your backend code compliant with PEP 8. **Does the Change Case Engine MCP work with React?** Yes, it can quickly convert strings to PascalCase for your components, helping you keep your frontend components consistent. **Is the Change Case Engine MCP accurate?** It's based on a standard package with millions of downloads, so it's very reliable and handles complex strings much better than a simple regex. **What formats are available?** 12 formats: camelCase, capitalCase, constantCase, dotCase, kebabCase, noCase, pascalCase, pascalSnakeCase, pathCase, sentenceCase, snakeCase, trainCase. **Does it handle acronyms correctly?** Yes. The change-case library intelligently handles acronyms, unicode characters, and complex word boundaries that LLMs typically fail on.