About Chatty MCP
Chatty MCP is an MCP server for AI coding editors such as Cursor and Cline. It announces completed requests aloud and summarizes their results, with configurable speech engines.
Key features
- 01Spoken completion announcements
- 02Voice summaries of editor output
- 03Configurable speech engines
Use cases
- 01Hear when a long editor request finishes
- 02Review AI-generated changes by listening
MCP support
It provides voice announcements and summaries for requests handled by MCP-supported editors.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEChatty MCP
Oh, hello there! Meet Chatty MCP, your new best buddy who loves to chat out loud! After every request in Cursor, Cline, or any MCP-supported editor, it will speak up and summarize what was just done. Not only will you know when your long request has completed, but you can also use another sense to quickly understand what the editor produced, integrating deeply with your workflow for a better coding experience.
Check out our main website for documentation, demos, and configuration: https://chatty-mcp.vercel.app/

Why?
- Waiting for Cursor to complete your requests can be tedious - you're just staring at a black screen. With Chatty MCP, you can Alt+Tab to another window while Cursor is thinking, and return when you hear the voice announcement.
- You don't need to read everything produced by your AI - just listen to the summary and quickly decide if it's going in the right direction, then make adjustments as needed.
- Having your computer interact with you by voice is an interesting coding experience.
Additionally, this gives you the ability to customize the voice. Use your system's built-in TTS for convenience, Kokoro TTS for smooth and natural voice output, or even Fish TTS for anime-style voices in the future.
How to Get and Configure Chatty
I don't like extremely long READMEs as documentation, so visit our site for everything you need to know: https://chatty-mcp.vercel.app/docs/welcome
Note
For Kokoro ONNX model to work, you must download the Kokoro model and place it in the correct directory. Check the documentation's Speech Engine section for more information.
Made with 💖 by folks who believe every computer needs a voice!
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.