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Hear spoken summaries after each AI request in MCP-supported editors.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Chatty MCP" yet — see the docs or source repo.
Use Chatty MCP in Cursor: after every time I ask the AI to change code, generate a short voice summary explaining which files were modified, what was completed, and whether anything is still pending.
After each coding request, a concise spoken summary is played so the user can quickly understand changes and next steps.
Enable Chatty MCP in an MCP-supported editor. Whenever the AI finishes a task, provide a voice summary of current progress, completed work, and recommended next steps so I can stay informed during meetings.
The system gives spoken progress updates at the end of each task, letting the user stay informed without looking at the screen.
Use Chatty MCP: after the AI organizes documents or summarizes content for me, immediately provide a voice recap of what was organized, which key points were extracted, and whether I need to confirm anything.
Each document-related request is followed by a spoken recap summarizing results, key information, and any items needing confirmation.
Connect MCP clients to basic tools and customizable prompts.
Search and summarize chat messages to extract key points and actions.
Help MCP clients remember preferences and retrieve key context across chats.
Chat with AI to retrieve documents and trigger MCP-powered tools.
Turn text summaries into speech and play them in the background anywhere.
Delegate coding, shell tasks, and codebase queries to Cursor AI.