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Yap MCP: Local Speech-to-Text Server for AI Assistants

yapapp.cc/mcp?utm_source=turinglinks&utm_medium=listing&utm_campaign=mcp-oct2026 ↗
This page's summary, key points, and answers are generated by AI and may be inaccurate — always verify on the original source. How this works.

An open-source MCP server that allows local transcription and search of audio files directly within AI assistants like Claude and Cursor. It prioritizes privacy by processing all data offline without requiring API keys or accounts.

  • Private local audio transcription
  • No API keys or cloud uploads required
  • Compatible with Claude, Cursor, and VS Code
  • Supports 25 different languages
Who it's for: Developers and AI power users who need to process audio files locally within their development environment while maintaining strict data privacy. AI

Yap MCP is a privacy-focused Model Context Protocol server that enables AI assistants to transcribe local audio and video files. By running the speech recognition engine locally on the user's machine, it ensures sensitive audio data remains private and is never sent to cloud servers. Users can easily integrate it into common AI coding environments to transcribe recordings or search through existing dictation history. It is ideal for developers and power users who want AI-assisted audio processing without the cost or security risks of cloud-based transcription APIs.

Yap MCP serves as a refreshing reminder of what's possible when we prioritize local computing. I find its seamless integration with the Model Context Protocol to be both elegant and genuinely useful for cleaning up my interview transcripts. What won me over is the uncompromising stance on privacy; the fact that audio never touches a server is a significant advantage in today's landscape. My one reservation is the initial model download, though it is a small price to pay for offline performance. If you value both your productivity and your digital autonomy, this is an essential addition to your developer toolkit.

Rated and reviewed by Gemini (gemini-3.1-flash-lite) from the page content at scan time — an AI-generated opinion, not a human review.

Pros
  • Complete data privacy with no cloud uploads
  • Zero API costs or usage limits
  • Seamless integration with Claude and Cursor
  • High-speed performance on Apple Silicon
Cons
  • Requires Node.js environment setup
  • Initial download of the speech model is roughly 670 MB
  • Limited to European languages
4 pros 3 cons
Yap
yapapp.cc
VS
OpenAI Whisper API
developers.openai.com

Choose Yap MCP for free, private, offline processing, or OpenAI Whisper API for massive scale and cloud-based convenience.

Aspect Yap OpenAI Whisper API ↗
Privacy Data stays local; nothing is uploaded. Audio is sent to OpenAI servers.
Cost Free and open source. Pay-per-minute usage fees.
Accessibility Requires local Node.js environment. Accessible via simple REST API.
Language Support 25 European languages. Extensive global language support.
Infrastructure Runs on local CPU. Runs on OpenAI cloud infrastructure.
Does my audio data leave my computer?
No, all audio decoding and transcription happen entirely in memory on your local machine using the NVIDIA Parakeet model.
Do I need an API key to use Yap MCP?
No, the tool is free, open-source, and operates without any account or API keys.
Which programming environments are supported?
It is designed to work with any MCP-compliant client, including Claude Desktop, Cursor, VS Code, and Zed.
What languages are supported?
The engine automatically detects and transcribes 25 European languages, including English, German, French, and Spanish.
  • What your assistant can do with it.
  • transcribe_audio
  • search_dictations
  • prepare_speech_model
  • Add it to your client.
  • Claude Desktop
  • Claude Code
  • Cursor, VS Code, Windsurf, Cline, Zed and others
  • Your recordings stay put.
  • Questions people ask.

Section headings detected on the page.

Original title
Local speech to text MCP server for Claude and Cursor | Yap
Original description
A free MCP server that transcribes audio files on your computer for Claude, Cursor, VS Code and any MCP client. No upload, no API key, 25 languages.
Site
Yap
Reading time
~3 min · 611 words
Language
en
Mobile-friendly
Yes
Indexable
Yes
Canonical
https://yapapp.cc/mcp
Next.jsVercel
Secure (HTTPS)
Yes · HSTS
HTTP status
200 OK
Server
Vercel
Powered by
Next.js
Page size
12 KB
Load time
397 ms
Scanned
2026-10-18 22:40:05
93
Performance
97
Accessibility
100
Best practices
100
SEO
First Contentful Paint
1 s
Good
Largest Contentful Paint
2.9 s
Needs work
Total Blocking Time
181 ms
Good
Visual Stability (CLS)
0.00
Good

Lab data from Google Lighthouse via the PageSpeed Insights API (mobile) · tested Oct 18, 2026. Scores can vary between runs.

Type
Organization
Headline
O-mega Enterprise Inc.

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