ZBS Index What actually exists in applied AI, with the source next to it

mcp server

ffvoice

Offline speech-to-text & speaker diarization MCP server: transcribe audio on-device, no cloud

Description as published by the maintainer. Source

  • version 0.8.3
  • slowing
  • voice

slowing — Most recent push to the repository was 2026-05-19. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 3 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-05-19 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 0.8.3 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-05-19 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-05-19 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub

Where to get it

Related, by what their authors tagged them

  • io.github.analyticsinmotion/mcp-listen — last commit 2026-08-05, shares audio-processing, speech-to-text
    Give your AI agents the ability to listen. Microphone capture and speech-to-text.
  • io.github.decibri/mcp-listen — last commit 2026-08-05, shares audio-processing, speech-to-text
    Give your AI agents the ability to listen. Microphone capture and speech-to-text.
  • Image Tools - Background Removal, Upscaling & Face Restoration — last commit 2026-08-03, shares speaker-diarization, speech-to-text
    Background removal, 4x upscaling, and face restoration via GPU
  • NLP Tools - Sentiment, NER, Toxicity & Language Detection — last commit 2026-08-03, shares speaker-diarization, speech-to-text
    Toxicity, sentiment, NER, PII detection, and language identification tools
  • Speech AI - Pronunciation, STT & TTS — last commit 2026-08-03, shares speaker-diarization, speech-to-text
    Pronunciation scoring, speech-to-text, and text-to-speech for language learning
  • dev.waxberry/live-translate-mcp — last commit 2026-06-17, shares speech-to-text, whisper
    MCP server for local speech translation (EN ↔ 中文) via Whisper + Claude + Piper
  • dev.voicemode/voicemode — last commit 2026-08-05, shares whisper
    Natural voice conversations for AI assistants - STT/TTS via MCP
  • macOS-only MCP server that exposes iMessage chat — last commit 2026-08-06, shares whisper
    macOS-only MCP server that exposes iMessage chat.db to Claude and exports per-chat history to an…
  • yt-mem-ai — last commit 2026-08-02, shares whisper
    Local YouTube memory: transcribe, embed and search videos, with summaries and highlights.
  • Speko AI — last commit 2026-08-05, shares speech-to-text
    Manage Speko voice-AI agents, sessions, calls, phone numbers, knowledge bases, evals, and docs.

These share tags the maintainers applied themselves, such as audio-processing, speech-to-text, speaker-diarization, whisper. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: ai, ai-agent, audio-processing, claude, cpp20, machine-learning, mcp, mcp-server, model-context-protocol, noise-suppression, offline-asr, python, real-time-transcription, rnnoise, speaker-diarization, speech-recognition, speech-to-text, subtitle-generation, vad, whisper.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. chicogong/ffvoice-engine on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.