"Optimizing and Improving Flutter Application Performance" matching MCP servers:

An MCP server for audio/video transcription using MLX-optimized Whisper models, offering fast performance on Apple Silicon with support for multiple output formats and batch processing.

Enables high-performance, offline transcription of videos from 1000+ platforms and local files using whisper.cpp, with support for multiple model sizes, languages, and output formats over stdio or HTTP.

Enables high-performance audio transcription using Faster Whisper with CUDA acceleration, supporting single and batch audio file processing with multiple output formats (VTT, SRT, JSON).

An advanced MCP server that provides stateful voice-controlled AGI capabilities with local STT, TTS, and intent detection. It enables users to execute tools, manage memory, and conduct research through natural multi-turn dialogue with low-latency performance tracking.

A high-performance speech recognition MCP server based on Faster Whisper, providing efficient audio transcription capabilities with support for multiple model sizes, batch processing, and various output formats.

A local voice interface providing high-performance speech recognition and natural text-to-speech with voice cloning capabilities. It enables AI assistants to speak, listen, and engage in character-based voice conversations through integrated MCP tools.

Feedback ingestion for AI agents. Record your screen and talk; your agent does the rest — files the bugs, writes the spec, builds the backlog.

Enables continuous voice conversation with AI coding assistants by locally transcribing speech with Whisper and delivering utterances as text prompts.

Lets AI assistants understand what you're working on — current screen content, recent dictation, clipboard, and saved notes — running entirely on your own machine with nothing sent to the cloud.

Give your AI assistant eyes and ears — analyze any video, audio, or image, entirely on your machine.

Your agent seeks what search can't find. A self-hosted perception MCP server that transcribes speech, reads behind logins, sees images and video frames, crosses languages, and remembers.

Enables text-to-speech and speech-to-text through MCP tools, using Groq's free hosted endpoints when configured and falling back to fully local keyless models otherwise. Also provides voice listing and provider health checks.

Enables spoken conversations with Claude on a Mac: Claude speaks through speakers, listens to the user's natural replies, and transcribes them locally. No audio leaves the computer, and it includes tools for voice setup and a hands-free voice mode.

Let your AI agent call your phone and talk to you — MCP servers for live, interruptible voice calls + tiered alerts, using free self-hosted pieces (pjsua2 + whisper.cpp + Linphone). No paid telephony, no extra API key.

Turns a YouTube link into a readable, timestamped Markdown transcript by preferring existing subtitles and falling back to local Whisper transcription, with optional Traditional-to-Simplified Chinese conversion and Obsidian-friendly output.

MCP server that enables AI agents to place real Telegram voice calls and speak a message aloud via TTS, with configurable repeats and call handling.

Enables AI video dubbing by letting users submit video URLs for dubbing into Russian, English, or Spanish while preserving original speakers' voices through voice cloning, plus job status and cost estimation tools.

Voice interface for Claude Code: you talk, the agent listens, codes, and talks back while it works. Live speech-to-text with turn-taking, Grok/xAI voices with per-subagent personas, and a real-time HUD dashboard.

Enables transcription of videos and audio from 1000+ platforms (YouTube, Bilibili, TikTok, etc.) using subtitle extraction first, then local Whisper transcription, with support for long videos, async tasks, and Chinese ASR optimization.

Enables AI agents to submit podcast URLs and retrieve clips, trailer, show notes, guest-share link, and transcript via the Clypt API.