"File Editing Tools and Services" matching MCP servers:

An MCP server enabling video processing via natural language: transcription with Whisper, segment cutting with FFmpeg, and file management.

MCP server exposing NaN API media tools (image generation/editing, text-to-speech, speech-to-text, embeddings, reranking) for any MCP-compatible client.

Provides on-device Chinese speech recognition with traditional Chinese (Taiwan) output via MCP server, HTTP API, and CLI, ensuring privacy by processing audio locally without uploading to cloud services.

Integrates OpenAI APIs into MCP-compatible clients, providing tools for text generation, chat completions, model discovery, image creation/editing, audio transcription, speech synthesis, embeddings, and content moderation.

Voice input for Claude Code — speak Vietnamese or English; hold a hotkey, speak, release, and the transcribed text is cleaned and pasted into the input box for editing before sending.

MCP server for Whipscribe — transcribe audio and video from a URL or local file via Claude Desktop, Claude Code, Cursor, Windsurf, or any MCP-compatible client.

Enables AI agents to transcribe, translate, and summarize audio via Zoom AI Services APIs, providing an 'ear' through tools like transcribe_audio, summarize_transcript, and translate_text.

Bitcoin-powered AI tools via Lightning Network micropayments (L402). Image generation, text generation, video, music, speech, 3D models, file conversion, and SMS — no signup or API keys required.

Enables users to transcribe direct audio and video file links using their own Deepgram, AssemblyAI, Groq, or OpenAI key, returning transcripts with timestamped segments, language, and duration through Apify.

Enables AI agents to perform local audio tasks such as speech synthesis, voice cloning, music and sound effect generation, and audio editing through MCP, with GPU models loaded on demand and released after idle.

Provides text-to-speech synthesis using Microsoft Edge's free TTS engine, supporting multiple voices, languages, and audio output options (base64 or file).

Automatically transcribes Google Chat voice messages using Groq Whisper API, and also supports local audio file transcription.

MCP server for text-to-speech synthesis using Azure Speech Services, supporting 6 languages with high-quality neural voices and smart voice selection.

Real-time English ↔ Mandarin Chinese speech translation for Claude. Transcribes audio locally with Whisper, translates via Claude API, and synthesises speech locally with Piper TTS. Pass a WAV file path. Claude handles the rest.

Provides access to Whissle AI services for speech-to-text, speaker diarization, translation, and text summarization. It enables users to process various audio formats and manage text content through natural language tools.

Wraps a set of cloud OpenAPI capabilities — text-to-image generation, streaming speech synthesis, audio file transcription with timestamps and speaker labels, object-storage upload with presigned download URLs, and web/image search — as standardized MCP tools. This lets MCP-capable AI clients such as Claude Code, Cursor, and Cline invoke these services directly through natural language, with per-tool credential configuration.

Enables converting video and audio files into transcripts and Traditional Chinese subtitles using Groq Whisper with a pluggable translation backend, including an English-to-Chinese pipeline and a Chinese-to-Taiwanese-Mandarin proofreading pipeline. Transcriptions run as background jobs whose progress, output subtitle paths, and setup status can be queried through the conversation.

Enables MCP clients to leverage the Intel Arrow Lake NPU for local speech transcription, screenshot OCR, private semantic search, and hardware diagnostics, all processed locally.

MCP server that wraps MiniMax platform APIs (speech, video, image, music, and file management) as tools over stdio, enabling natural language interaction with MiniMax's AI services.

Enables AI assistants to transcribe audio files from URLs or local paths using AssemblyAI's services, with support for speaker diarization, language detection, and asynchronous job management through a standardized MCP interface.

MCP server for text-to-speech using macOS say command, enabling speech synthesis, audio file generation, and voice management.

Provides various AI capabilities through DeepInfra's OpenAI-compatible API including image generation, text processing, embeddings, speech recognition, object detection, and classification tasks. Enables users to access multiple AI models for diverse tasks like generating images from prompts, transcribing audio, analyzing text sentiment, and performing computer vision operations.

Enables advanced audio transcription, text-to-speech generation, and audio processing using OpenAI's Whisper and GPT-4o models with support for multiple audio formats, file management, and parallel processing.

Enables MCP clients to call AgentScope Platform media models for speech synthesis, image generation and editing, audio transcription, and video generation and editing. It also supports media uploads and querying asynchronous task results.

Enables MCP-compatible clients to leverage OpenAI's multimodal capabilities (vision, image generation, speech-to-text, text-to-speech) through file-oriented tools with a security-first architecture.

A MCP server that enables transcription of audio files using OpenAI's Speech-to-Text API, with support for multiple languages and file saving options.

A secure MCP server for Google Gemini AI, providing 39 tools for text, image, video, document, YouTube, research, and more. Runs locally via stdio with API key protection and no third-party services.

Enables Claude to drive the OpenUtau singing synthesizer: writing melodies and lyrics in English and Japanese, picking singers and phonemizers, checking pronunciation, editing pitch and expression curves, playing back, and exporting WAV/MIDI. File-based tools also let it build and edit .ustx projects and import .ust files while the app is closed.

Enables full coverage of the ElevenLabs API through 390 auto-generated tools, handling file uploads for speech-to-text and voice cloning plus raw audio downloads. Supports domain filtering, dry-run guarding of credit-spending calls, and configurable output paths for generated media.

Lets AI assistants manage voice agents, calls, and phone numbers, exposing read and write tools plus spend tools gated behind explicit opt-in.

Windows-optimized MCP server for ElevenLabs text-to-speech and audio processing, with fixed file paths and Cursor IDE integration.

A server providing text-to-speech and speech-to-text functionalities using Windows' native speech services without external dependencies.

Enables AI assistants to manage RetellAI voice services including calls, agents, phone numbers, and voices through natural language.

Enables MCP clients to place, monitor, and hang up phone calls through authenticated tools, retrieve transcripts, and exchange correlated task results with a waiting host. It supports simulated or live calling with persisted call lifecycle records, duration limits, and idempotent requests.

Enables AI agents to submit and manage durable long-form audio transcription jobs, and read or export structured transcripts via MCP tools.

Enhanced MCP server for sending native macOS notifications with terminal-notifier, interactive dialogs, text-to-speech, screenshots, and file selection.

Enables review-first editing of Chinese teaching videos through local ASR, auditable edit proposals, synchronized captions, and FCPXML handoff for Final Cut Pro. Human review and authorization remain required before cuts or exports are applied.

Lets an MCP client read your screen-and-voice recordings — timed transcripts and the frames that matter — so it can write up tasks with screenshots and file them on GitHub Issues, Linear, Jira, Trello, Asana or Azure DevOps. Everything is transcribed locally, so the agent does the AI work on your own subscription.

Local MCP server that enables voice input to Claude by transcribing microphone audio locally using faster-whisper, avoiding cloud services.

Enables voice assistants like Alexa+ to triage suspicious calls, texts, and links, score scam risk, monitor live speakerphone calls with interruptive warnings, verify family safe words, remember repeat-offender indicators, and open cases with remediation steps and ready-to-file incident reports. All tools return structured JSON plus short voice-friendly responses, with zero-network link inspection and multi-region helpline guidance.