"Applications or tools with full local file system access" matching MCP servers:

Enables an AI assistant to author sentence-synced, motion-graphics lessons: it writes and validates lesson JSON, runs example code to verify output, renders 3D illustrations with Blender hotspots, synthesizes multi-voice narration with timing data, and builds a single-file HTML textbook. Supports any subject, from math and science to English and programming.

Enables MCP clients to speak by running local voice models using Chatterbox Turbo TTS or Kokoro TTS, with support for voice cloning, paralinguistic tags, and multiple voices.

An MCP server implementation that integrates with Minimax API to provide AI-powered image generation and text-to-speech functionality in editors like Windsurf and Cursor.

Enables coding agents to generate local GPU-accelerated narration audio from text, with tools for speech generation, job continuation, and model or voice queries.

A lightweight MCP server that provides offline text-to-speech via native OS speech engines. It allows AI assistants to speak task summaries instantly with no network calls.

An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.

A feature-rich MCP server for Discord, giving AI companions full presence in Discord communities — reading, responding, reacting, searching, and speaking.

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 AI agents to synthesize natural speech using either platform system voices or premium OpenAI TTS, with automatic engine selection and graceful fallback.

Enables an AI assistant to have its recent code actions summarized aloud through system speakers, using offline native voices or cloud neural voices. It supports asynchronous playback and voice listing so users can hear what the agent did without reading the full response.

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

Provides high-quality text-to-speech synthesis with 10 natural voices, emotion control, and dynamic pacing for professional applications requiring expressive speech output.

Enables access to a backend's native MCP tools and broader HTTP API for speech generation, voice cloning/design, transcription, dubbing, translation, subtitles, audiobooks, and related batch/long-form workflows over Streamable HTTP or local stdio.

A local stdio MCP server that enables validated access to official ElevenLabs APIs with cost controls, local media storage, and audio export for Godot.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

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.

Provides access to Open Ai21 API services including chatbots (GPT-3.5, Claude 3, Llama 3), text-to-image generation, image background removal, text-to-speech, question answering, and text summarization capabilities.

Enables MCP clients such as Claude, Cursor and VS Code to synthesize speech locally in 31 languages, saving mp3, wav or ogg files, listing and installing catalog voices, and playing audio back through the system player — offline after the first run with no usage limits.

An MCP server that lets an AI assistant turn written text — or prose it writes itself — into narrated audiobooks with chapter-marked .m4b files, using local Kokoro voices entirely offline and free. It supports 54 voices across 9 languages, adjustable speed, voice blending, and chapter-level resumable rendering.

Enables assistants to open scripts in a centered, multilingual reader with direct paste, locale-aware word tracking, manual sentence navigation, pause/auto-scroll, and optional browser or OpenAI speech recognition.

Enables MCP-compatible clients to generate images and videos, synthesize speech, and clone or design voices through MiniMax APIs, with configurable local or URL resource handling.

Enables text-to-speech conversion with smart language detection (using Google TTS for Chinese) and audio file playback with playback controls for Claude Desktop.

Local Korean text-to-speech MCP server using a fine-tuned CosyVoice2 model, enabling voice synthesis directly from Claude or Codex with privacy and no API costs.

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

Enables local Vietnamese ecommerce copy preparation, source-grounded RAG retrieval, offline voice previews, correction-memory feedback, hook review, and fine-tuning dataset preparation without publishing posts or approving audio.

Enables Claude to access Google AI Studio's full Gemini API surface, including text/vision, Nano Banana image generation and editing, Veo 3.1 video with synced audio, and Gemini TTS voiceover.

Enables AI agents to generate narrated videos from topics or scripts, with stock footage, home videos, or local AI clips.

Bridges a running GPT-SoVITS API into MCP clients for local speech synthesis with reference-audio emotion mapping, dialogue WAV stitching, voice and status inspection, and bounded audio resource retrieval over stdio or Streamable HTTP.

Enables agents to control a transparent, always-on-top desktop character window over a loopback-only local HTTP API — applying expressions, motions, parameters and gaze, speaking via TTS or uploaded audio with lip-sync, capturing screenshots, and switching models, window placement and visibility. Everything stays local, so no cloud account or manual token handling is required.

Enables AI agents to ring or text a user's actual iPhone, read a question or update aloud, and return the spoken answer back to the agent as text. Calls and messages land in a single titled thread per agent, with tools for polling results, waiting for replies, and labeling conversations.