"A customizable and widely supported Minecraft server" matching MCP servers:

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

Enables voice assistants to find nearby service providers, connect users to live video representatives for natural conversation, and handle appointment booking. It also returns confirmed bookings so the assistant can add them to its calendar.

Enables MCP-capable chat clients to synthesize speech from text, convert it with a local RVC voice model, and render the result in an inline audio player.

Enables AI clients to watch local video files or YouTube/Bilibili and other supported URLs, receiving timestamped transcripts, subtitles, searchable text and keyframe contact sheets. Runs fully offline with local speech recognition and bundled ffmpeg, so no API key or cloud upload is needed.

Enables MCP clients to fetch supported languages and limitations, assess pronunciation from audio against reference text in ten languages, and explain returned assessment results locally.

Translate PDF, Word (DOCX), Excel (XLSX) and PowerPoint (PPTX) files, images, subtitles and text. Turn audio and video into transcripts or translated subtitles. Preserve layout where supported. Requires an Equalang API key and credits.

Enables transcription of local audio files and YouTube links in over 40 languages, including translation between supported languages and English, by calling an already-running Nemotron 3.5 Transcribe endpoint. Long recordings are automatically split at pauses and processed piece by piece, with optional speaker repetition at joins.

Provides access to Voxtral TTS voice and TTS workflows, FAQ, and official links via MCP. Enables AI clients to retrieve supported voices, languages, and TTS configuration without API keys.

Enables AI apps to transcribe local audio and video files on the user's own GPU, producing SRT/VTT subtitles and text without cloud uploads. It also helps find media files, list available devices, and list supported languages and models.

Enables agents on Windows to inspect video and audio evidence by returning adaptively selected frames, subtitles or optional local ASR transcriptions, timestamps, and processing status from local files or supported URLs.

Enables text-to-speech synthesis using Coqui TTS with multiple models and languages, long-text chunking, customizable speed and speaker settings, and voice cloning from reference audio.

A Model Context Protocol server that integrates with AivisSpeech to enable AI assistants to convert text to natural-sounding Japanese speech with customizable voice parameters.

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.

Provides text-to-speech capabilities through the Model Context Protocol, allowing applications to easily integrate speech synthesis with customizable voices, adjustable speech speed, and cross-platform audio playback support.

Enables supported local AI clients to control a visible desktop presence through bounded presentation tools such as animations, window control, and short local speech over a loopback endpoint, without granting decision or execution authority.

Provides voice summaries after each AI request in Cursor, Cline, or any MCP-supported editor, allowing users to hear what was done and stay informed without staring at the screen.

Enables ChatGPT on the web to generate and play spoken audio through an embedded player, exposing a speak tool that renders text with selectable styles and scenes via configurable text-to-speech providers. It routes each request across ElevenLabs, Cartesia, Azure Speech, and DashScope in a configured failover order, picking providers by language and scenario.

Enables LLM applications to make voice calls and send SMS messages through the Vonage API, allowing AI assistants to perform real-world telephony operations with support for speech recognition and customizable voice parameters.

Enables an AI agent to read and send real iMessages—including text, voice notes, stickers, links, images, and reactions—through a managed cloud phone line without needing a Mac.

Enables voice-driven control of live TouchDesigner visuals through supported MCP tools, including saved looks, intensity and glow adjustments, performance moments, and previous-look recall.

A lightweight MCP server that converts text to speech using MiniMax TTS API, exposing a generate_speech tool for AI to speak with customizable emotion, speed, and language.

Enables AI assistants to synthesize speech using a custom cloned voice through MiniMax TTS and present it in an inline audio player with waveform visualization and transcript controls.

Enables AI agents to transcribe Instagram Reels into text by providing a tool that accepts a Reel URL and returns the speech transcript along with metadata such as author and duration.

Enables AI assistants to convert text to speech using Microsoft Edge's Text-to-Speech service with customizable voice options, speech rate, volume, and pitch parameters.

Enables shopkeepers to manage a credit ledger by voice in Hinglish—adding udhaar, recording payments, checking balances and top defaulters, drafting WhatsApp reminders, and mapping nicknames to customers.

Enables small dairy and crop farmers in India to talk to a voice-friendly farm ledger, with every number verified rather than guessed. It is a self-hosted MCP server over Streamable HTTP, planned to run on AWS Lambda with DynamoDB and Amazon Bedrock.

Self-hosted WhatsApp management over Model Context Protocol, exposing a streamable HTTP MCP endpoint with 30 tools for session/QR pairing, messaging, media storage, and optional on-CPU voice note transcription via whisper.cpp.

A self-hosted MCP server that connects AI clients to local media-generation backends like ComfyUI and Blender, and provides built-in utilities for video/audio analysis, editing, subtitles, speech, and scene detection via a persistent file cache.

Enables AI assistants and MCP clients to ingest audiovisual media from local files or yt-dlp-supported URLs, producing timestamped transcripts and scene-selected keyframes with exact-frame drill-down and transcript search.

Enables voice-driven control of a virtual Micro Duck through MCP tools for actions such as nodding, walking, turning, stopping, status checks, flash steps, and bear shakes, with animation preview and robotd/MuJoCo simulation backends.

Enables Poke to trigger outbound AI phone calls through Vapi telephony, using a stateless server with installer-owned credentials.

An MCP server that converts text into lifelike speech using Microsoft Edge's Text-to-Speech service, supporting customizable voice, rate, volume, and pitch.

Enables speech-to-text and text-to-speech conversion using OpenAI-compatible APIs. Supports customizable models, voices, and output directories.

A multi-provider voice notification MCP server that enables Claude Code to provide auditory alerts for task completions, confirmation requests, and errors. It supports various TTS engines including VOICEVOX, Google Cloud TTS, and OpenAI for customizable voice feedback.

Enables a Claude Code session to send and receive WhatsApp messages through either a linked-device pairing or the official Cloud API, including media, local voice-note transcription, and @-mentions. It also gates inbound chats with pairing codes, allowlists and per-group policies, and lets users approve or deny tool requests with an emoji reaction.

Enables a Claude Code session to send and receive WhatsApp messages from a linked personal account or the official Cloud API, including photos, voice notes and documents, with local voice transcription and allowlist-based access control. It also lets users approve or deny Claude's tool requests remotely by emoji reaction and keeps per-chat personalities, cron jobs and conversation context across restarts.

Enables clients to browse available voices, generate speech audio from text or supported SSML, and produce UK English output via a convenience tool, while keeping API credentials server-side.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

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.