"Construct 3" matching MCP servers:

Enables local text-to-speech synthesis for Claude and Cursor using Supertonic 3, with support for multiple voices, expressions, and languages. No API key or cloud required.

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 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.

Enables AI agents to interact with a personal Telegram account via MCP, offering tools for reading and searching chats, summarizing unread messages, sending and editing messages, handling files and voice transcripts, and managing groups and channels, with read-only mode by default.

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

Enables MCP clients to transcribe audio/video files locally, generate SRT subtitles, and burn captions into videos via tool calls, without a cloud API.

A cross-platform MCP server that enables Claude to speak using Microsoft Edge TTS with support for over 300 voices across 50+ languages. It requires no API keys and allows for customization of speech rate, volume, and pitch.

Enables AI agents to join online meetings as a silent guest, record audio locally, generate transcripts with timestamps via faster-whisper, and manage recordings through MCP tools.

Remote MCP server that exposes Google Gemini's text, image, video (Veo), and audio transcription capabilities as tools any MCP client can call directly.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

Enables probing, ingesting, transcribing, and searching Bilibili videos with timestamped evidence and frame extraction, without reading browser cookies.

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.

An MCP server that enables AI assistants to automatically generate vertical 'brainrot' style videos with text-to-speech voiceovers, synchronized subtitles, and custom SVG overlays.