"A command-line fuzzy finder" matching MCP servers:

Fast MCP Telegram — Production-grade Telegram MCP server with direct MTProto API, multi-user ACL, dual transport (stdio + HTTP SSE), voice transcription, and context-optimized design. One-command setup with uvx fast-mcp-telegram

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.

Enables real-time transcription and heuristic vocal stress analysis of live financial webcasts, providing an LLM with rolling transcripts and a stress score.

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

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.

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 local-first audio/video analysis by downloading media, transcribing it, and returning structured labels for topics, sentiment, sensitivity flags, and a publish/review/block gate.

Enables MCP clients to submit completed speech or typed text to a self-hosted decision engine and receive judgments such as ordinary speech, command, retained thought, uncertainty, or no action, along with session and decision inspection.

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.

Enables MCP clients to manage AI voice assistants, place calls, run campaigns, handle contacts and knowledge bases, and read call transcripts. It also provides account, phone number, dialer, and analytics tools through a hosted or local MCP connection.

Provides live meeting context to an AI assistant during Google Meet or Zoom calls, enabling real-time transcript reading, decision tracking, and actionable advice in a side panel.

Enables AI assistants to place and steer real phone calls through ElevenLabs voice agents: draft a briefing with the number, language, goal and permitted facts, rehearse it in text, confirm to dial, then follow progress, answer the agent's questions mid-call, and retrieve the transcript, duration and cost. Includes guardrails such as a fixed AI disclosure line, per-person call and minute limits, number restrictions and retention-based deletion of calls and transcripts.

Enables interaction with Retell AI's voice and chat agent platform. Build, deploy, and manage AI phone agents, configure conversation flows, handle calls/chats, and manage phone numbers through natural language.

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.

A Model Context Protocol server that enables fast and free lipsync video creation for a wide range of digital avatars, supporting both audio and text inputs to generate synchronized lip movements.

Provides multimodal understanding tools including OCR, image description, audio transcription, UI screenshot analysis, and screenshot comparison via async tools on a multimodal endpoint.

Enables AI agents to provision phone numbers, send SMS, place AI voice calls, and react to inbound events via the Dial communication stack, all through MCP tools.

Enables AI coding agents and MCP clients to generate Giggy text-to-speech audio by listing voices, requesting speech generations, and polling generation status until a downloadable result URL is ready.

Read-only MCP server for Telegram that enables reading messages and transcribing voice, audio, and video notes via the Telegram API for use with Codex and Claude Code.

Screen-aware voice command layer for AI agents that captures screen context and instructions to build agent-ready commands for various tools.

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.

Transcribe any video URL to text with one command, supporting 1000+ sites via yt-dlp and multiple ASR providers.

Enables local, offline, CPU-only transcription of video/audio into timestamped SRT subtitles with Whisper, Chinese TTS dubbing (including multi-speaker dialogue), and synthesis of a new dubbed video in a single command. Supports dubbing silent videos, translating and re-voicing foreign-language videos, and batch-adding narration to short clips within AI workflows.

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 MCP clients to speak text aloud on macOS using the built-in say command, with no external speech API or keys, and to list available voices and control rate or voice selection. Requests from multiple client threads share a single FIFO playback worker, so speech plays one item at a time and can be inspected, stopped, or muted in hold or discard mode.

Exposes a local, hands-free voice room to any MCP client, letting agents read speaker-labelled conversation turns, wait for the next turn, list who is present, and speak aloud through local text-to-speech. Speech recognition, speaker identification and voice output all run on the user's own machine, so agents receive text with speaker names rather than audio.

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 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 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.