"Information about the programming language Rust" matching MCP servers:

Enables an AI assistant to place user-approved phone calls in the callee's language through your own Bland or Twilio account, with language detection, script generation, cost estimates, and safety guard rails. Includes a preview-then-confirm gate, plus call status, transcripts, and summaries.

Enables AI assistants to download YouTube videos and transcribe them locally using OpenAI's Whisper speech recognition model.

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 hair colourists to capture a client's colour formula by voice, retrieve it on the next visit, and scale the mix to today's bowl, with per-client memory and clarification when names are ambiguous.

Enables progress-triggered text-to-speech in Cursor Agent, with speak and stop controls and voice matching the system UI language.

Enables MCP clients such as Claude Code, Codex and Cursor to retrieve timestamped transcripts of public YouTube videos, either from cache, from native captions, or via asynchronous audio-generation jobs that are polled by job ID. It returns the source URL, selected language and millisecond-offset segments without summarizing the video itself.

Enables local audio and video transcription via the audiototext engine, returning detected language, full text, and timestamped segments.

Enables AI agents to manage phone numbers, send/receive SMS, and place voice calls through natural language, connecting to the phone network via the AgentPhone API.

Provides speech recognition (STT) and synthesis (TTS) tools via the Sber SaluteSpeech API, enabling audio transcription and voice generation through natural language.

Analyze an hour-long YouTube video sentence by sentence in three minutes, and extract the information you need from the screen. Open-source local MCP server for AI clients.

An MCP (Model Context Protocol) server that provides seamless integration between Fish Audio's Text-to-Speech API and LLMs like Claude, enabling natural language-driven speech synthesis.

Enables MCP clients to place real phone calls to businesses in the US and Canada, navigating phone menus, waiting on hold, asking the agent mid-call for information, and returning structured answers with transcripts. Supports booking, quotes, cancellations, and multi-business calls in parallel.

Provides read-only access to local voice-to-text transcription history from the SayAll wireless mic app on macOS. Enables MCP-compatible assistants to query and paginate past transcripts by time and app with strong privacy boundaries.

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.

Enables small online store owners to run a Shopify or WooCommerce shop by voice through Alexa+, answering questions about sales and stock while executing confirmation-gated actions like shipping orders or drafting supplier messages. Destructive or large-impact writes require a spoken code and are recorded in an audit log.

MCP server that transcribes local media files and URLs via Deepgram, writing Markdown transcripts to disk with strict per-job cost ceilings and caching. It also provides a CLI and optional transcript formatting through a language model.

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 spoken questions about disease outbreaks reported to India's IDSP, returning short read-aloud answers on what's circulating, where diseases hit hardest, seasonal peaks, and trends across 16 diseases and 764 districts. It also tells users when data is too sparse to forecast instead of guessing.

A self-hosted MCP server that lets a homeowner give sitters, dog walkers, and family short spoken pass codes so whoever is home can ask Alexa+ about notes, routines, and emergencies and hear only the parts they're allowed to. Unanswered questions are routed to the owner, who replies by voice, and the answer is saved as a shared note for next time.

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

Enables MCP clients such as Claude Desktop, Cursor, and Cline to synthesize speech and singing with natural-language pitch and emotion tags, search and switch character voices and engine models, and transcribe audio through the Fish Audio API.

Give your AI agents the ability to listen. Microphone capture and speech-to-text tools for MCP-compatible agents.

Enables an Alexa+ agent to place business calls on the owner’s behalf, disclose that it is an AI, enforce spending limits with owner approval, and book only when a clean yes confirms the read-back terms.

Enables hands-free voice collaboration with a coding agent: you speak requirements aloud and hear only short, plain-language progress and completion summaries while the agent edits code, runs tests, and fixes bugs in the background. It also handles continuous speech recognition with automatic turn detection, barge-in interruption, and spoken approval prompts before risky operations.

Enables users to prepare and conduct phone calls for errands, gathering context before dialing and looking up missing information through connected tools during the conversation.

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

Enables AI assistants to summarize, take notes on, and answer questions about YouTube, Bilibili, and Xiaohongshu videos by providing subtitles and local speech transcription with timestamps via MCP.

Enables LLMs 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 multi-language conversations.

Enables Arabic- and English-speaking newcomers to a US city to find halal and Middle Eastern food, mosques, groceries and clinics, get daily prayer times, learn the exact English for everyday situations, and generate a seven-day settling-in plan, all by voice. Every result returns structured content plus a ready-to-read speech string in the user's language.

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.