"Writing about MCP" matching MCP servers:

MCP Server for automated conversational phone calls using Asterisk with Speech-to-Speech capabilities, allowing users to make phone conversations as easily as writing a prompt.

Enables Claude to drive the OpenUtau singing synthesizer: writing melodies and lyrics in English and Japanese, picking singers and phonemizers, checking pronunciation, editing pitch and expression curves, playing back, and exporting WAV/MIDI. File-based tools also let it build and edit .ustx projects and import .ust files while the app is closed.

Lets Claude, Cursor, ChatGPT or any MCP client build AI voice agents, place calls and read transcripts, without writing HTTP 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 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 summarize, take notes on, and answer questions about YouTube, Bilibili, and Xiaohongshu videos by providing subtitles and local speech transcription with timestamps via MCP.

Exposes MCP tools that let an AI companion control Bluetooth adult toys: setting vibration intensity, running patterns, drawing or writing on a synced canvas so the toy follows the pen, speaking with audio-driven vibration, and listening to or replaying the user's reactions. It works across multiple toy brands via a phone-based Bluetooth relay and a browser remote panel.

Enables AI assistants to read Bilibili, YouTube, and local videos by supplying subtitles, speech transcription, and sampled frames with timestamps, so users can ask about content, verify on-screen details, and continue with follow-up questions. Also provides a general queue and history plus a Scroll workflow that logs into a separate Bilibili account for personalized recommendations, inbox messages, forwarded videos, and authorized delivery.