"Methods for breaking down and thinking systematically about questions" matching MCP servers:

Enables AI agents to synthesize and play short summaries aloud while keeping full answers on screen, with queued speech and stop control using online natural voices or offline synthesis.

Enables AI clients to watch and hear videos from local files or YouTube, Vimeo, and Loom links by returning timestamped key frames, a transcript, a contact sheet, and a combined timeline, with all processing done locally.

Enables Claude Code, Codex, Claude Desktop and Cursor to see and hear MP4/MOV/MKV/WebM videos and screen recordings through timestamped keyframe storyboards, zoom and full-resolution frame drill-down, and a locally generated Whisper transcript. It also works with recording bundles that capture clicks and typed context, and runs entirely on the user's machine with no uploads or API keys.

Gives AI assistants read-only access to a conference stream's live captions and translations, saved transcripts, glossary context, and audience questions, using a developer API key from the portal. It can also be used through a hosted HTTP endpoint at mcp.deafassistant.com, so clients can connect without installing anything.

Provides intelligent transcript processing capabilities for Claude, featuring natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs.

Gives AI agents video perception by turning screen recordings, films and URLs into timestamped structured evidence: ordered UI states and transitions, per-screen OCR, shots, camera motion, palettes, on-screen text and speech, all cached locally with no API keys. Includes drill-down tools to zoom into intervals, crop full-resolution frames, diff two moments, and search on-screen text and speech across everything watched.

Turns a local business's menu, hours, and booking rules from one JSON config into voice-callable tools, so an Alexa+ assistant can answer questions, quote and place pickup orders, check order status, and book appointments with customer confirmation. Works for restaurants, barbershops, salons, and clinics as a self-hosted Streamable HTTP server with a live owner dashboard.

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.

Enables an agent to process local video files and then read, search and inspect the results: timestamped transcripts, on-screen text and key frames as images. Everything runs locally, so an agent can answer questions like how to perform a task shown in a screencast or meeting recording.

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 running Claude Code continuously from Telegram with two-way voice notes, persistent memory, live tool-call progress, scheduled reminders, calendar access, and automatic daemon recovery. It also supports inline-button questions, group/forum threading, model routing, and a Mini App board for monitoring sessions, subagents, and token usage.

A self-hosted MCP server that enables a voice assistant to answer a small business owner's weekly cash questions — bank balances, runway and 13-week forecasts, duplicate or unusual charges, affordability of new hires, spending changes, and importable books — using ten tools backed by deterministic calculations and SQLite memory that persists alerts, reviewed charges, and prior briefs across sessions.

Enables Alexa+ and other voice agents to tell personalized, feelings-aware bedtime stories using a child's saved hero profile, with interactive choices, timed wind-down stories, and optional MP3 narration.

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 voice-first assistants to answer small-business compliance questions for Idaho and New Mexico LLCs, returning short spoken checklists, the next filing deadline, plain-language explanations of terms, and quick website accessibility checks. Every fee and rule is cited to a statute or official source, and unsupported states or unverified details are labeled unknown.

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.

Enables AI agents to place approved outbound calls to Indian (+91) phone numbers, deliver a message, and ask up to 8 questions in Hindi, English, or other Indian languages, then return a summary, per-question answers, transcript, and recording link. Also lets agents check remaining minutes and review recent call history.

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 watching videos with an AI coding agent that transcribes, prepares concepts and visuals, and answers questions in context of the video. Provides MCP tools for transcript reading, concept mapping, artifact building, and interactive Q&A synchronized with playback.

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 MCP clients to ask natural-language business questions over a retail dataset, keep multi-turn conversations, receive spoken text with structured cards, generate weekly briefs, and submit corrections for improved answers.

Enables AI assistants to place real phone calls, engage in spoken conversations across 12 languages, and report the outcomes for tasks like booking appointments, answering questions, negotiating, or confirming orders.

Enables MCP-capable AI assistants to run live interview or discovery calls by loading Markdown question lists, starting and stopping local transcription, tracking answered questions, adding follow-ups, and saving or reading call transcripts and results.

Enables Alexa+ to run spoken mock technical interviews by parsing a candidate's resume and target job description, generating tailored questions, and scoring each answer against Bar Raiser rubrics via Amazon Bedrock. It also produces a session report with score breakdowns, weak topics, and a concrete practice plan.

Enables MCP clients to analyze short-form videos into scenes with transcripts, beats, levers, and holds, and to quickly screen videos for production, voice, and custom questions.

Enables users to drive Claude Code around the clock from Telegram chats, with two-way voice notes and transcription, inline-button questions, scheduled reminders, and Google Calendar access. It keeps conversation memory and history across restarts, supervises itself with a self-healing daemon, and streams each tool call live so long-running agent work can be followed from a phone.

Enables users to ask spreadsheet questions out loud and receive spoken answers with traceable cell provenance, making tables navigable by voice for blind and low-vision users. It infers table structure, supports querying, comparing, bookmarking, and explaining answers without requiring cell-by-cell traversal.

A drop-in upgrade to the official Claude Code Telegram plugin that lets you drive Claude Code 24/7 from Telegram with two-way voice notes, persistent memory across restarts, scheduled messages and reminders, calendar access, inline-button questions, and restarts handled by a self-healing daemon. It also streams live progress through Agentic Mode and a /agents board showing every session, subagent, token use, and tool call as it runs.