"Running queries in Apache Superset" matching MCP servers:

Enables an Alexa+ host to place and manage customer-care calls by building a case, navigating phone menus, waiting on hold, explaining the issue, guarding sensitive disclosures, handing off identity checks, recording ticket numbers and promises, and scheduling follow-ups.

Enables voice-driven family check-ins and safety escalation through five MCP tools over Streamable HTTP, recording check-ins, scheduling recurring reminders with grace windows, detecting missed check-ins, raising critical help alerts, and resolving them from a live dashboard. All reads and writes flow through these tools into a SQLite store, with safety rules ensuring explicit help requests override upbeat wording and never duplicate or downgrade alerts.

Enables real-time full-duplex voice agents to classify user interruptions, backchannels, and acoustic echo, and to arbitrate turn-taking with context rollback via MCP.

Enables real-time voice agents to arbitrate full-duplex speech by classifying user interruptions, backchannels, and acoustic echo while supporting context rollback.

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.

Lets AI assistants understand what you're working on — current screen content, recent dictation, clipboard, and saved notes — running entirely on your own machine with nothing sent to the cloud.

MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.

Enables AI assistants to transcribe links (YouTube, Google Drive, Dropbox), list and search your recordings for spoken words and moments, and read transcripts in json/txt/srt/vtt, summaries and metadata. It also lets them request new summaries and delete recordings, all through your own account with API-key or OAuth sign-in.

Enables transcription of local audio files and YouTube links in over 40 languages, including translation between supported languages and English, by calling an already-running Nemotron 3.5 Transcribe endpoint. Long recordings are automatically split at pauses and processed piece by piece, with optional speaker repetition at joins.

MCP server for the AssemblyAI API, providing tools for transcription, subtitles, speaker turns, word search, and LeMUR-based queries.

Enables MCP-compatible LLMs to control Amazon Alexa devices, including announcements, voice commands, smart-home group management, routines, media playback, and sensor state queries.

Provides VOICEVOX text-to-speech as an MCP tool. Requires a running VOICEVOX engine on localhost.

Enables any AI to place real phone calls in Spain and Mexico with an AI voice agent, then retrieve call status, summaries, collected data, and transcripts.

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 adaptive jitter buffering and packet loss concealment for real-time voice streams, ensuring smooth audio playout in unstable network conditions.

Provides voice summaries after each AI request in Cursor, Cline, or any MCP-supported editor, allowing users to hear what was done and stay informed without staring at the screen.

Enables assistants to open scripts in a centered, multilingual reader with direct paste, locale-aware word tracking, manual sentence navigation, pause/auto-scroll, and optional browser or OpenAI speech recognition.

A self-contained daemon that watches a directory, transcribes anything that lands in it, and presents the results to any AI agent through a standard protocol — no cloud, no subscriptions, no vendor lock-in.

Enables running Claude Code around the clock through Telegram, with voice notes exchanged in both directions, a self-healing daemon that keeps sessions alive, memory and history preserved across restarts, and a live view of every tool call as it happens.

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 MCP clients to speak by running local voice models using Chatterbox Turbo TTS or Kokoro TTS, with support for voice cloning, paralinguistic tags, and multiple voices.

Enables deterministic psychoacoustic modeling of dichotic hearing thresholds, interaural phase differences, brainstem processing scores, and cocktail-party speech-in-noise intelligibility through JSON-RPC tools.

This MCP server enables running Claude Code 24/7 from Telegram, with two-way voice notes, persistent memory across restarts, live tool-call updates, scheduled messages, and daemon-managed uptime. It also supports inline approvals, group/forum interactions, and long-form replies.

Bridges a running GPT-SoVITS API into MCP clients for local speech synthesis with reference-audio emotion mapping, dialogue WAV stitching, voice and status inspection, and bounded audio resource retrieval over stdio or Streamable HTTP.

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.

Enables AI agents to speak and listen in real-time with interruption handling, using local ML models and hot-swappable adapters.

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 running Claude Code continuously from Telegram, with two-way voice notes, persistent memory across restarts, a self-healing daemon, and live progress showing every tool call as it happens. Also supports scheduled reminders, calendar access, inline-button prompts, message history search, and a Mini App board for monitoring sessions and token use.

Enables screen-free family play through a voice assistant by secretly generating a solvable whodunnit set in the household's own named rooms, or locking in a yes/no guessing target, and revealing answers only through governed tools. Keeps every culprit, clue, and secret in server-side SQLite, enforcing question counts and accusation limits so the spoken host can narrate without knowing the solution.

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.