"JetBrains YouTrack issue and project tracking tool" matching MCP servers:

MCP server for transcribing audio and generating structured customer requirement meeting minutes (including flowcharts) using Whisper and AI backends, with export to md/html/pdf/docx and model/settings management.

MCP server that provides a transcribe_audio tool to convert voice messages from channels into text using OpenAI Whisper, enabling Claude Code to process audio attachments.

Enables text-to-speech synthesis through a streaming, GPU-accelerated gateway, exposing a single tool that returns playable WAV audio with configurable voice and speed.

Enables voice-first shared household expense tracking through Alexa+, letting flatmates record purchases, check balances, and settle debts in the fewest payments.

Transcribes meeting recordings with speaker diarization and automatic speaker identification, leveraging project context to generate minutes. Supports various ASR engines and offers privacy-preserving local processing.

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.

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

MCP server for a Polish language tutor that provides interactive exercises, concept explanations, pronunciation practice, and progress tracking using a local LLM and a knowledge graph.

This MCP server enables local-first video subtitle processing on Windows, offering tools for transcription, subtitle formatting, SRT/ASS export, FFmpeg rendering, and Kdenlive project creation without cloud APIs.

MCP server that enables audio transcription from files (wav, mp4, mp3, flac) or microphone recording, with dynamic tool selection and enterprise-grade security.

A Model Context Protocol server that provides voice-AI session management and usage tracking tools for SpekoAI. It enables creating, retrieving, and ending voice sessions while monitoring usage through MCP clients like Claude Desktop.

Local speech recognition MCP server powered by FunASR and SenseVoice. It provides privacy-friendly audio transcription through a transcribe_audio tool.

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.

Enables driving a Claude Code session directly from WhatsApp over a linked device or the official Cloud API, with bidirectional messaging, media attachments, local voice transcription, per-group personalities, and context recovery after restarts. Adds pairing-code access control, allowlists and group policies, plus remote approval or denial of tool permission prompts via emoji reactions — no API keys, no Docker.

Enables Claude to run a structured learning program by selecting topics, delivering lectures to a local site, reading and grading answers, tracking progress, and closing completed topics. It also serves a localhost website for viewing the curriculum and progress.

MCP server wrapping the ownvoice CLI as a single generic run tool for voice/identity checks.

Enables users to run and control Claude Code from Telegram around the clock, with two-way voice notes, persistent memory across restarts, scheduled reminders, and a live view of each tool call as it runs.

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 AI agents to narrate internal thoughts, announce tool actions, and speak final responses aloud through local cross-platform text-to-speech. It exposes dedicated audio tools over stdio JSON-RPC for MCP-compatible clients.

Lets users run and supervise Claude Code from Telegram, with two-way voice notes, persistent memory, scheduled reminders, calendar access, and live visibility into tool calls while the assistant works.

Enables users to run Claude Code 24/7 from Telegram with two-way voice notes, persistent memory across restarts, scheduled messages and calendar integration, live tool-call progress, and a self-healing daemon.

Enables users to run and control Claude Code from Telegram around the clock, with two-way voice notes, persistent memory across restarts, live tool-call progress, scheduled reminders/calendar, and daemon-backed session management.

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.

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 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.

Run Claude Code sessions 24/7 from Telegram with voice notes both ways, persistent memory across restarts, live tool-call progress, scheduled messages, calendar access, and a self-healing daemon.

Enables Claude to process screen recordings by transcribing speech with timestamps, tracking the mouse pointer, and retrieving synchronized report text and frame images for selected moments.

MCP server for controlling a Nabaztag rabbit's ears, LEDs, and voice pipeline, enabling AI tool-use via Claude Desktop/Code.

Serves a single set of typed, validated tool definitions to MCP clients over stdio, letting them perform real actions through one controlled executor. The same definitions power a speech-driven OpenAI tool-calling agent, so voice and MCP clients share identical, validated capabilities.