"Ways to Improve Thinking Skills" matching MCP servers:

MCP server and agent skills for Tough Tongue AI, enabling handling tough conversations through voice agents, scenario creation, and session analysis.

Enables text-to-speech and speech-to-text through MCP tools, using Groq's free hosted endpoints when configured and falling back to fully local keyless models otherwise. Also provides voice listing and provider health checks.

Provides on-device Chinese speech recognition with traditional Chinese (Taiwan) output via MCP server, HTTP API, and CLI, ensuring privacy by processing audio locally without uploading to cloud services.

Enables text-to-speech conversion using Google Translate's TTS, supporting many languages and accents, and saving MP3 files.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

This MCP server enables Claude to speak summaries, announcements, and explanations aloud using text-to-speech — right from your terminal.

An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.

Gives an AI agent access to your macOS Telegram account via MTProto: it saves chats as Markdown archives, searches and summarizes them, transcribes voice messages, OCRs photos with Apple Vision, and sends messages only after your confirmation.

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

Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.

Enables real-time voice agents and streaming audio pipelines to detect conversational turn completion, distinguishing finished speech turns from mid-sentence hesitation pauses using acoustic VAD and semantic scoring. It provides low-latency decision and telemetry output through a native MCP interface for integration with MCP-compliant clients.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

Enables real-time voice agents and streaming pipelines to smooth audio playout over volatile network conditions by providing adaptive jitter buffering and packet loss concealment. It exposes an MCP-compliant server that accepts audio frames and telemetry, returning low-latency decision and diagnostic output.

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

MCP server for Chamade — a voice and chat gateway that lets your AI agent join meetings and DMs on Discord, Microsoft Teams, Google Meet, Telegram, SIP, Zoom, Nextcloud Talk, Slack, and WhatsApp.

Enables assistants to search meetings, transcripts and dictations, gather decisions and action items by person and deadline, locate who said what and when, and transcribe audio or video from links or files. Sign-in is via OAuth account access, with reading free and transcription charged per minute.

Local Korean text-to-speech MCP server using a fine-tuned CosyVoice2 model, enabling voice synthesis directly from Claude or Codex with privacy and no API costs.

Enables agents to convert text to speech using OpenAI's TTS models with voice selection, delivery instructions, and queue-based audio playback. Supports both blocking and non-blocking modes for flexible audio generation and playback control.

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 LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

Enables converting text to speech audio in 20+ languages, returning base64-encoded MP3 output via Google TTS with x402 micropayment-based pay-per-call access.

Enables agents to generate TTS audio, verify it with independent ASR, measure quality against gates, escalate retries, and receive structured QC reports to improve text.

Enables running Claude Code around the clock from Telegram, with transcribed and spoken voice messages both ways, persistent memory and history across restarts, scheduled messages and calendar access, and live visibility into every tool call and session. A self-healing daemon keeps it running unattended, and permission prompts, long answers, and multi-agent boards are all handled from chat.

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.

Enables MCP-compatible clients to detect and remove speech filler words using timestamp-aligned transcripts, and generate precise cut lists for video editing workflows.

Enables MCP-compliant agents to analyze speech prosody and vocal sentiment from audio-derived input, measuring speech rate, pitch variance, and user cognitive fatigue. Exposes these deterministic results over JSON-RPC so clients can dynamically calibrate their response pacing.

Enables real-time detection of speech turn completion, distinguishing mid-sentence hesitation pauses from finished turns for voice agents and conversational audio pipelines.

Enables real-time voice agents to dynamically tailor speech pitch, cadence, and pause inflections through low-latency prosody, SSML, and emotion pacing modulation.

Enables acoustic vocal emotion, prosodic valence, and customer frustration analysis on audio queries via the Model Context Protocol, letting MCP-compliant clients obtain structured emotional telemetry and deterministic results.

Enables AI agents to index video, audio, and screen activity into searchable, timestamped evidence — frames, transcripts, and OCR text — and to query and verify results against frozen contracts with deterministic verdicts rather than model opinion.