"Using Logseq data as context for chat applications" matching MCP servers:

Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.

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.

Local MCP server for private, consent-based speaker identification and attribution, with per-language voiceprints and calibrated match thresholds. It lets AI assistants know who is speaking in a room or transcript without cloud services.

Give your AI assistant eyes and ears — analyze any video, audio, or image, entirely on your machine.

High-quality speech-to-text transcription using Zhipu AutoGLM ASR, supporting long audio chunking, context-aware modes, and timestamp segmentation.

Integrates OpenAI APIs into MCP-compatible clients, providing tools for text generation, chat completions, model discovery, image creation/editing, audio transcription, speech synthesis, embeddings, and content moderation.

Transcribes audio files by referencing them in chat, using OpenAI's speech-to-text models locally without uploading audio, and supports speaker diarization.

Provides browser automation, audio transcription, and LLM chat as MCP tools for any agent.

Automatically transcribes Google Chat voice messages using Groq Whisper API, and also supports local audio file transcription.

A Model Context Protocol server that enables AI models to generate and play high-quality text-to-speech audio through your device's native audio system using Rime's voice synthesis API.

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.

MCP server for text-to-speech using macOS say command, enabling speech synthesis, audio file generation, and voice management.

Wraps the Transkriptor developer API to transcribe audio, video, public URLs, and live meetings, with support for fetching transcriptions, summaries, exports, file management, custom vocabulary, webhooks, text-to-speech, and AI chat knowledgebases.

Downloads YouTube audio and transcribes it locally using faster-whisper, saving transcripts as Markdown and JSON files for Obsidian and Hermes ingestion.

A Model Context Protocol server that provides text-to-speech functionality for AI agents using Microsoft Edge's text-to-speech technology, supporting multiple voices, languages, and voice customization.

Enables interaction with Retell AI's voice and chat agent platform. Build, deploy, and manage AI phone agents, configure conversation flows, handle calls/chats, and manage phone numbers through natural language.

A MCP server that enables transcription of audio files using OpenAI's Speech-to-Text API, with support for multiple languages and file saving options.

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

Enables MCP-compatible agents to make safe, consented phone calls using Twilio and Deepgram.

Transcribe YouTube videos for LLM chat applications. Supports fetching transcripts in multiple languages and includes an ad-removal instruction.