"Information about project memory" matching MCP servers:

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.

Analyze an hour-long YouTube video sentence by sentence in three minutes, and extract the information you need from the screen. Open-source local MCP server for AI clients.

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.

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.

MCP server with persistent memory, voice understanding, multi-thread orchestration, and remote control via Telegram for AI assistants.

Enables AI agents to make outbound phone calls, send SMS, and transcribe recordings via Twilio, while also giving them searchable memory over past Claude Code, Codex CLI, and Cursor sessions stored in local SQLite.

Enables parsing Douyin video information, downloading videos without watermark, and transcribing speech to text using Tencent Cloud ASR.

Enables MCP clients to run project-scoped video editing workflows: propose and approve editing strategies, apply validated plans, review immutable versions, and export final renders via FFmpeg, with durable persistence and approval gates.

Provides voice recognition and text extraction capabilities with support for both stdio and MCP modes, processing audio files or base64 encoded data and returning structured results with language, emotion, and speaker information.

Enables voice-driven food ordering by providing tools to search restaurants, browse menus, check item availability, manage carts, calculate optimal coupon discounts, confirm and place orders, and track deliveries. It also supports long-term preference memory and order history for natural, multi-turn conversational commerce.

An advanced MCP server that provides stateful voice-controlled AGI capabilities with local STT, TTS, and intent detection. It enables users to execute tools, manage memory, and conduct research through natural multi-turn dialogue with low-latency performance tracking.

SeaMeet MCP connects Claude, Cursor, Codex, and other AI agents to SeaMeet meeting recordings, transcripts, AI summaries, screenshots, action items, webhooks, and desktop recording controls. Use it to search meeting memory, read synced cloud recordings, and automate meeting notes through the Model Context Protocol.