"Understanding Memory or Memory-Related Topics" matching MCP servers:

Enables local video inspection and offline transcription with timestamped JSON and Markdown output, enforced filesystem boundaries, and reproducible content-addressed caching.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

MCP server for audio transcription using OpenRouter models, supporting verbatim, cleaned, and custom transcription modes.

Enables AI agents to analyze, summarize, and extract text from videos and images using the Qwen3-VL-8B-Instruct model deployed on Blaxel. It supports media analysis via URL, including video Q\&A and speech transcription capabilities.

An MCP server for local image, speech, music, and SFX generation that preserves character identity across calls and rejects degenerate outputs. It runs with near-zero GPU idle memory and is designed for DeepSeek Harness agents.

Provides local-first audio/video analysis by downloading media, transcribing it, and returning structured labels for topics, sentiment, sensitivity flags, and a publish/review/block gate.

Enables comprehensive analysis of MIDI SMF files including loading, parsing, track analysis, event extraction with filtering, and detailed file summaries. Supports memory management for efficient repeated access to loaded MIDI files.

Enables access to a backend's native MCP tools and broader HTTP API for speech generation, voice cloning/design, transcription, dubbing, translation, subtitles, audiobooks, and related batch/long-form workflows over Streamable HTTP or local stdio.

An official Model Context Protocol (MCP) server that enables AI clients to interact with ElevenLabs' Text to Speech and audio processing APIs, allowing for speech generation, voice cloning, audio transcription, and other audio-related tasks.

Enables AI music production planning by generating song specifications and project plans, converting them for Ableton, generating audio via Google Lyria, and managing memory, review, and orchestration workflows.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

Provides local MCP tools to search and retrieve CC0 sound effects by keyword, category, duration, or ID, along with metadata, previews, and WAV/MP3 download URLs.

Enables MCP-compatible clients to generate images and videos, synthesize speech, clone and design voices, and create related media outputs.

Exposes the program's push-to-talk transcript history to MCP clients such as Claude Desktop and Claude Code, letting them fetch recent or latest transcripts, query results by time window, range, or ISO timestamp, search text, look up records by id, and read counts, runtime status, or clear history. Each result carries millisecond-precision hold start/end timestamps alongside the transcribed text.

Enables any MCP client to control Ableton Live 12 through 56 tools covering tracks, clips, MIDI notes, devices and racks, mixer parameters, transport, browser loading, automation, and arrangement editing. It also provides optional audio analysis (key, chords, groove, transcription, stem separation, mastering listen) and session memory.

Enables AI agents to generate narrated videos from topics or scripts, with stock footage, home videos, or local AI clips.

Enables MCP clients to speak text aloud on macOS using the built-in say command, with no external speech API or keys, and to list available voices and control rate or voice selection. Requests from multiple client threads share a single FIFO playback worker, so speech plays one item at a time and can be inspected, stopped, or muted in hold or discard mode.

Transcribes YouTube videos or audio files to Markdown, plain-text, and Word documents.

Enables Claude Code and Codex to play spoken alerts on a Mac when a task finishes or user attention is needed, using built-in or custom voice lines while staying quiet during keyboard use, calls, Focus modes, or configured locations.

Enables AI agents to submit and manage durable long-form audio transcription jobs, and read or export structured transcripts via MCP tools.