"Understanding Requirement Analysis" 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 AI models to analyze audio files through numerical fingerprints, pitch tracking, and visual spectrograms without requiring direct audio playback. It provides tools for comparing audio iterations and detecting patterns using token-efficient analysis operations.

Enables an agent to inspect an audio folder and report what is inside each file — duration, sample rate, channels, codec and bitrate — and to group byte-identical files, identical decoded audio stored in different containers, and near-duplicate candidates, with suggested keeps and explicit differences, all read-only.

MCP to analyse local audio file.

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.

Provides local audio analysis tools for LLMs, enabling transcription, conversation dynamics, prosody analysis, and visual inspection without API keys.

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.

Analyzes timing and tempo accuracy of percussion practice recordings via onset detection, reporting per-gap deviations and consistency stats to MCP clients.

An MCP server that enables analysis of local media files, including video, audio, and documents, by uploading them to EnriProxy for server-side extraction. It supports various complex file formats and provides structured model analysis for media types often unsupported by standard MCP clients.

Facilitates the creation of DecentSampler drum kit configurations, supporting WAV file analysis and XML generation to ensure accurate sample lengths and well-structured presets.

Enables local analysis of PCM WAV files to produce bounded audio observations such as activity segments, clipping indicators, duration, sample rate, peak, and RMS level without uploading recordings.

Extracts and formats Bilibili video content into structured text for LLM processing and analysis.

Enables natural language control of Room EQ Wizard for acoustic measurements, analysis, and EQ optimization, with peak/null detection and room-mode analysis.

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 audio file analysis using Google's Gemini multimodal models with support for additional context and system instructions to guide the model's behavior.

Enables AI agents to analyze guitar-tone recordings with local DSP metrics, optionally enrich them with Gemini audio understanding, and compare candidate tones against references using loudness matching and EQ direction hints.

Enables local-first, cross-platform audio calibration workflows combining REW-guided measurement, conservative EQ analysis, DSP export/apply adapters, and measured post-change verification.

Enables MCP-capable agents to submit and retrieve audio transcriptions, apply speech understanding such as translation, speaker identification, summaries and action items, and enforce guardrails including PII redaction and content moderation.

Enables asynchronous transcription of long audio and video files using Deepgram's Speech-to-Text API with features like speaker diarization, sentiment analysis, topic detection, and summarization without timeout issues.

Enables complete control over the Carla audio plugin host through natural language, providing 45 tools across session management, plugin control, audio routing, parameter automation, and real-time analysis for professional audio production workflows.

Enables AI tools to interact with constraint theory tools for pitch snapping, music generation, diagnostic analysis, and audio rendering through the Model Context Protocol.

Enables audio transcription, intelligent splitting, and meeting analysis for MCP-compatible clients like Claude Desktop.

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.

An MCP server for comprehensive video analysis — AI-powered transcription, visual frame analysis, and metadata extraction from 1000+ platforms.

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.

Bridges AI assistants with Ableton Live, enabling real-time control, offline project analysis, version tracking, and rack/preset parsing for music production workflows.

Enables natural-language control of FL Studio, audio analysis, editable song reconstruction, live sound matching in existing plugins, and arrangement and audition workflows.

Enables MCP clients to run audio analysis, editing, conversion, transcription, and listening plus video probing, conversion, and native temporal video analysis, returning plot images, saved files, and report JSON. It supports workspace-scoped paths for all eight media tools, with long timeouts available for GPU jobs.

Enables AI assistants to control Pro Tools via the PTSL gRPC API, providing session management, timeline navigation, track control, clip management, editing, markers, transport, audio analysis, and more.

Enables local transcription of audio/video files and YouTube URLs, generation of SRT/VTT subtitles, and analysis of speech pacing and audience retention risk using faster-whisper.