"Project dependency resolution and analysis" matching MCP servers:

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

Enables real-time transcription and heuristic vocal stress analysis of live financial webcasts, providing an LLM with rolling transcripts and a stress score.

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

Provides multimedia understanding tools for LLM agents, enabling image, video, audio analysis and speech transcription via cloud-based MiMo V2.5 through OpenAI-compatible endpoints.

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.

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.

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

Provides multimodal understanding tools including OCR, image description, audio transcription, UI screenshot analysis, and screenshot comparison via async tools on a multimodal endpoint.

Fetches YouTube transcripts and metadata (title, channel, duration) for URLs, using subtitles or on-device Whisper STT when no subtitles are available, enabling chat-based YouTube video analysis.

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

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 efficient analysis of recorded meetings by transcribing audio, extracting only non-people frames (e.g., slides), and associating them with timestamps for compact LLM input.

MCP server for Douyin/TikTok short-video transcript and hook analysis, ranking content by save intent rather than likes and transcribing real speech to find reusable opening structures.

A self-hosted MCP server that connects AI clients to local media-generation backends like ComfyUI and Blender, and provides built-in utilities for video/audio analysis, editing, subtitles, speech, and scene detection via a persistent file cache.

Enables AI agents to perform comprehensive audio processing—stem separation, analysis, transcription, restoration, speech processing, and generation—through a unified self-hosted API with asynchronous jobs and webhooks.

Enables speech-to-text transcription, text-to-speech synthesis, and audio analysis using Deepgram's AI models. Supports features like speaker diarization, sentiment analysis, language detection, and various audio processing capabilities.

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 tools for local meeting speaker analysis and hybrid cloud transcription, supporting resumable transcription and alignment.

An MCP server that gives AI agents the ability to listen to and understand music/audio files, enabling semantic analysis, stem separation, lyrics transcription, and signal processing via tool calls.

Connects WhatsApp to Claude Code, enabling message reading, audio transcription, image analysis, and message sending with full codebase context.