"Resources for learning about data analysis" matching MCP servers:

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 automated video learning workflows by ingesting video URLs, managing remote GPU ASR transcription, pulling transcripts, generating digest summaries, and searching local notes via MCP tools.

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

Enables Claude Code to leverage Chinese LLMs for multimodal tasks including image analysis, audio transcription, and deep synthesis via MCP protocol.

CreativeClaw marketplace MCP server for creative tools and resources.

Official MCP server for the Vocametrix voice analysis API. Gives AI assistants direct access to clinical voice metrics (AVQI, DSI, jitter/shimmer, CPP), pronunciation assessment, speech transcription, prosody similarity, and AI-powered therapy planning. More than 40 endpoints for SLPs, voice researchers, and healthtech developers.

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.

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.

Read-only MCP server for Telegram that enables reading messages and transcribing voice, audio, and video notes via the Telegram API for use with Codex and Claude Code.

Turns a YouTube video or allowlisted local video into a timestamped transcript, chronological timeline, and retrievable image resources for transparent media preprocessing.

A voice-to-text transcription service that converts audio files to transcripts using SiliconFlow, supporting both multipart/form-data and base64 formats.

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 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.

Enables AI models like Claude to easily access and utilize subtitle data from YouTube videos by extracting transcripts from video URLs with support for multiple languages.

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.