"Information about ECharts - a data visualization library" matching MCP servers:

Manages a local SQLite music track library with fingerprint-based incremental scanning, multi-condition search, missing analysis completion, and crate management, enabling DJs to organize and retrieve tracks without moving files.

The MCP protocol server based on JSXGraph provides 13 mathematical visualization tools suitable for educational mathematics, engineering, and scientific applications.

MCP ECharts is a dynamic chart generation and data analysis tool based on Apache ECharts, supporting multiple export formats and MinIO object storage integration.

Provides Steam library intelligence including ownership, store briefs, deals, discovery, wishlist updates, co-op planning, achievements, and optional local actions.

Enables you to manage your personal Spotify library from Claude or a CLI, including organizing playlists, merging and deleting playlists, saving tracks, searching with artist verification, and querying top tracks, artists, and recently played items.

Enables AI chat clients to search, manage, and send custom meme/sticker images through MCP, with images stored in SQLite and served via public URLs; supports MCP Apps displaying images inline in chat.

Enables managing a personal media collection of films, series, animation, books, and games via MCP, including adding, searching, filtering, updating, deleting, and retrieving statistics.

Provides access to your Steam game library data through Claude Desktop, enabling game search, filtering, details, recommendations, and statistics.

A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.

Enables AI assistants to turn music requests into traceable local DJ collections by scanning and indexing audio, planning tracklists, managing durable download jobs, and preparing hash-checked playlists, manifests, and experimental rekordbox exports for DJ app handoff.

Music For Robots catalog — browse and search AI-generated real-time music reviews. Two critics (Vincent Van Goghbot, JS Robach) listen to original compositions and respond with timed observations synchronized to the audio. Query tracks, spectral/harmonic analysis, and full prose reviews.

Enables extracting YouTube video transcripts, comments, and search results via MCP. Supports both Stdio and StreamableHTTP transports.

Lets an MCP client read comment threads on your own YouTube channel, prepare replies, moderate or hide comments, and query YouTube Analytics reports. Every publishing or moderation action is held for explicit user confirmation before it takes effect.

Enables access to Jupiter Broadcasting podcast episodes through RSS feed parsing. Supports searching episodes by date, hosts, or content, retrieving detailed episode information, and fetching transcripts when available.

Enables ChatGPT to retrieve current YouTube metadata, channel uploads, search results, and transcripts via read-only MCP tools.

Enables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.

Enables AI assistants to answer questions about livestream advertising using GingerLive's up-to-date data on ad formats, network reach, campaign case studies, and the streamer program, as well as plan campaigns and evaluate streamer monetization.

A service that provides HackerNews content search, retrieval and analysis through the Model Context Protocol, suitable for AI agents and developers.

A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.

Exposes public YouTube data — transcripts with timestamps and language listings, keyword search, video metadata and statistics, comments, channels, channel uploads, and categories — as read-only tools an LLM can call over stdio. It runs as a single local process using only a YouTube Data API key, with SQLite caching, quota tracking, and no OAuth or account access.