"Understanding Modal Music" matching MCP servers:

Enables control of Amazon Music playback through Claude Desktop via the Model Context Protocol. Users can play, pause, skip tracks, and search for music using natural language commands powered by browser automation.

Enables MCP-aware agents to drive Modal serverless compute, including GPU workers and headless Chromium for web browsing with screenshots.

Self-hosted SearXNG metasearch for MCP clients: web, image, news, video, music and page fetch.

A DOM-first, vision-second MCP server for webpage analysis, combining structural DOM extraction with MiniMax vision to provide accurate, context-rich page understanding for AI coding assistants.

MCP server enabling parallel web search and batch browsing with intelligent content understanding via MiniMax LLM.

Enables music generation through Suno AI, providing tools for account authentication, prompt-based track creation, and automatic downloading of audio files. It facilitates seamless AI music production workflows within Claude Desktop via Playwright-driven browser automation.

Enables AI-powered music generation and live coding by providing direct control over Strudel.cc through browser automation. Supports pattern creation, audio analysis, and pattern storage for TidalCycles/Strudel music patterns.

An MCP server that allows AI models to control YouTube Music playback through Google Chrome by searching and playing songs using song and artist names.

Crawl4AI MCP Server is an intelligent information retrieval server offering robust search capabilities and LLM-optimized web content understanding, utilizing multi-engine search and intelligent content extraction to efficiently gather and comprehend internet information.

Reachability-filtered browser perception and actions for AI agents. Filters snapshots to elements a user could actually reach (removes modal-occluded, closed-drawer, off-screen and inert elements), with ref-stable snapshots and state diffs.

Consolidates code understanding, documentation, browser automation, memory, and knowledge graph into a single MCP server with progressive discovery for up to 98% token reduction.

A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.

Enables AI agents to take screenshots of local web pages and capture user-selected UI elements via a bookmarklet, providing element metadata for precise visual understanding.

Enables zero-API-cost visual understanding, text Q&A, image generation, and video analysis by driving the Quark browser's built-in AI chat page via CDP and Playwright.

A server that provides rich UI context and interaction capabilities to AI models, enabling deep understanding of user interfaces through visual analysis and precise interaction via Model Context Protocol.

A Multi-modal Conversation Protocol (MCP) server that enables interacting with web APIs through a curl-like interface, providing access to various websites and APIs with user authentication and response transformations.

Provides access to Jina AI's suite of web tools including URL reading, web/image/academic search, content extraction, embeddings, and reranking capabilities. Enables AI assistants to search the web, extract content from URLs, and process information with semantic understanding.

Reads Modao read-only prototype links and exports a directory of page screenshots with a catalog.

Enables AI coding assistants to drive a real, persistent browser session through tools for goal-driven browsing, numbered screenshots and element lists, clicking, typing, selecting, scrolling, history navigation and setup checks. Each action is chosen by a cheap decision model, with a vision LLM stepping in only when that model is unsure.

Exposes macOS system controls and Apple apps as structured tools for Claude, enabling control of volume, music, files, browser tabs, and more via natural language with configurable permissions and rate limiting.