"A server for finding information about Firebird (car, software, mythology, or music)" matching MCP servers:

Enables LLMs to list, open, and close installed software on Windows, macOS, and Linux through natural language.

A client-server system using Model Context Protocol that allows users to query a SQLite database of fictional car data.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

Provides telemetry, rule-based anomaly detection, and maintenance recommendations for a synthetic connected-vehicle fleet through five narrow MCP tools, enabling fleet monitoring and analysis without external APIs.

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Facilitates software development planning through interactive sessions that break down projects into manageable tasks with complexity scoring, code examples, and implementation plan management.

A local music retrieval MCP server that lets users search, download, and organize songs via natural language, with lyrics matching from NetEase Cloud Music and LRCLIB, plus local library indexing through SQLite.

Enables AI assistants to control Apple Music on macOS through AppleScript, providing tools for playback management, library searching, and playlist organization. It supports detailed track metadata retrieval and enhanced queue management for a seamless music experience.

A NAS music library downloader shell that aggregates multiple sources, writes ID3 tags, and exposes MCP tools for AI agents to search, download, and manage music.

Enables Claude to function as a full-stack software engineer with comprehensive development capabilities including project creation, database management, frontend/backend development, testing, deployment, and DevOps operations across multiple frameworks and technologies.

Enables AI assistants to control Apple Music on macOS using AppleScript for playback, library management, and playlist operations. It supports features like searching tracks, managing the play queue, and retrieving detailed metadata through a structured interface.

Resolves music genre names and aliases against a local, evidence-backed knowledge base and builds deterministic style prompts for music-generation models, failing closed when a genre or generator profile is unavailable.

Enables music library management and Chromecast playback control via LM Studio, with 21 tools for search, playback, navigation, and queue management.

Provides music search, playback control, volume adjustment, and playlist management for XiaoZhi AI through MCP protocol.

A music MCP server that enables searching and playing songs with controls like play, pause, stop, and resume.

Control Apple Music via natural language from Claude Code, with the ability to mark tracks and accumulate reactions in an Obsidian Vault.

Full Apple Music integration for Claude: search the catalog, browse your personal library, manage playlists, and get personalised recommendations.

MCP server for controlling local music playback via NetEase Cloud Music, enabling search, play, pause, skip, and lyrics display through a local web player.

A safe, structured Model Context Protocol server for the local Apple Music app on macOS. It lets an MCP client inspect a library, analyze and manage playlists, control playback, edit supported metadata, and keep a local audit trail.