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An AI-driven integration server that enables natural language control of Adobe Photoshop through the Model Context Protocol. It automates design workflows by facilitating smart asset slicing, layer analysis, and the future generation of UI code from design files.

MCPvil is a minimal Wayland compositor built on top of Smithay that exposes compositor functionality as tools. It enables launching applications within the compositor environment and capturing screenshots of the active window as PNG images. Communication happens over stdio using newline-delimited JSON-RPC, making it suitable for integration with any compatible client.

A thin MCP wrapper around the unofficial Google NotebookLM Python client, enabling notebook management, source handling, chat, artifact generation, deep research, and sharing via MCP tools.

Save 47% on Manus AI credits automatically. Zero downsides. Pays for itself in ~27 prompts. Free MCP Server (PyPI) + $12 Manus Skill bundle with Fast Navigation (115x speed boost).

Evidence-based supplement recommendation MCP server covering 17 supplements and 40+ conditions with medication interaction checking and form quality classification.

A local proxy for Luckin Coffee's official MCP, enabling natural language ordering, reordering, and shop/product search with automatic retry and memory.

Enables AI assistants to perform comprehensive code reviews of local uncommitted changes by combining git diffs with static analysis from linters like ESLint and TypeScript. Returns structured JSON feedback with findings, suggestions, and quality assessments powered by Google's Gemini CLI.

On-chain Solana token safety for AI trading agents — screens any token for rugs, honeypots and mint/freeze authority traps by reading the chain directly, then executes the buy through a safety-verified, MEV-protected route.

Enables an AI agent to query a patient-records SQLite database with tools for schema inspection, safe SQL queries, patient risk assessment, and readmission risk analysis.

Enables AI assistants to search, get details, and download torrents from the M-Team private tracker via its API.

This MCP server implementation provides tools for working with JSON Canvas files according to the official specification. It enables creating, modifying, and validating infinite canvas data structures, supporting all node types and edge connections. The server offers a RESTful API for canvas operations, includes example resources, and can export canvases to different formats. It's designed for applications requiring AI assistants to interact with and manipulate canvas-based data visualizations.

Exposes the OpenProject REST API as MCP tools for project management, including creating and managing projects, work packages, relations, attachments, users, notifications, watchers, boards, and reference data.

Lucid provides a real-time knowledge layer that grounds AI agent responses in verified, live data. It exposes four tools for documentation search, package version checking, fact verification, and API reference fetching, all backed by a cloud API that queries authoritative sources. The local MCP server handles authentication and forwards requests to the Lucid API, which cross-references official documentation, package registries, API specifications, and release notes. An accompanying skills system auto-triggers the appropriate tools based on conversation context, ensuring agents proactively reach for current data without manual invocation.

A simple memory storage server for Claude using the Model Context Protocol (MCP), enabling Claude to store and retrieve text memories across conversations.

Prove and compare the AI CLIs you already installed from one command surface or one MCP setup

A simple system that allows Claude to leave and manage notes for itself across sessions, functioning like an 'Alexa, remind me...' for AI assistants.

Connects Claude to the Ticketmaster API to let users discover local events by city, category, keyword, or weekend through natural conversation.

This MCP server provides Android Debug Bridge (ADB) integration, enabling AI assistants to interact with Android devices and emulators through standard ADB commands. The implementation wraps ADB functionality as MCP tools, allowing for device management, app installation, file operations, and debugging tasks directly from AI conversations. It's particularly useful for Android developers and testers who want to automate device interactions, troubleshoot applications, or perform bulk operations across multiple devices without manually executing ADB commands.

The official MCP server for Magic UI design system provides AI assistants with structured access to Magic UI's component library. Built by Beau Hayes-Pollard, it exposes tools for retrieving implementation details of UI components organized by categories like buttons, animations, text effects, and backgrounds. The server fetches component data from the Magic UI registry, formats it with proper installation instructions, and delivers it through categorized tools that help AI models generate accurate code suggestions for implementing visually appealing UI elements in web applications.