134 boosters for "assistants" — AI-graded, open source, ready to install
Magic is an MCP server that enables AI assistants to build and preview UIs in real-time across Cursor, Windsurf, and Claude platforms. It's useful for developers who want to leverage AI for rapid frontend prototyping and UI generation.
Model Context Protocol (MCP) server for Kubb, enabling AI assistants to generate code from OpenAPI specifications.
This MCP booster enables AI assistants like Cursor and Windsurf to control Unreal Engine 5.5.4 through natural language commands, providing developers with guidelines for Python tool implementation and UE-specific best practices including coordinate systems and units.
This MCP server enables developers to deploy HTML content directly to EdgeOne Pages and retrieve publicly accessible URLs programmatically. It's ideal for AI assistants and developers who need to quickly publish web content through Claude or automated workflows.
This MCP server enables Claude to search Airbnb listings and retrieve detailed rental information, helping travelers and developers build AI-powered vacation planning tools. It benefits travel app developers, booking assistants, and anyone building Claude integrations that need real-time accommodation data.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control Unreal E…
Packmind is an MCP server that captures and enforces your organization's technical decisions and best practices across AI coding tools like Claude Code and Cursor. It helps engineering teams maintain consistency and governance when using AI-powered development assistants.
A prompt booster that teaches AI assistants (in Windsurf) how to help developers build static HTML websites using the Static generator framework. Ideal for developers creating blogs, landing pages, and personal sites who want AI-assisted development.
This MCP server integrates Dynatrace monitoring and observability capabilities into Claude and Copilot, enabling developers to query application performance data, logs, and metrics directly within AI assistants. It benefits DevOps engineers, SREs, and developers who need real-time access to Dynatrace insights during troubleshooting and development workflows.
An MCP server that enables Claude to execute MySQL database operations directly, allowing AI assistants to query, insert, and manage database records. Useful for developers integrating Claude with MySQL-backed applications and data workflows.
BrowserStack's Official MCP Server enables AI assistants to automate browser testing, accessibility checks, and cross-platform quality assurance directly within Claude. Developers using BrowserStack can leverage AI to orchestrate complex testing workflows without leaving their coding environment.
This MCP server bridges AI assistants with Linear project management via GraphQL, enabling Claude and Cursor users to query and manage Linear projects directly through natural language. It's essential for teams using Linear who want AI-assisted workflow automation and issue management.
Agent Operating Guide provides structured instructions for Claude and other AI agents to safely develop and enhance the Raindrop MCP server while maintaining protocol compliance. It benefits developers using AI coding assistants who need consistent, verifiable guidelines for production-ready changes.
A system prompt for the Colorist desktop app that enables AI assistants to interpret natural language color descriptions and set RGB values through a specialized tool. Useful for developers building color-picker features into Claude-compatible applications.
A Node.js skill for domain registration, availability checking, DNS management, and pricing via the Namecheap API. Useful for developers and AI assistants automating domain operations and building domain-centric applications.
Auth0 MCP Server enables AI assistants to manage Auth0 tenants through natural language, with built-in security controls and least-privilege access patterns. It's ideal for developers and platform engineers seeking to automate Auth0 administration tasks safely within Claude Desktop and Claude Code.
A comprehensive Russian-language system prompt and development ruleset for AI assistants building on the 1C:Enterprise platform, establishing coding standards, security practices, and AI persona guidelines across multiple IDE environments.
Medical MCP Server provides AI assistants with access to authoritative medical data from FDA, WHO, PubMed, and RxNorm APIs, enabling developers to build healthcare applications with reliable clinical information.
This skill parses natural language shopping queries to extract structured search criteria like product type, attributes, price limits, and specifications. E-commerce AI agents and developers building shopping assistants benefit from this structured approach to query understanding.
This MCP Server integrates Naver Search API with Claude, enabling AI assistants to perform Korean web searches, trend analysis, and data retrieval. It's valuable for developers building AI applications targeting Korean markets or requiring Korean-language search capabilities.
atris is a self-improving context system that provides structured agent rules and workflows for AI coding assistants like Cursor, enabling developers to maintain organized task management, code navigation, and communication standards across projects.
An MCP server that integrates Open Library's vast book database into Claude, enabling AI assistants to search for books, retrieve author information, and access literary metadata. Useful for developers building book-focused AI applications, researchers, and anyone needing programmatic access to library data.
An MCP Server that integrates Alibaba Cloud DevOps API capabilities into AI assistants, enabling automated participation in development workflows and team collaboration optimization. Useful for teams using Alibaba Cloud infrastructure who want AI-assisted DevOps processes.
This MCP server enables AI assistants to request human approvals through the gotoHuman service, bridging automated workflows with human decision-making. It benefits developers building AI applications that need human-in-the-loop validation steps.
