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Provides a modular Model Context Protocol (MCP) server template designed for customization and extension.
Connects clients like Claude to Shopify store data via a Model Context Protocol (MCP) server.
Automates Figma design creation and manipulation through plugins and direct integration.
Demonstrates Semantic Kernel integration with Model Context Protocol in a Windows Forms application.
Converts APIs into tools compatible with the Model Context Protocol (MCP).
Streamline MCP server development with an annotation-based framework for automatic code generation.
Provides a categorized collection of Model Context Protocol (MCP) servers, facilitating discovery and utilization of AI model integrations.
Scans IP addresses for vulnerabilities using multiple methods and returns detailed reports.
Simplifies the management, configuration, and monitoring of backend services through a web-based platform.
Automates translation workflows and localization management for iOS/macOS projects by processing Xcode String Catalogs (.xcstrings files).
Provides access to the Keywords Everywhere API for comprehensive SEO research and keyword analysis.
Orchestrates long-running AI tasks with state-of-the-art LLMs, offering real-time progress monitoring and automated problem-solving strategies.
Automate web browser interactions, testing, and scraping for AI assistants and applications using a comprehensive set of Selenium WebDriver tools.
Provides a Model Context Protocol (MCP) server offering a comprehensive library of game-theoretic workflows and problem-solving frameworks for AI-assisted development.
Transforms the Gemini CLI into an expert software architect, enforcing rigorous engineering standards based on a curated library of technical references.
Empowers AI to present choices and facilitates user selection through an interactive interface, returning the results to the AI.
Enables AI assistants to programmatically control Adobe Photoshop for design, image editing, and workflow automation.
Provides fast semantic code search for AI agents, enabling them to find symbols, references, and callers across any codebase.
Empower AI assistants with a secure, high-performance Model Context Protocol server, offering file system interaction, command execution, and HTTP requests via a modern WebUI.
Facilitates the integration of AI tooling with development environments for enhanced productivity.
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