Model Context Protocol
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A Model Context Protocol server for Excel file manipulation. This server enables workbook creation, data manipulation, formatting, and advanced Excel features.
MCP server to provide Figma layout information to AI coding agents like Cursor
A Model Context Protocol (MCP) server for interacting with the App Store Connect API. This server provides tools for managing apps, beta testers, bundle IDs, devices, and capabilities in App Store Connect.
MCP Server implementation for Xcode integration. This server acts as a bridge between Claude and your local Xcode development environment, enabling intelligent code assistance, project management, and automated development tasks.
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A docker MCP Server (modelcontextprotocol) for seamless container and compose stack management through Claude AI.
A Model Context Protocol server for Excel file manipulation. This server enables workbook creation, data manipulation, formatting, and advanced Excel features.
A flexible HTTP fetching Model Context Protocol server.
A Model Context Protocol (MCP) server that provides programmatic control over iOS simulators. This server implements the MCP specification to expose simulator functionality through a standardized interface.
A Model Context Protocol server for converting almost anything to Markdown
A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio
An MCP server that provides LLMs with the latest stable package versions when coding
MCP server for document format conversion using pandoc. This server provides tools to transform content between different document formats while preserving formatting and structure.
MCP Server is a versatile tool designed for interactive data exploration. Your personal Data Scientist assistant, turning complex datasets into clear, actionable insights.
Understanding Model Context Protocol (MCP)
Model Context Protocol (MCP) is a groundbreaking open-source protocol developed by Anthropic that revolutionizes how AI systems interact with external data sources. As the foundation for next-generation AI interactions, MCP enables AI assistants like Claude to establish secure and standardized connections with various data sources and tools.
Key Features of MCP
- Universal Standard: Provides a unified framework for AI systems to access external data, tools, and prompts
- Client-Server Architecture: Implements a robust and scalable architecture for seamless AI interactions
- Security-First Design: Ensures secure data transmission and access control between AI systems and data sources
- Tool Integration: Enables AI assistants to interact with various external tools and services
- Standardized Communication: Establishes consistent protocols for data exchange and interaction patterns
Benefits for AI Development
MCP represents a significant advancement in AI infrastructure, offering developers and organizations a standardized way to build and deploy AI applications. By providing a common protocol, MCP reduces implementation complexity and ensures compatibility across different AI systems and data sources.
Whether you're developing AI applications, managing data infrastructure, or implementing AI solutions, MCP provides the foundation for secure, efficient, and standardized AI interactions. Explore our directory to find MCP servers that match your specific needs and requirements.