Model Context Protocol
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This Model Context Protocol server implementation of Asana allows you to talk to Asana API from MCP Client such as Anthropic's Claude Desktop Application, and many more.
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.
A Model Context Protocol server that provides MySQL database operations. This server enables AI models to interact with MySQL databases through a standardized interface.
Model Context Protocol server for interacting with iaptic. This server allows Claude or other AIs to interact with your Iaptic data to answer questions about your customers, purchases, transactions, and statistics.
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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.
A Model Context Protocol (MCP) server that enables AI models to interact with Bitcoin, allowing them to generate keys, validate addresses, decode transactions, query the blockchain, and more.
A simple MCP server that can enable MCP clients to query Bluesky instances.
Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Cloudflare's API.
A TypeScript-based MCP server that provides tools to interact with Confluence. It demonstrates core MCP concepts.
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
MCP server to provide Figma layout information to AI coding agents like Cursor
MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.
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.