MCP Servers provides a centralized directory for discovering and sharing Model Context Protocol servers. It allows users to explore and contribute to a community-driven platform that enhances AI capabilities by connecting AI systems with external data sources and tools.
MCP Servers is a platform that collects and organizes Model Context Protocol (MCP) Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications. MCP Servers enhance AI capabilities by providing access to external data, tools, and prompts through a client-server architecture, enabling AI systems like Claude to securely connect with various data sources.
A.MCP is an open-source protocol developed by Anthropic that enables AI systems like Claude to securely connect with various data sources. It provides a universal standard for AI assistants to access external data, tools, and prompts through a client-server architecture.
A.MCP Server is a system that provides context, tools, and prompts to AI clients. It can expose data sources like files, documents, databases, and API integrations, allowing AI assistants to access real-time information in a secure way.
A.You can submit your MCP Server by creating a new issue in our GitHub repository. Click the 'Submit' button in the navigation bar or visit our GitHub issues page directly. Please provide details about your server including its name, description, features, and connection information.
A.Yes, security is built into the MCP protocol. Server controls its own resources, there's no need to share API keys with LLM providers, and the system maintains clear boundaries. Each server manages its own authentication and access control.
