mcp_server
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The Model Context Protocol (MCP) is an open standard that enables secure, two-way connections between data sources and AI-powered tools.
The Model Context Protocol (MCP) is designed to facilitate secure and efficient communication between data sources and AI applications. It operates on a client-server architecture, allowing developers to either expose their data through MCP servers or create AI applications (MCP clients) that connect to these servers. The architecture is straightforward, with a focus on enabling developers to build secure, two-way connections. The protocol supports the development of AI-powered tools by providing a structured environment for data exchange. MCP is particularly useful for developers looking to integrate AI capabilities into their applications, as it provides a standardized way to connect and interact with various data sources. The protocol's design ensures that data is handled securely and efficiently, making it a reliable choice for developers working with sensitive or complex data sets.
Features
- Client-Server Architecture: MCP follows a client-server model, allowing multiple servers to connect with host applications.
- TypeScript Source: Developers write MCP protocol handlers in TypeScript, which are then compiled to JavaScript.
- Secure Data Exchange: MCP ensures secure, two-way connections between data sources and AI tools.
- Standardized Protocol: Provides a standardized way to connect AI applications with data sources.
- Efficient Communication: Facilitates efficient communication between AI applications and data sources.
Tools
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