Model Context Protocol (MCP) Types

what is Model Context Protocol (MCP)? Model Context Protocol (MCP) is a specification designed to standardize context exchange between AI models and their runtime environments. This project provides Rust types generated from the MCP specification, allowing developers to easily integrate context management into their applications. how to use Model Context Protocol (MCP)? To use MCP, import the generated types in your Rust code by adding the following line: use mcp::types::*; key features of Model Context Protocol (MCP)? Strongly-typed Rust bindings for the MCP specification. Full serde support for easy serialization and deserialization. Generated from the official MCP JSON Schema for accuracy and reliability. use cases of Model Context Protocol (MCP)? Facilitating context management in AI applications. Standardizing data exchange between different AI models. Enhancing interoperability among AI systems. FAQ from Model Context Protocol (MCP)? What is the MCP specification? The MCP specification defines a standard for context exchange between AI models and their environments, ensuring consistent communication. How can I contribute to the MCP project? Contributions are welcome! You can submit issues or pull requests on the GitHub repository. Is there documentation available for MCP? Yes, detailed documentation can be found at the MCP specification documentation.

As an MCP (Model Context Protocol) server, Model Context Protocol (MCP) Types enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use MCP, import the generated types in your Rust code by adding the following line: use mcp::types::*; key features of Model Context Protocol (MCP)? Strongly-typed Rust bindings for the MCP specification. Full serde support for easy serialization and deserialization. Generated from the official MCP JSON Schema for accuracy and reliability. use cases of Model Context Protocol (MCP)? Facilitating context management in AI applications. Standardizing data exchange between different AI models. Enhancing interoperability among AI systems. FAQ from Model Context Protocol (MCP)? What is the MCP specification? The MCP specification defines a standard for context exchange between AI models and their environments, ensuring consistent communication. How can I contribute to the MCP project? Contributions are welcome! You can submit issues or pull requests on the GitHub repository. Is there documentation available for MCP? Yes, detailed documentation can be found at the MCP specification documentation.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.