The Model Context Protocol (MCP) currently provides official SDKs or bindings for Python, JavaScript/Node.js, Java, and C#. These languages are prioritized due to their widespread use in backend systems, web development, and enterprise environments. The SDKs simplify integrating MCP’s features—like model inference, context management, and data streaming—into applications. For example, the Python SDK is distributed via PyPI, while the JavaScript/Node.js version is available on npm. Java and C# developers can access MCP tools through Maven and NuGet, respectively.
Python’s SDK is the most feature-complete, offering utilities for real-time inference, batch processing, and context-aware workflows. It includes prebuilt classes for common tasks like serializing model inputs or managing session states. The JavaScript/Node.js SDK focuses on web integration, with support for REST APIs, WebSocket streaming, and browser-based applications. Java’s SDK emphasizes scalability, providing thread-safe clients and integration with Apache Kafka for high-throughput use cases. C# developers benefit from .NET Core compatibility, enabling MCP usage in cloud services or desktop applications. All SDKs include documentation, code samples, and testing tools.
Community-driven bindings exist for languages like Go and Ruby, but these are less mature and lack official support. For instance, a third-party Go library implements basic MCP client functionality but doesn’t support advanced features like streaming or context persistence. Developers using niche or newer languages (e.g., Rust or Swift) may need to build custom solutions using MCP’s gRPC or HTTP APIs directly. The MCP team has indicated plans to expand language support based on demand, with Rust and Kotilin being potential future targets. For now, sticking to the core SDKs ensures reliability and access to updates.