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Source channel @githubtrending · Post #15066 · Aug 16

#python#agents#ai#api_gateway#asyncio#authentication_middleware#devops#docker#fastapi#federation#gateway#generative_ai#jwt#kubernetes#llm_agents#mcp#model_context_protocol#observability#prompt_engineering#python#tools The MCP Gateway is a powerful tool that unifies different AI service protocols like REST and MCP into one easy-to-use endpoint. It helps you manage multiple AI tools and services securely with features like authentication, retries, rate-limiting, and real-time monitoring through an admin UI. You can run it locally or in scalable cloud environments using Docker or Kubernetes. It supports various communication methods (HTTP, WebSocket, SSE, stdio) and offers observability with OpenTelemetry for tracking AI tool usage and performance. This gateway simplifies connecting AI clients to diverse services, making development and management more efficient and secure. https://github.com/IBM/mcp-context-forge

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@githubtrending · Post #14766 · 05/30/2025, 12:30 PM

#cplusplus#best_practices#cpp#graphics#graphics_programming#khronos#tutorials#vulkan#vulkan_api#vulkan_samples Vulkan is a powerful tool for creating high-performance graphics and computing applications. It helps developers control the GPU better, which can lead to faster and more efficient performance compared to older systems like OpenGL. Vulkan is special because it works on many different platforms, such as Windows, Linux, and Android. This means developers can create applications that run smoothly across various devices. The Vulkan Samples provide resources and tutorials to help developers learn and optimize their applications, making it easier to create high-quality graphics and computing experiences. https://github.com/KhronosGroup/Vulkan-Samples