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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 #14948 · 07/11/2025, 12:30 PM

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#go#logging#metrics#opentelemetry#tracing OpenTelemetry-Go is a tool for Go applications that helps you track how your software performs by collecting data like traces and metrics, then sending this information to monitoring platforms so you can see what’s happening inside your app in real time[2][3][4]. It works on many operating systems and Go versions, and you can use it by adding a few lines of code to your app and setting up an exporter. This makes it much easier to find and fix problems, understand how your app is running, and keep everything reliable and fast[2][3][4]. https://github.com/open-telemetry/opentelemetry-go

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#go #logging #metrics #opentelemetry #tracing