#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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1/. Black Carbon – Soot from incomplete combustion; strong warming effect
2/. Brown Carbon – Biomass smoke aerosols; absorbs sunlight
3/. Blue Carbon – Stored in coastal & marine ecosystems
4/. Green Carbon – Stored in forests, soils, and vegetation
5/. Red Carbon – Biological matter on snow & ice; accelerates melting
6/. Grey Carbon – Fossil fuel–based industrial emissions
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