awslabs/mcp
AWS MCP Servers is a suite of specialized Model Context Protocol servers that integrate AWS best practices and resources into AI-powered development workflows to enhance cloud-native development and infrastructure management.
apache/apisix
Apache APISIX is a high-performance, cloud-native API Gateway and AI Gateway designed to provide dynamic, real-time traffic management and security features. It supports the Model Context Protocol (MCP) integration through its mcp-bridge plugin, which enables seamless conversion of stdio-based MCP servers into scalable HTTP Server-Sent Events (SSE) services. This capability allows APISIX to efficiently manage AI-related traffic, including proxying, load balancing for large language models (LLMs), retries, fallbacks, and token-based rate limiting, ensuring robust security and reliability for AI agents. The gateway supports a wide range of protocols such as TCP/UDP, HTTP, gRPC, MQTT, WebSocket, and more, making it versatile for various network environments. It offers full dynamic configuration capabilities, including hot updates and plugin management without restarts, dynamic load balancing with health checks and circuit breakers, and advanced routing features like full path and prefix matching, custom route matching functions, and support for IPv6. Security is a key focus, with extensive authentication and authorization options including key-auth, JWT, basic-auth, RBAC, Casbin, Keycloak, and Casdoor, alongside IP and referer whitelisting/blacklisting. APISIX also supports cloud-native deployment across platforms, including Kubernetes, and ARM64 architectures, ensuring no vendor lock-in. The project is community-driven with active development, comprehensive documentation, and a rich plugin ecosystem. It serves as a powerful tool for managing both traditional north-south traffic and east-west service-to-service communication, making it suitable for modern microservices architectures and AI workloads. Its ability to integrate MCP makes it particularly relevant for AI gateway scenarios where model context and dynamic traffic control are critical.
https://github.com/apache/apisix
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