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10 API Gateways That Support MCP
- Model Context Protocol (MCP) enables AI tools like large language models to connect to custom data sources and interact with external tools and APIs, making it crucial for agentic AI.
- The rise in MCP's popularity has led to a demand for API gateways that support MCP to facilitate testing new environments, formatting responses, and enhancing API security.
- Azure API Management is a top choice for enterprise AI deployments within the Microsoft stack, offering tight Azure integration and compliance.
- APIPark, an open-source gateway, is ideal for lightweight AI apps and prototyping, with simple setup and flexible REST proxying.
- Apache APISix offers extensible K8s-native LLM routing with Lua plugins and WebAssembly for AI-centric extensions, making it suitable for dynamic routing.
- Kong Konnect is suited for high-scale AI platforms, featuring federated APIs and a rich plugin ecosystem for scalable deployments.
- Multiple gateways like Solo.io's Agent Gateway, Moesif, WunderGraph MCP Server, Tyk API Gateway, and Gravitee.io Agent Mesh provide strong support for AI-driven workflows and management.
- API gateways like Moesif provide detailed analytics for observing MCP interactions, offering insights for monitoring and enhancing AI API flows.
- Overall, combining API gateways with MCP enhances security and customizability, serving as a bridge between traditional API ecosystems and AI-driven tools for autonomous AI.
- Each gateway, like Azure API Management, Apache APISix, Kong Konnect, APIPark, and others, caters to specific needs based on scalability, AI orchestration, analytics, and frontend support.
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