cloudflare-ai-gateway
Built by Metorial, the integration platform for agentic AI.
cloudflare-ai-gateway
Server Summary
Route AI requests
Monitor API usage
Manage multiple providers
Configure gateway caching
A Model Context Protocol (MCP) server that provides seamless integration with Cloudflare AI Gateway, enabling you to route AI model requests through Cloudflare's intelligent gateway layer. This server acts as a bridge between MCP-compatible applications and Cloudflare's AI Gateway infrastructure, giving you centralized control over your AI API traffic.
The Cloudflare AI Gateway MCP Server allows applications using the Model Context Protocol to leverage Cloudflare's AI Gateway capabilities. By routing your AI model requests through this server, you gain access to Cloudflare's global network infrastructure while maintaining the standard MCP interface that your applications already understand.
This integration is particularly valuable for teams already using Cloudflare's ecosystem or those looking to add an additional layer of reliability and monitoring to their AI operations.
The server provides a straightforward connection point between MCP clients and Cloudflare AI Gateway. When your application sends requests through this MCP server, those requests are automatically routed through Cloudflare's gateway infrastructure before reaching your AI model providers.
Organizations using multiple AI models across different applications can route all traffic through a single gateway point, making it easier to maintain consistent policies and monitoring across your AI infrastructure.
Developers can quickly switch between different AI providers without modifying application code, using Cloudflare AI Gateway's routing capabilities through the familiar MCP interface.
Production applications benefit from Cloudflare's global network performance and reliability features while maintaining the flexible MCP architecture for AI interactions.
The server operates as a standard MCP server, exposing tools and resources that correspond to AI model operations. When you invoke these operations through an MCP client, the server translates your requests into Cloudflare AI Gateway API calls, sends them through Cloudflare's infrastructure, and returns the responses back through the MCP protocol.
This architecture means you can continue using your existing MCP-compatible tools and workflows while gaining the benefits of Cloudflare's gateway layer.
If you're already invested in the Cloudflare ecosystem, this server provides a natural integration point for adding AI capabilities to your MCP-enabled applications. Even if you're not currently using Cloudflare, the server offers a compelling option for teams seeking a robust, globally distributed gateway for their AI traffic.
The combination of MCP's flexibility and Cloudflare's infrastructure creates a powerful foundation for building AI-powered applications that are both maintainable and scalable.