Cloudflare has embraced the Model Context Protocol (MCP) to enhance its AI strategy across various business units, streamlining efficiency through agentic workflows. However, security risks such as authorization sprawl and prompt injection emerge from this widespread MCP adoption. To mitigate these risks, Cloudflare integrates robust security measures via its Cloudflare One SASE platform and Cloudflare Developer platform, ensuring efficient governance of AI usage. This blog outlines best practices for securing MCP workflows, detailing the architecture involving remote MCP servers, Cloudflare Access, and centralized MCP server portals.
The architecture allows for controlled access to corporate resources while maintaining visibility and governance. Innovations like Code Mode reduce token costs and context bloat by enabling dynamic tool discovery. Additionally, Cloudflare Gateway safeguards against unauthorized MCP access, while AI Security for Apps protects public-facing MCP servers. Continuous improvement and structured governance ensure a secure, efficient enterprise-level MCP deployment.
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