Cloudflare Accelerates AI Agent Development with Industry-First Remote MCP Server and Scalable Developer Tools
In a groundbreaking move, Cloudflare, Inc. (NYSE: NET), the leading connectivity cloud company, has unveiled several new offerings designed to accelerate the development of AI agents. These innovations position Cloudflare’s Developer Platform and global network as the premier destination for building and deploying AI agents, eliminating cost and complexity barriers that have historically hindered progress in this space. With the introduction of the industry’s first remote Model Context Protocol (MCP) server, expanded access to durable workflows, and a free tier for Durable Objects, Cloudflare is empowering developers to create powerful AI agents in minutes rather than months—simply, affordably, and at scale.
The Future of AI Agents: Unlocking Autonomous Intelligence
AI agents—AI-enabled systems capable of autonomous decision-making, task execution, and adaptability—are widely regarded as the next frontier in artificial intelligence. These systems hold immense potential to drive productivity gains across industries. However, businesses have struggled to build AI agents that deliver tangible returns on investment. Developing scalable AI agents requires seamless access to three core components: AI models for reasoning, workflows for execution, and APIs for integrating tools and services. Achieving this at scale necessitates a platform that is both cost-efficient and robust.
“Cloudflare is the best place to build and scale AI agents. Period,” said Matthew Prince, co-founder and CEO of Cloudflare. “The most innovative companies recognize that agents are the future of AI, and they’re turning to Cloudflare because we provide everything developers need to move fast and build at scale on our Workers platform. From our globally interconnected network to our cutting-edge developer tools, Cloudflare was built for this moment.”
Introducing the Industry’s First Remote MCP Server
One of the standout features of Cloudflare’s latest announcement is the introduction of the industry’s first remote Model Context Protocol (MCP) server. MCP is an open-source standard that enables AI agents to interact directly with external services, transforming AI from a tool that simply provides instructions into a system capable of completing tasks autonomously. Whether it’s sending emails, booking meetings, or deploying code changes, MCP empowers AI agents to act on behalf of users.
Previously, MCP servers were limited to running locally on a device, which restricted their accessibility to developers and early adopters. Cloudflare has addressed this limitation by enabling developers to build and deploy remote MCP servers on its platform. This allows any AI agent to securely connect over the Internet and interact with external services like email platforms without requiring a locally hosted server. Additionally, MCP servers built on Cloudflare can retain context, ensuring a persistent and ongoing experience for users.
Through partnerships with Auth0, Stytch, and WorkOS, Cloudflare is also simplifying authentication and authorization processes, making it easier for users to delegate permissions to AI agents. This streamlined approach dramatically reduces the complexity of secure agent deployment.
Democratizing Access with Free Tier for Durable Objects
Another key innovation is the expansion of Durable Objects to Cloudflare’s free tier. Previously available only as part of paid plans, Durable Objects are now accessible to all developers, democratizing access to a critical component for building AI agents. Durable Objects combine compute and storage, enabling developers to create stateful applications in a serverless environment without managing infrastructure.
This capability is particularly valuable for AI agents that need to maintain context across interactions, such as remembering user preferences or adapting behavior based on past events. Cloudflare’s global network ensures that Durable Objects can scale to support millions of simultaneous customer interactions while operating near the original request, delivering fast, low-latency responses.
Streamlining Multi-Step Applications with Workflows
Cloudflare has also announced the general availability of Workflows, a feature that enables developers to build multi-step applications infused with AI. Workflows allow for automatic retries, persistence, and extended runtimes spanning minutes, hours, days, or even weeks. For example, an AI agent tasked with booking a trip could search for flights within a specified price range, persistently monitor results over time, purchase tickets using traveler information, and send confirmations to all parties involved.
This functionality ensures that complex, multi-step processes can be executed reliably and efficiently, providing developers with a robust framework for creating intelligent, context-aware AI agents.
Cost-Efficient AI Deployment with Serverless Scaling
Traditional hyperscalers often require organizations to provision resources for peak capacity, even if those levels are only reached occasionally. This approach can lead to unnecessary costs and inefficiencies. Cloudflare addresses this challenge with its serverless platform, which automatically scales inference and AI agent resources based on demand—from zero to global scale in milliseconds. This pay-as-you-go model ensures that organizations only pay for what they use, significantly reducing costs compared to traditional cloud deployments.
“Cloudflare offers a developer-friendly ecosystem for creating AI agents, including a free tier for Durable Objects and serverless options for AI inference,” noted Kate Holterhoff, senior analyst at RedMonk. “These low-cost, easy-to-use options could empower more businesses to adopt and experiment with agentic AI.”
A Global Network for Low-Latency AI Experiences
With GPUs deployed across more than 190 cities worldwide, Cloudflare brings AI capabilities closer to users than ever before. This proximity ensures low-latency experiences, making AI agents faster and more responsive. By combining its globally interconnected network with advanced developer tools, Cloudflare is breaking down barriers that have kept AI out of reach for many businesses.
Building the Future of AI with Cloudflare
Cloudflare’s latest offerings represent a significant leap forward in AI agent development. By introducing the industry’s first remote MCP server, expanding access to Durable Objects, and providing cost-efficient, scalable solutions, Cloudflare is removing the obstacles that have hindered widespread adoption of AI agents. Developers and businesses alike can now harness the power of AI to build intelligent, autonomous systems that drive real-world value.
For organizations seeking a reliable, secure, and scalable platform to develop AI agents, Cloudflare stands out as the clear leader. With its commitment to innovation and developer empowerment, Cloudflare is shaping the future of AI—one agent at a time.
