Cloudflare Accelerates AI Agent Development With The Industry's First Remote MCP Server
AI agents – AI-enabled systems that can act autonomously, make decisions, and adapt to changing environments – represent the future of AI. AI agents have the potential to unlock massive productivity gains, and yet businesses are struggling to build agents that deliver real return on investment. Building agents requires access to three core components: AI models for reasoning, workflows for execution, and APIs for access to tools and services. In order to build scalable agentic systems, organizations need access to a platform that can provide each of these components in a scalable, cost-efficient way.
“Cloudflare is the best place to build and scale AI agents. Period. The most innovative companies out there see that agents are the next big frontier in AI, and they’re choosing
With today’s announcement,
Unlocking smart, autonomous actions with the industry’s first remote MCP server
MCP is a fast-growing open source standard that lets AI agents interact directly with external services. This shifts AI from simply giving instructions to actually completing tasks on a user’s behalf – whether that’s sending an email, booking a meeting, or deploying code changes. Previously, MCP has been limited to running locally on a device, making it accessible to developers and early-adopters but hindering wider, mainstream adoption.
Building intelligent, contextually aware AI agents with Durable Objects, now on free tier
Previously only available as part of paid plans, developers can now access Durable Objects on Cloudflare’s free tier, expanding broad and democratized access to a critical component for building agents. Durable Objects are a special type of Cloudflare Worker that combine compute with storage, allowing you to build stateful applications in a serverless environment without managing infrastructure. Durable Objects provide the ideal foundation for AI agents that need to maintain context across interactions, such as remembering past preferences or changing behavior based on prior events. Cloudflare’s network ensures Durable Objects scale out to millions of simultaneous customer interactions and can operate agents near the original request, ensuring each customer has a fast, low latency response.
Deploying durable, multi-step applications with Workflows, now generally available
Workflows allows you to build multi-step applications that can automatically retry, persist, and run for minutes, hours, days, or weeks. Workflows is now generally available, providing developers and organizations with a reliable way to build and manage multi-step applications infused with AI. For example, building an agent Workflow to book a trip would require searching for flights in a price range, which would require a persistent search over a certain predetermined time span. Then, once the flights have been found, an agent would purchase the flights with traveler information and a credit card. And finally, send confirmation to each traveler in the party.
Paying only for what you use, for the most cost-efficient AI deployment
AI inference is hard to predict and inconsistent in nature, unlike training, because it relies on human behavior, including the time of day and what action a person wants to take. With traditional hyperscalers, this requires organizations to prepare and provision for the highest level of capacity they can expect, even if that level only happens at peak times.
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To learn more, please check out the resources below:
- Get started building at agents.cloudflare.com
- Blog: Piecing together the Agent puzzle: MCP, authentication & authorization, and Durable Objects free tier
- Blog: Cloudflare Workflows is now GA: production-ready durable execution
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