Cloudflare Enables Remote Hosting for Anthropic's MCP Servers

Cloudflare has introduced the capability to build and deploy remote Model Context Protocol (MCP) servers on its platform, enhancing accessibility for AI applications. This development allows developers to utilize the protocol without local installations, leveraging Cloudflare's global network.

Cloudflare has introduced the capability to build and deploy remote Model Context Protocol (MCP) servers on its platform, according to a blog post. This expansion allows developers to utilize the protocol, designed for standardized interaction between AI applications and external services, without requiring local installations. Remote MCP servers can now leverage Cloudflare's global network, enhancing accessibility for web-based and mobile applications integrating AI agents with external resources.

Key features of this new offering include simplified deployment, enhanced accessibility, and built-in OAuth support for secure authorization and access control. The remote MCP servers enable AI agents to seamlessly interact with various online services and tools, fostering innovative AI workflows.

The introduction of remote MCP servers marks a significant shift from local installations, allowing a broader audience to access and utilize MCP-enabled applications. This development is expected to open up new possibilities for AI applications, making them more accessible to everyday users and expanding their use cases beyond traditional desktop environments.

We hope you enjoyed this article.

Consider subscribing to one of several newsletters we publish like Silicon Brief.

Also, consider following us on social media:

Subscribe to Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more