At Serverless Solutions, we’re keeping a close eye on Microsoft’s rapidly evolving AI strategy—especially where it intersects with enterprise productivity and automation. One of the more intriguing developments is NLWeb (Natural Language Web), a new open initiative designed to bridge the gap between AI agents and web applications.
What Is NLWeb?
NLWeb is built on the Model Context Protocol (MCP), enabling AI agents to interact with web-based services in a structured, secure way. Rather than being confined to isolated tools, AI agents powered by NLWeb can:
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Retrieve and update data
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Perform actions on behalf of users
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And operate within conversational interfaces embedded directly into websites
This approach significantly expands the reach of AI agents, making them more capable of navigating and working across the open web.
Why It Matters
Crucially, NLWeb is an open project. It’s not limited to Microsoft technologies or platforms. The team behind it includes contributors to previous web standards, signaling an intent to build something that’s interoperable and broadly adopted—not proprietary.
As organizations embrace AI agents to support business processes, the need for secure, standardized orchestration across systems is only growing. NLWeb answers that need with:
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Full support for MCP
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Agent-to-agent (A2A) communication protocols
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And an emphasis on scalable, cross-platform automation
Enterprise Implications
For enterprises, NLWeb opens the door to integrating AI agents with both internal tools and third-party web platforms. Whether it’s automating form submissions, pulling insights from client-facing systems, or coordinating tasks across digital workflows, NLWeb lays the groundwork for more intelligent, connected agents.
At Serverless Solutions, we’re exploring how NLWeb could be leveraged within client environments—especially alongside Microsoft 365 Copilot and other AI-powered services.
Looking Ahead
As NLWeb continues to evolve, we’ll be closely monitoring its trajectory and identifying opportunities for real-world enterprise use cases. Its open nature, broad industry alignment, and focus on secure AI orchestration make it a project to watch.
