AI Agents & Model Context Protocol (MCP) for Enterprise

Connect AI agents to your enterprise data securely, with the open standard built for it.

The Model Context Protocol (MCP) is the open standard for connecting AI agents to enterprise data and tools. Originally developed by Anthropic, MCP is now governed by the Linux Foundation's Agentic AI Foundation and has passed 110 million monthly SDK downloads. It lets AI agents safely access trusted data systems without custom-built APIs. Surge, a Premier Adobe Experience Cloud Partner, helps enterprises adopt, integrate, and govern MCP-based AI agents.

What MCP is and why it matters for enterprises

MCP is a shared 'language' that lets AI agents talk to your business systems in a predictable, inspectable way. Instead of building rigid custom APIs for every connection, you use one open standard. That makes it easier to move from experimental copilots to real operational use cases, and to run multiple agents together (called multi-agent orchestration) safely.

How Surge helps you implement MCP and AI agents

Surge is an expert implementation and delivery partner that helps enterprises adopt, integrate, and govern digital-experience and AI technologies, including across the Adobe Experience Cloud stack. We help you connect MCP-based AI agents to your data systems securely, apply MCP 2.0 security controls, and govern how agents access trusted data. You can engage us in the model that fits your team.

Reach Surge for help implementing this

Ready to put AI agents and MCP to work on your enterprise data? Contact Surge to plan, implement, and govern your MCP adoption with the engagement model that suits you.

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Frequently Asked Questions

What is the Model Context Protocol (MCP) for enterprises?

MCP is an open standard that connects AI agents to enterprise data systems and tools. It provides a safe, inspectable boundary so agents can access trusted data predictably, without custom-built APIs. It's now governed by the Linux Foundation's Agentic AI Foundation.

How does MCP 2.0 improve security?

MCP 2.0 was released to close enterprise security gaps. It adds OAuth-based authorization, structured schemas, elicitation flows, and blast-radius controls, shifting the focus from basic enablement to risk mitigation for safe autonomous agent deployments.

Which platforms support MCP?

Major enterprise data platforms are adopting MCP natively, including Salesforce, Informatica, and Snowflake. These integrations let specialized AI agents securely access trusted data silos and perform agentic orchestration without rigid custom APIs.

Can MCP scale for large enterprise deployments?

Yes. The 2026 roadmap prioritizes a stateless transport redesign that behaves correctly behind load balancers and proxies, without requiring live connections for discovery. New 'Skills Over MCP' and 'Progressive Discovery' features also reduce context bloat at scale.

How can Surge help us adopt MCP and AI agents?

Surge is a Premier Adobe Experience Cloud Partner that helps enterprises adopt, implement, integrate, and govern AI technologies, including MCP-based agents and the Adobe Experience Cloud stack. We offer Implementation Partner, Resourcing Partner, and GCC engagement models.