MCP in the Enterprise

Enterprise platforms are racing to position themselves as the "control plane" for AI agents — the layer that manages which agents can do what, with which data, under what governance. ServiceNow calls it Workflow Data Fabric. Salesforce calls it Agent Fabric. Microsoft calls it Copilot Studio. All of them are answering the same question: how do you connect AI agents to enterprise systems safely, at scale, with audit trails and compliance controls?

MCP fits into this landscape as the integration protocol underneath these control planes. ServiceNow's AI agents need to read from CMDB tables, create incidents, update change requests — these are MCP server operations. Salesforce's agents need to query opportunities, update contacts, and trigger workflows — also MCP server operations. The control plane handles governance (who can do what). MCP handles connectivity (how they do it). The two layers are complementary, not competitive.

The enterprise MCP adoption pattern is predictable. Phase one: developers use MCP locally for productivity tools (GitHub, filesystem, databases). Phase two: teams build internal MCP servers for company-specific tools (internal APIs, data warehouses, deployment pipelines). Phase three: the organization deploys a centralized MCP gateway that manages server discovery, authentication, authorization, and audit logging across the company. Most enterprises in 2026 are between phases one and two. The infrastructure for phase three is being built now.

1. Phase 1: Developer Productivity Individual developers connect local MCP servers to their AI coding tools. GitHub, filesystem, and database servers are the starting point. No central governance. Low risk. High immediate value.
2. Phase 2: Team Integration Teams build custom MCP servers for internal tools — CI/CD pipelines, internal APIs, data warehouses. Shared server configurations. Informal governance. Medium risk, requires credential management.
3. Phase 3: Enterprise Gateway Centralized MCP infrastructure with server discovery, authentication proxy, authorization policies, and audit logging. IT manages the MCP server catalog the way it manages SaaS applications today.