MCP support is becoming table stakes for enterprise AI agents

Model Context Protocol crossed 10,000+ enterprise server deployments by April 2026. For agent platforms, MCP support is shifting from 'nice to have' to 'expected.'

How the AI Hive team is thinking about MCP integration:

→ Inbound MCP: agents in AI Hive can consume MCP servers, including internal/private ones — enterprises increasingly want custom MCP servers for their proprietary tools.

→ Outbound MCP: AI Hive workflows can be exposed as MCP servers themselves, so other agent platforms in the org can call into AI Hive workflows.

→ Governance: every MCP call (in or out) is logged in the audit trail, with PII masking and access control applied before the call leaves the controlled environment.

The harder question we keep wrestling with: how do you give enterprises the flexibility of MCP without inheriting the security surface area of a public protocol?

Curious what other teams here are doing with MCP — particularly in regulated environments.

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