MCP: The Integration Standard Enterprise AI Was Waiting For
Arjun Mehta
Head of AI Engineering, RippleCode
Two years ago, connecting an AI assistant to your CRM meant writing bespoke glue code that broke with every model upgrade. The Model Context Protocol (MCP) changed that — it's now the default way we expose enterprise systems to AI.
What MCP actually solves
MCP standardizes how models discover and call tools, read resources and receive prompts. Build one MCP server around your ticketing system, and any compliant client — Claude, internal agents, IDE assistants — can use it. Integrations stop being point-to-point and become a hub-and-spoke platform.
The enterprise rollout pattern
- Wrap internal APIs in MCP servers with typed, narrowly-scoped tools
- Authenticate per-user, not per-service — the agent inherits the caller's permissions
- Log every tool invocation with arguments and results for audit
- Version servers like any other API product
Security considerations that matter
Treat every MCP tool as an attack surface. Validate inputs as hostile, scope tokens tightly, and never expose raw database access as a tool. We also recommend an allowlist model for which servers agents may connect to — tool sprawl is the new shadow IT.
Getting started
Start with read-only servers over your knowledge systems — wikis, docs, dashboards. They deliver immediate assistant value with minimal risk, and they teach your teams the operational patterns before you expose write actions.