Why Model Context Protocols (MCPs) Might Be the Future of AI Integration
Imagine being able to get your AI agent to access any application or datasource in your enterprise.
Every doc. Every meeting. Every app being used.
That’s the promise of Model Context Protocols (MCPs) — and they might be the next major unlock in enterprise AI.
What is an MCP?
MCPs are a new standard developed by Anthropic that let AI models “remember” and access massive amounts of contextual data — from third-party apps, internal tools, to private company files — in real-time.
Instead of cramming data into a prompt (like we do with ChatGPT), an MCP acts like a contextual bridge between your tools and the AI model. You can think of it like an always-on layer that connects:
Your CRM (like HubSpot)
Your file storage (like Google Drive)
Your internal database
Even your email inbox
The model doesn’t just guess anymore — it knows.
Why does this matter?
Most AI tools today operate in silos.
You ask a question, and they give you an answer based only on what’s in the prompt or trained data. But in the real world, your business context lives across a dozen systems.
With MCPs, you can build agentic systems that think like internal team members — because they’re drawing from the same source of truth.
Think:
→ An AI assistant that can write a report based on the last 3 quarters of financials.
→ A customer support bot that pulls in product specs and Slack notes from engineering.
→ A founder’s agent that preps a board meeting deck using real data from Notion, Excel, and Gmail.
What’s the catch?
MCPs are still early.
They require custom setup, backend integration, and some architectural thinking.
But we believe they’re a foundational shift — from static prompts to persistent memory.
And we’re already building with them.
Want to explore what MCP-powered AI could look like in your business?
We’re building agentic systems for SMEs ready to scale with AI — not just experiment.
Book a free strategy call with us to see how we can help!