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Get AI-Ready with MCP: When & How

Over the past few days, we’ve seen a growing wave of interest in Model Context Protocol (MCP)—not just across the broader tech and AI automation communities, but right here in the Boost.space ecosystem. Power users, builders, and AI teams have all been asking the same thing: “Will Boost.space support MCP?” The short answer? Yes—and we’re getting ready to make it real.

Get AI-Ready with MCP: When & How

Most AI agents can chat. Few can actually do things.

The MCP (Model Context Protocol) changes that. Make’s MCP Server connects AI systems—like assistants or autonomous agents—directly to Make scenarios. That means they can trigger real workflows, update systems, and take action through the automations you’ve already built. And yes, Boost.space is getting ready to support it.

With the new cloud-native version of MCP on the way, we’re getting ready to bring this power directly into Boost.space.

What Is MCP (Model Context Protocol)?

MCP is the missing link between AI systems and real-world data and automations.

It acts as a bridge—letting AI agents or assistants discover your scenarios, send them structured inputs, and receive outputs they can use to decide what to do next. No custom API work. Just clean, AI-friendly access.

Integrator MCPs

A powerful local instance for seamless automation.

The Integrator Local MCP Server is a local instance of Boost.space’s MCP (Make-Compatible) Server, enabling smooth interaction with our Integrator. It allows you to run scenarios directly from your local environment, connecting systems and automating processes with zero delay.

🔑 Key Benefits:

  • Local Deployment: Fully runs within your own infrastructure, ensuring complete control.
  • Scenario Execution: Triggers and executes Make scenarios effortlessly.
  • Deep Integration: Seamlessly integrates with the Boost.space Integrator for optimized automation.

This solution is ideal for teams that need to automate locally while still tapping into Boost.space’s powerful data syncing and enrichment features. Read more about Integrator Local MCP Server in our Documentation.

From local automation to seamless cross-system sync—Boost.space makes it possible.

Deploy Make scenarios instantly. No config. No local setup.

The Cloud MCP Server is your always-on command center for automated workflows—fully cloud-native, fully integrated with the Boost.space ecosystem.

Unlike its local counterpart, it requires zero environment setup (no API keys, no manual configs). It’s the fastest way to run Make scenarios at scale—ideal for enterprise teams that need to sync, enrich, and automate across systems without delay.

🔑 Key Benefits:

  • Zero-setup deployment: No need to configure env files or secrets.
  • Secure & scalable: Hosted and maintained by Boost.space in the cloud.
  • Instant sync: Perfect for launching Make-powered flows with no friction.
  • Enterprise-ready: Use across teams, tools, and departments.

From idea to automation—faster than ever.

Boost.space MCPs

The Local MCP Server is a self-hosted instance of Boost.space’s Model Context Protocol, giving you full autonomy over how your data flows, syncs, and powers your AI workflows. It’s designed for teams that want to harness the power of LLMs and automation—without compromising on privacy or control.
Key Benefits:
  • Self-Hosted: Runs entirely within your infrastructure for full data sovereignty.
  • LLM-Ready: Feed your own large language models with secure, structured, real-time data.
  • Plug & Play: Connects seamlessly with Boost.space’s ecosystem and your existing tools.
From internal data sync to powering your own AI copilots—the Local MCP Server puts you in the driver’s seat.

Imagine a world where you type into ChatGPT (or similar models) and say, “Hey, generate a quote for me and trigger my pre-configured scenario that sends it and returns the confirmation in chat.” This is where Integrator MCP comes in—control your workflows directly through ChatGPT (or similar).

But let’s take it a step further. Picture typing: “Hey ChatGPT, find all tasks assigned to Matthew and tell me what he’s doing next week?” The AI connects directly to your Boost.space data and gives you the response. Now, imagine telling the AI to create a task for Matthew: “Hey AI, create a task for Matt.” And it does. This type of Boost.space MCP, which enables AI to interact with your Boost.space data, is coming by the end of Q2.

One version enables control of workflows. The other, Boost.space MCP, lets AI directly interact with your data inside Boost.space.

Imagine having ChatGPT connected directly to your SSOT (or Perplexity, Gemini, Claude or any LLM that supports MCP) with direct access to your data within any module and space. And the best part? This MCP will be able to not just READ but also to WRITE, so you’ll be able to analyze, enrich, and create whatever just by talking to an AI just like you do everyday.

Join us for our upcoming community webinar on June 18th and find out all there is to know about the Boost.space’s Database (SSoT) MCP. 

Published by Liesbeth Bronsema

Marketing & Community Manager