Imagine giving your business a new kind of “port”—one that lets artificial intelligence connect directly to your data and tools, understands every request, and executes it instantly. This isn’t a vision for the distant future. With the new Model Context Protocol (MCP) from Boost.space, it’s reality.
What Is MCP (Model Context Protocol)?
The missing link between AI systems and real-world data and automations.
The Model Context Protocol (MCP) is a new standard that enables LLMs (large language models) and other AI agents to communicate directly with software systems. An MCP acts as a universal interface—comparable to a USB-C port, but for business data and workflows. With MCP, AI can access structured data, run queries, and trigger automations securely and in real time.
In other words, 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.
Meet Boost.space MCP: Where AI Meets Action
Boost.space MCP is a groundbreaking addition to the Boost.space ecosystem. Our MCP technology enables AI-powered agents—like ChatGPT, Claude, or any MCP-compatible LLM—to communicate with your system in natural language and trigger actions instantly.
No code. No delay. No friction. Only results.
What makes Boost.space MCP is exceptionally powerful is the Remote MCP Server: it runs securely on Boost.space infrastructure, so you don’t need to worry about hosting or maintenance. Connect AI agents in seconds, interact with your system in real time, and receive structured responses, all through an intuitive AI chat interface.
Boost.space MCPs
MCP functionalities in Boost.space are available in two specialized forms:
1. Data Layer MCP
The Data Layer MCP equips AI agents to directly access, scan, analyze, and manage all your data stored in Boost.space. Whether you need a summary of sales this quarter, insights from a marketing campaign, or a deep-dive into inventory trends, just prompt the AI—and it delivers.
No manual exports, no siloed reports. All your information is AI-accessible, instantly.
2. Integrator MCP
Taking things a step further, the Integrator MCP connects AI directly to the Boost.space Integrator. This means AI doesn’t just view your data—it can actually create automations, trigger workflows, and synchronize actions across all your connected apps and systems.
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.
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? The Boost.space MCP is able not just to 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.
Key Benefits of Boost.space MCPs
- Cloud-based: Runs entirely within our 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.
Experience the MCP in Action
Boost.space MCP gives any business the ability to turn AI into an effective operator—reading data and running automations with a single prompt.
To see how Model Context Protocol can work for your team, book a demo here. Get a walkthrough of the setup, test real examples, and explore how AI-driven workflows can streamline your daily operations.
