ScalePad MCP (Model Context Protocol) is part of the ScalePad Platform. It connects your ScalePad data and workflows to compatible AI tools so you can work with live client context directly in your AI workspace, instead of copying and pasting between systems.

This article gives a high-level overview of what ScalePad MCP is and what it can help you do. Full technical setup and configuration details are available in the ScalePad MCP documentation and recipes linked below.

What is ScalePad MCP?

ScalePad MCP (Model Context Protocol) is the connection layer between your ScalePad apps and modern AI tools.

In plain terms, ScalePad MCP:

• Connects an AI tool (such as Claude Desktop, Cursor, or other MCP-capable tools) to the ScalePad API.
• Gives the AI live client context from ScalePad, instead of a blank prompt.
• Lets the AI help you review, plan, and take action using your ScalePad data, not just generate generic answers.

Instead of logging into multiple tools and copying information into prompts, MCP brings ScalePad data and actions into your AI workspace.

How ScalePad MCP relates to the ScalePad API

ScalePad MCP is built on the same data and actions that are available through the ScalePad API. It lets you use those API capabilities directly from compatible AI tools, without needing to work with the API yourself. The API defines what is possible, and MCP focuses on making that power easier to use in your everyday workflows.

Who is ScalePad MCP for?

ScalePad MCP is designed for MSPs that want to use AI in a practical, workflow-focused way, not just for summaries or experiments.

It's especially relevant if you:

• Are already exploring AI tools in your business.
• Want to move faster without adding manual admin work.
• Care about turning client context into concrete actions and outcomes.
• Need more connected workflows across planning, compliance, and quoting.
• Are looking for better ways to prepare for strategic client conversations (such as QBRs or vCISO reviews).

You don't need to be a developer to start using MCP. To get started, you just need a ScalePad API key, a compatible AI client, and one real workflow you want to improve.

What can ScalePad MCP help you do?

ScalePad MCP lets you use AI tools to view, summarize, and organize your ScalePad data in one place, instead of manually moving information between separate systems.

With ScalePad MCP, you can:

• Work with live client context in AI
  Use AI tools to explore information from Lifecycle Manager, ControlMap, and Quoter without exporting or re-typing data.
• Reduce switching between systems
  Ask questions, review context, and plan next steps in an AI workspace, instead of bouncing between multiple applications and tabs.
• Turn strategy into action more consistently
  Move from questions to answers to actions in a single flow, helping you follow through on plans, recommendations, and client initiatives with less friction.
• Use AI for specific client work
  Use AI tools to help prepare for client conversations, review risks and opportunities, and organize follow-up actions based on the data already stored in ScalePad.

At a platform level, ScalePad MCP helps turn ScalePad from a system of record into more of a system of action inside AI, by connecting key experiences across Lifecycle Manager, ControlMap, and Quoter into a more unified workflow.

Getting started with ScalePad MCP

To start using ScalePad MCP with your AI tools, you'll need a few things in place:

• A ScalePad API key to allow an AI tool to connect to ScalePad via MCP.

See Generating an API key in ScalePad Hub for instructions on how to create an API key.

• A compatible AI client that supports MCP configuration.
• At least one real-world workflow you want to explore first (such as QBR preparation, compliance review, or roadmap cleanup).

From there, you can:

1. Use the ScalePad MCP page to walk through the high-level setup experience.

• ScalePad MCP page (Setup Overview)

2. Start with a recipe or example instead of a blank prompt so you can see what MCP can do in a practical workflow.

• ScalePad MCP recipes, prompts, and examples

3. Visit the MCP documentation if you want more technical detail.

• ScalePad MCP documentation

FAQ

Do I need to be a developer or learn code?

No. You do not need to be a developer to begin exploring ScalePad MCP.

The goal is to keep MCP approachable and practical, using guided setup, prompts, recipes, and examples to help you get started.

Do I need a specific AI tool?

You need an AI client that supports MCP configuration. Currently supported tools are:

• Cursor
• Windsurf
• GitHub Copilot (VS Code)
• Claude
• Claude Code
• Copilot Studio
• Roo Code
• Codex

The MCP documentation lists supported clients and client-specific notes.

Which ScalePad Products does MCP work with?

ScalePad MCP works with ScalePad products such as Lifecycle Manager, ControlMap, and Quoter, using the ScalePad API as the foundation.

Does ScalePad MCP replace the ScalePad API?

No, MCP is built on top of the ScalePad API. The API remains the underlying way to access ScalePad data and capabilities. MCP makes it easier to use that access inside compatible AI tools.

For full details on API behavior and coverage, see the API documentation here:

• ScalePad API documentation