How MCPs Work

Model Context Protocol (MCP) is an open standard that enables AI assistants to connect securely with data sources and tools.

The MCP Architecture

USER

Asks question

AI ASSISTANT

Claude, ChatGPT, etc.

MCP SERVER

Protocol layer

DATA SOURCE

APIs, DBs, Files

Secure by Design

MCPs run locally on your machine with explicit permission controls. Your data never passes through third-party servers.

Universal Protocol

One protocol works across all AI assistants. Build once, use with Claude, ChatGPT, or any MCP-compatible AI.

Real-time Access

AI assistants get live data from your sources. No more copying and pasting or outdated information.

MCPs Amplify YOUR Expertise

AI and MCPs aren't magic — they're force multipliers for skilled professionals. The quality of output directly reflects the expertise of the person using them.

With Professional Expertise:

  • A CFO using our Chief Financial Officer platform uncovers strategic insights competitors miss
  • A Product Manager leverages deep domain knowledge to orchestrate complex workflows
  • An experienced developer asks the right questions and recognizes valuable patterns

Without Domain Knowledge:

  • Generic questions yield generic answers
  • Critical context and nuance are missed
  • Inability to validate or act on recommendations
  • Tools become expensive toys instead of profit drivers

The Multiplier Effect: MCPs don't replace expertise — they amplify it. A skilled professional with AI tools outperforms 10 people without them. But without the underlying knowledge, even the best tools produce mediocre results. This is why our platforms are designed for and marketed to professionals who already excel in their domains.

Step-by-Step Process

1

User asks a question

"Show me unpaid invoices from last month" - The user makes a natural language request to the AI assistant.

2

AI identifies the intent

The AI understands it needs invoice data and identifies which MCP server can provide this information.

3

MCP server fetches data

The MCP server securely connects to your data source (e.g., QuickBooks) and retrieves the requested information.

invoices(method: "list", status: "unpaid", start_date: "2024-11-01")
4

AI processes and responds

The AI receives the data, analyzes it, and provides a human-friendly response with actionable insights.