How MCPs Work
Model Context Protocol (MCP) is an open standard that enables AI assistants to connect securely with data sources and tools.
The AI Revolution You've Been Waiting For
Before: Raw ChatGPT app
- •AI gives advice, you do the work
- •"Here's how to reconcile accounts in QuickBooks..."
- •Copy-paste between ChatGPT and your tools
- •Re-explain your context every conversation
- •Generic advice for generic businesses
After: ChatGPT + MCP
- •AI does the work, you supervise
- •"I've reconciled 47 accounts, here are 3 anomalies..."
- •Direct execution in your actual tools
- •Remembers YOUR workflows and preferences
- •Custom AI that knows YOUR business
It's ChatGPT — But With YOUR Brain
Imagine ChatGPT that doesn't just know about business in general, but knows YOUR business specifically:
Your Preferences
How you like reports formatted, which metrics matter to you, your risk tolerance
Your Workflows
Your specific approval chains, your reconciliation process, your audit requirements
Your Decisions
Past categorizations, historical patterns, your professional judgment encoded
MCPs turn generic AI into YOUR specialized assistant — one that executes at 100x speed with your expertise built-in.
The MCP Architecture
USER
Asks question
AI ASSISTANT
Claude, ChatGPT, etc.
MCP SERVER
Protocol layer
DATA SOURCE
APIs, DBs, Files
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 No more copying and pasting or outdated information.
The Evolution of MCPs
Today: Professional Tools
MCPs are sophisticated "human-in-the-loop" tools for professionals and advanced users. They require expertise to direct, validate, and implement — think of them as having 100 skilled assistants who execute your strategic thinking at superhuman speed.
Imagine: A CFO says "analyze our cash burn and project runway with three scenarios" — MCP pulls live QuickBooks data, models scenarios, identifies cost-cutting opportunities. A CTO says "audit our codebase for scalability bottlenecks" — MCP spawns specialized agents that review architecture, find N+1 queries, suggest caching strategies. Real work, real execution, real results. But only in the hands of professionals who know what to ask for and how to validate the output.
Tomorrow: Invisible Infrastructure
MCPs will power consumer applications behind the scenes. When your AI does a "web search" or accesses your calendar, that's an MCP at work. Users won't even know they're using MCPs — they'll just experience AI that actually does things instead of just talking about them.
In the not-too-distant future, imagine no more clicking through menus, forms, or dashboards. Just conversation. "Book my flight to NYC next Tuesday under $400" — done. "Show me why revenue dropped" — instant analysis. Traditional UIs replaced by natural language with zero learning curve, lower bandwidth (text is 1000x smaller than UI assets), and infinite flexibility. MCPs make this possible — AI needs hands to manipulate the digital world. The UI disappears. Only capability remains.
Our Custom MCPs
Chief Financial Officer
For CPAs, CFOs & Financial Consultants
Transform your QuickBooks data into CFO-level strategic insights. This MCP connects directly to financial systems to perform real-time analysis that would take teams of analysts weeks to complete.
Real scenarios it handles: "Project our cash runway with three burn scenarios." "Find customers likely to churn based on payment patterns." "Identify $100K+ in cost savings opportunities." "Generate investor-ready financial reports with variance analysis."
The 10x multiplier: What takes a financial analyst 10 hours — pulling data, building models, creating visualizations — happens in minutes. But here's the catch: it amplifies expertise, not replaces it. A CFO sees strategic opportunities; a novice sees confusing numbers.
⚠️ Professional Supervision Required
Only CPAs, CFOs, and financial consultants should operate this tool. You need to validate against regulations, understand tax implications, and know when the AI's suggestions could bankrupt vs. breakthrough.
Product Manager
For CTOs & Technical Architects Who Code
Orchestrate armies of AI agents to handle complex software development at scale. This MCP spawns specialized agents that work in parallel — one researching libraries, another writing tests, another reviewing architecture — all coordinated under your strategic direction.
Real scenarios it handles: "Spawn agents to refactor our authentication system for OAuth 2.0." "Audit all 26 microservices for N+1 queries and fix them." "Research and implement the best caching strategy for our use case." "Coordinate a full migration from REST to GraphQL."
Force multiplication: One CTO can now oversee what used to require a team of 10 architects. But this isn't autopilot — it's power steering. You still need to know where you're going, spot architectural flaws, and understand when the agents are building a house of cards vs. a scalable system.
🚨 CTO-Level Tool Only
If you can't code, don't touch this. Seriously. It's like giving a toddler the keys to a bulldozer. You need years of architecture experience to spot when agents are creating technical debt that will haunt the developers you hire to fix the mess you've made.