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AI APP DEVELOPMENT · MCP INTEGRATIONS

Custom AI Apps Built on Your Own Data

MCP-based integrations connect your business systems and data to the models that power them, not a generic wrapper around a chatbot API.

Tell me what system you want connected and I’ll show you what an MCP integration actually looks like for it.See All Services

Custom-builtnot a generic wrapper

MCP-basedintegrations to your real systems

Connectedto your CRM and business data

Internal or client-facingbuilt either way

THE GENERIC-WRAPPER PROBLEM

Why a Chatbot Wrapper Isn’t the Same as an AI App

A thin wrapper around a public model API can answer generic questions. It can’t see your CRM, your project data, or your internal documentation, which is exactly the context that makes an AI app actually useful.

Access

Data Connections

MCP-based integrations give the model real access to your CRM and business systems, not just a static prompt.

Fit

Custom Development

The app gets built around your actual workflow, not retrofitted from a generic template.

Ownership

Internal Tooling

Dashboards and internal tools built this way stay yours, running on infrastructure you control.

INTEGRATIONS

MCP-Based Integrations to Systems You Already Run

The Model Context Protocol lets an AI app read and act on real data from your CRM and business systems directly, instead of relying on manual copy-paste context.

MCP-based integrations to CRM and business systems
Real-time data access, not a static knowledge dump
Built around your actual data structure, not a generic schema
Secure, scoped access, not blanket API keys

CUSTOM BUILDS

Internal Tools and Dashboards Built to Your Stack

From internal dashboards to client-facing agents, every build starts from your actual systems and workflow, not a repackaged template with your logo swapped in.

Custom agent development for internal or client-facing use
Internal tool and dashboard builds tied to real data
Architecture handed off clearly, not a black box
Built to extend as your systems grow

FAQ

Frequently Asked Questions

What is MCP and why does it matter?

Model Context Protocol is a standard for connecting AI models to real data sources and tools securely. It’s what lets an app read your actual CRM data instead of relying on a static prompt someone wrote once.

Can this work with our existing CRM?

Yes. MCP integrations are built to connect to the systems you already run, rather than requiring a migration to a new platform.

Is this only for customer-facing chatbots?

No. Most builds are internal tools and dashboards. Customer-facing agents are one use case among several.

Who maintains the app after launch?

Handoff documentation is part of every build. Ongoing maintenance can stay in-house or continue with us, depending on your team’s capacity.

NEXT: SCOPE YOUR AI APP

Ready for an AI App Built on Your Own Data?

Tell me what system you want connected and I’ll show you what an MCP integration actually looks like for it.

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