Custom Build MCP Servers
Adding Your Business Actions to AI
We build custom Model Context Protocol servers that connect your APIs, databases, and internal tools directly into AI assistants — making your product accessible from Claude, ChatGPT, Cursor, and any MCP-compatible client.
The Protocol
What is MCP?
The Model Context Protocol is an open standard that lets AI assistants securely connect to your business tools and data sources.
Universal Interface
MCP provides a standardized way for AI models to call your APIs, query your databases, and trigger your workflows — without custom integration for each AI platform.
AI-Native Access
Instead of users switching between apps, AI assistants can directly interact with your product — creating orders, pulling reports, updating records, all through natural language.
Secure by Design
MCP servers run in your infrastructure with your auth, your permissions, and your data policies. The AI only accesses what you explicitly expose.
The Opportunity
800 Million People Use AI Every Week
ChatGPT alone has 800 million weekly users. Add Claude, Gemini, Copilot, and the rest — over a billion people are using AI assistants regularly. These users are your customers. And right now, AI can't interact with your product.
800M+
weekly AI assistant users
~8K
MCP servers in existence
Millions
of businesses with digital services
99%
of businesses have no MCP presence
Right now, when one of those 800 million users asks their AI assistant to interact with your product, the AI can't do it. It can talk about your product, but it can't take action — it can't book an appointment, place an order, pull a report, or trigger a workflow. Your product is invisible to the fastest-growing user base in history.
MCP changes that. The Model Context Protocol gives AI assistants a standard way to discover and call your APIs directly. With an MCP server, every AI user becomes a potential customer who can interact with your business through natural conversation.
But someone has to build the server. Someone has to decide which actions to expose, how to structure the parameters, what context the AI needs to use your tools correctly. That's what we do.
And because this space is so early — with only about 8,000 MCP servers for the entire internet — the businesses that move first will define how AI interacts with their industry. Your competitors aren't here yet. The playing field is wide open.
Use Cases
What Can AI Do With Your Product?
An MCP server turns your API into actions any AI assistant can perform. Here's what that looks like across industries.
E-Commerce
"Check if size 10 is in stock and place the order"
AI checks real-time inventory, applies discounts, and completes purchases — turning every AI assistant into a sales channel for your store.
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SaaS Platforms
"Create a new project and invite the engineering team"
Users manage their accounts through natural conversation. Onboarding, configuration, and admin tasks happen without ever opening your dashboard.
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Healthcare
"Schedule a follow-up with Dr. Lee next Thursday afternoon"
Patients book appointments, check lab results, and request refills through AI — reducing call volume and improving access to care.
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Financial Services
"Show me my transactions over $500 this month"
Clients query account data, initiate transfers, and generate reports through their AI assistant with the same security your app enforces.
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Real Estate
"Find 3-bedroom listings under $400K near downtown"
Buyers search inventory, schedule tours, and submit offers through AI. Agents get qualified leads without manual follow-up.
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Logistics
"Where is shipment #4821 and when does it arrive?"
Customers and internal teams track shipments, reroute packages, and file claims through AI — no portal login required.
Read more →
Every business has actions that customers and teams repeat daily. MCP makes those actions available anywhere AI lives — Claude Desktop, ChatGPT, Cursor, Windsurf, and any client that speaks the protocol. One server, every AI platform.
What We Build
Services
End-to-end MCP server development that makes your product a first-class citizen in the AI ecosystem.
Custom MCP Server Development
We build production-ready MCP servers tailored to your product's API. Your customers and internal teams can interact with your platform through any AI assistant.
API-to-MCP Migration
Already have a well-documented API? We'll design the optimal MCP tool surface — choosing which endpoints to expose, how to structure parameters, and what context to provide the AI.
Internal Tool Integration
Connect internal databases, CRMs, ticketing systems, and workflows to AI assistants so your team can query and act on data through natural conversation.
MCP Server Hosting & Maintenance
We handle deployment, monitoring, and updates. As MCP evolves and your product changes, we keep your server running and compatible.
How It Works
Our Process
From initial consultation to a deployed MCP server, here's how we work together.
Discovery
We review your product, APIs, and documentation. We identify which actions and data make the most impact when accessible through AI.
Architecture
We design the MCP server structure — tool definitions, resource schemas, authentication flow, and error handling strategy.
Build
We develop, test, and iterate on the MCP server. You get a working prototype early so we can refine the tool surface together.
Deploy
We deploy to your infrastructure, set up monitoring, and hand over documentation. Your product is now available in AI.
Get Started
Pricing
Start with a focused consultation. We'll map out your MCP server before writing a line of code.
Initial Consultation
Fact-finding & architecture
- ✓Deep dive into your product, APIs, and documentation
- ✓Identify highest-value actions to expose through MCP
- ✓Architecture proposal with tool definitions and schemas
- ✓Project scope, timeline, and cost estimate for full build
FAQ
Frequently Asked Questions
Everything you need to know about MCP servers, our process, and how AI integration works for your business.