MCP Integrations
Custom Model Context Protocol servers that connect your business systems with Claude AI — turning your data and workflows into intelligent, automated tools.
What I Deliver
Custom MCP Servers
.NET MCP servers that expose your business logic, databases, and APIs as tools and resources for Claude AI.
AI Workflow Automation
Automate complex multi-step business workflows by giving Claude the tools to read, reason, and act on your systems.
Business System Integration
Connect Claude to your CRM, ERP, databases, and third-party APIs — turning unstructured requests into structured actions.
Context Providers
Real-time context resources that give Claude live access to your business data — no stale knowledge, always current.
The Model Context Protocol
The Model Context Protocol (MCP) is an open standard that lets AI models like Claude communicate with external tools, databases, and services. Instead of Claude being limited to its training data, an MCP server gives it live access to your business systems — turning it into a genuine business automation tool.
- Built with the official .NET MCP SDK — idiomatic, maintainable code
- Tool exposure: your business functions as first-class AI capabilities
- Secure: authentication, authorisation, and audit logging built in
- WhatsApp + AI: conversational interfaces over your business systems
- Works with Claude Desktop, Claude API, and custom AI clients
[McpServerToolType]
public class OrderTools(IOrderService orders)
{
[McpServerTool, Description(
"Get order status by order ID")]
public async Task<OrderStatus> GetOrderStatus(
string orderId)
{
return await orders
.GetStatusAsync(orderId);
}
[McpServerTool, Description(
"List open orders for a customer")]
public async Task<IEnumerable<Order>>
GetCustomerOrders(string customerId)
{
return await orders
.GetOpenOrdersAsync(customerId);
}
}What can I automate?
- Customer support: Claude answers questions using live CRM data
- Report generation: AI compiles and summarises your business data on demand
- WhatsApp orders: customers place orders conversationally
- Internal tooling: developers query codebases and run deployments via chat
- Document processing: extract and structure data from unstructured documents
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