What is MCP?
The USB-C of AI Integration
Model Context Protocol (MCP) is an open standard created by Anthropic that provides a universal way for AI models to connect to external data sources and tools.
Instead of building custom integrations for every model-to-system connection, MCP provides a standardized interface. Build one MCP server, and every MCP-compatible model can use it.
// MCP Server Architecture
server.registerTool({
name: "query_database",
description: "Search internal docs",
inputSchema: { query: "string" },
handler: async (input) => {
// Secure, audited access
return await db.search(input.query)
}
});
What We Build
MCP Development Services
Custom MCP Servers
Purpose-built servers that expose your internal systems to LLMs through standardized, secure interfaces.
Data Connectors
Bridges between your databases, document stores, and APIs — giving LLMs structured access to enterprise knowledge.
Tool Integration
Register custom tools that let agents execute actions in your systems — from database queries to API calls to file operations.
Security Layer
Authentication, authorization, rate limiting, and audit logging on every MCP connection. No open endpoints.
Low-Latency Transport
Optimized for sub-100ms tool calls. Streaming support for large data returns without blocking agent reasoning.
Multi-Provider Support
MCP servers that work with Claude, GPT, Gemini, and open-source models. No vendor lock-in on the model side.
Ready to connect your stack?
We'll audit your systems and build the MCP layer that gives your AI models secure, structured access to your enterprise data.
Schedule MCP Assessment