Give AI agents access to your existing software
We build MCP server layers on top of your current systems so AI agents can read your data, trigger your workflows, and act on your behalf, without replacing anything you already have.
What is MCP?
The Model Context Protocol is a universal adapter between AI agents and software. Think of what USB did for hardware: before USB, every device needed its own proprietary cable and connector. USB gave devices a standard connection that just works. MCP does the same thing for AI agents and software. Instead of building custom integrations for every AI model or agent framework, MCP provides a single, open standard that lets any compatible agent connect to any compatible system. One protocol, universal access.
The building blocks of MCP
Every MCP server exposes three types of capabilities that agents use to interact with your software.
Tools
Tools are the actions an agent can take within your system. Creating a record, sending a notification, running a calculation, approving a request: if your software can do it, an MCP Tool lets an agent do it too, with the same validation and permissions your human users have.
Resources
Resources are the data an agent can read from your system. Customer records, inventory levels, financial reports, configuration settings: Resources give agents structured, read-only access to the information they need to make decisions and complete tasks.
Prompts
Prompts are pre-built instructions that guide agents through complex workflows in your system. They encode your business logic and best practices into reusable templates so agents follow the same procedures your best employees do, consistently and at scale.
Before and after MCP
Before: The integration mess
- Every AI tool needs its own custom integration
- Data is siloed across disconnected systems
- Fragile point-to-point connections that break when anything changes
- Weeks of development for each new AI capability
After: A unified MCP layer
- One standard protocol connects any AI agent to your systems
- A single MCP server layer provides structured access to all your data
- Stable, versioned interfaces that evolve without breaking agents
- New AI agents connect in hours, not weeks
How agents connect to MCP servers
AI agents connect to MCP servers the same way browsers connect to websites. Your browser doesn't need custom code for every site; it uses HTTP, a universal protocol, to request pages from any web server. MCP works the same way. An AI agent uses the Model Context Protocol to discover what Tools, Resources, and Prompts a server offers, then interacts with them through structured requests. The agent doesn't need to know how your software is built internally. It just needs to know what the MCP server exposes. This means you can swap AI providers, add new agents, or upgrade your internal systems without breaking the connection.
Make your existing software agent-ready
We'll assess your current systems and show you exactly how an MCP layer gives AI agents secure, structured access.