Open your software to AI agents. Your staff ask a question in a chat app, and the answer comes from your own application. You decide which functions are released, and your existing software stays in use. Every change to your data waits for a confirmation.

In use

MCP servers run in production here against real business data, in seven independent implementations, one of them with OAuth 2.1 and a key as a second way in.

The Agentic Part

MCP stands for Model Context Protocol and describes how an AI agent calls the functions of a piece of software as tools. The MCP server is the place in your software where those tools are described and offered. An agent reads the descriptions, picks the tool that fits the question and calls it, so nobody has to look up the function by hand. We write the descriptions in your team’s own terms. A key protects access, a call without a key is rejected, and people can sign in through OAuth 2.1. Functions that change data produce a proposal first, and it runs after your confirmation.

Main Features

Every change to your data waits for your confirmation
A key protects access, and a call without a key is rejected
You decide which functions of your software an AI agent may call
Function descriptions in your team's own terms, so the agent finds the right function
Personal sign-in for staff, a key for desktop apps and automated routines
Your existing software stays in use and nothing is replaced

Use Cases

A staff member asks in the chat app about the status of an order in your software. The AI agent calls the matching function and answers from your data.
A colleague wants to change a contact in your software and says so in the chat. The agent prepares the change, and it is saved after the colleague confirms.