From your API to tools the model knows how to use.

MCP (Model Context Protocol) is the open standard that connects AI assistants to external systems. We make sure that connection works reliably.

Your system's actions turned into tools an AI assistant can call on the user's behalf.

Interactive charts, forms and views rendered right in the conversation. Users filter and drill into the data without leaving the chat.

Tool names, descriptions and parameters written so the model picks the right tool and uses it correctly.

Per-user sign-in and permissions, so the assistant only sees what the user is allowed to access.

Which tools get called, which calls fail and what users are trying to get done.

Hosting, versioning and compatibility with different assistants as the standard evolves.

Method

How we work.

A phased delivery where every phase has a clear outcome.

Step 1
Discovery
What your users want to do through an assistant, and what your API already offers.
Step 2
Tool design
Scoping, naming and describing the tools from the model's point of view.
Step 3
Build and test
The server and apps are built and tested with real assistants.
Step 4
Launch and monitoring
Rollout, analytics and handover to your team.