01
CRM
Commercial context and actions according to available APIs and permissions.
MCP & INTEGRATIONS
Connect AI with the tools where work happens.
An assistant becomes more useful when it can access the right context and use the systems the business depends on. We design controlled integrations between AI and company infrastructure.
Discuss my integrationsMCP
What is MCP and when does it make sense?
MCP, Model Context Protocol, is a protocol that standardizes how an AI application discovers and uses defined sources of context or tools. It can be useful when an implementation needs reusable, well-defined connections between models, data and services.
Not every integration needs MCP. We choose between MCP, direct APIs and other mechanisms according to the stack, use case and company requirements.
CONNECTIONS
What can be connected
02
Databases
Operational information exposed through controlled interfaces.
03
Documentation
Internal knowledge sources for contextual retrieval.
04
Internal systems
Company services when safe integration mechanisms exist.
05
APIs
Business services with defined access contracts.
06
Operational tools
Applications where teams already perform part of the process.
CONTROL
Integration does not mean unlimited access.
We design authentication, scopes, permissions, action limits, logs and human approval where needed. The final compatibility depends on the APIs, permissions and technical capabilities of each system.
QUESTIONS
Frequently asked questions
Yes, provided appropriate technical mechanisms and permissions exist. We assess APIs, MCP or other available methods before defining the architecture.
No. We use MCP when it provides a clear, reusable way to connect context or tools; in other cases a direct API or another mechanism may be more appropriate.