MCP & Business Data Connections
Give your AI tools the business context they are missing.
Connect supported AI tools to approved business data and actions through Model Context Protocol (MCP).
The opportunity
The problem we help you solve
An AI tool can be capable and still be isolated from the information needed to do useful work. Staff copy records into prompts, explain the same context repeatedly and carry the result back into another system.
Voxd uses Model Context Protocol where it is a suitable connection method for compatible AI applications. We assess existing connectors or build a dedicated MCP server around approved information and actions. Authentication, permissions and approval are part of the design, so a connection has a clear purpose and boundary.
What changes for your team
Reduce manual context gathering
Allow supported tools to retrieve agreed information directly instead of relying on repeated copying.
Connect useful actions
Make carefully scoped business functions available where the application and controls support them.
Keep access deliberate
Define which users and tools can reach which information or actions, with appropriate records and review.
What we deliver
What Voxd can deliver
Compatibility and scope assessment
Check the AI client, source systems and available connectors against the intended workflow.
Connector or MCP implementation
Configure a suitable connection or build the server functions required for the agreed use case.
Access and action testing
Test authentication, permissions, failures and approvals for consequential operations.
Why Voxd
We can handle the connection as well as the conversation.
Voxd’s delivery work connects AI with systems such as Microsoft 365, HubSpot and live operational platforms. We can assess the data and integration work behind a use case as well as help people use the resulting tool.
That gives you a practical route when a standard setup reaches its limits. We can configure an existing capability, build a suitable connection or recommend a separate application where that better fits the job. The choice follows the requirement and the product’s actual capabilities.
How we work
A rollout built around use, not just setup
- 01
Find the practical fit
We identify the teams and tasks most likely to benefit, then check product capabilities, licences and information requirements.
- 02
Prepare the workspace
We work with your administrators on configuration, available controls and approved sources. Connections start with a clearly defined scope.
- 03
Support a real pilot
We help staff apply the tool to everyday work, collect feedback and address the points where the setup or guidance needs improvement.
- 04
Expand what works
We turn useful pilot workflows into shared practices and agree ownership, support and measures for the wider rollout.
Before you get started
Before you get started
Does MCP automatically make a connection secure?
No. It provides a connection protocol. Security still depends on the authentication, permissions, application behaviour and operating controls around it.
Can we start with read-only access?
Yes. A narrow read-only use case is often a useful way to establish value and test boundaries before considering write actions.
Connect the tool to the information the task needs.
Tell us which AI application you use and where the missing business context lives.