Use case & technical planning
What task needs to become easier? We map the workflow with your team, review available interfaces and define a practical initial scope.
MCP development
Connect selected software data and functions to compatible AI assistants. We support planning, implementation and ongoing development.
THE STARTING POINT
Good answers need
Good answers need
the right information.
Orders live in your ERP, customer records in your CRM and working instructions on your intranet. Answering a question often means switching between several applications. An AI assistant changes little if it cannot access that information.
The Model Context Protocol, or MCP, connects selected software functions and information to a compatible AI assistant. The data it may read and the actions it may perform are defined for each use case.
We start with a specific workflow: checking an order’s delivery status, for example, or preparing a service case from authorised information. Together we assess whether an integration makes sense and how it should work.
Discuss your use case ↗From your first question
to a working integration.
We treat your existing software, intended benefits and ongoing operations as one project.
MCP servers & tools
We build the connection between your applications and an AI assistant, including clearly described functions, validated inputs, permissions and understandable error messages.
Integration & interfaces
We implement and test the integration for your chosen MCP client. Where supported by the target platform, interfaces such as selection controls or forms can complement the workflow.
Maintenance & development
We plan hosting, updates and changes to your systems. Further functionality can then be prioritised using experience from real-world operation.
One connection.
Your applications stay.
Your teamAI assistant with an MCP client
MCPFunctions · permissions · data
Your systemsERP / CRM / API / Backend
What could this
make easier for you?
These scenarios illustrate potential applications. Scope and feasibility are assessed against your systems.
Sales & customer service
Retrieve order status, available items or open service cases from authorised systems without opening every application separately.
Appointments & capacity
Check available time slots or resources. Binding reservations remain subject to defined permissions and confirmation steps.
Internal business applications
Bring project management or inventory information into the working context and support selected tasks.
Knowledge & documentation
Make approved product information and internal documents accessible while respecting each employee’s access rights.
Sensitive business processes
For confidential data, first establish what may be processed, which providers are involved and where human approvals are required.
Recurring tasks
For example, prepare a draft record, identify missing information or compile data for a report, with a clearly bounded task.
THE PROJECT PROCESS
Start small.
Start small.
Expand with purpose.
An initial, focused use case makes the value, effort and technical limitations concrete.
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Map the task
We establish who will use the solution, what information they need and how you will recognise an improvement.
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Define access and scope
Together we define the systems involved, permitted actions and approvals, forming the technical plan.
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Build the integration
We implement the agreed functions and also check invalid inputs, missing permissions and unavailable systems.
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Test in daily work
Your team tests typical tasks. We compare the results with requirements and adjust the implementation.
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Plan operations and next steps
Before launch, we clarify responsibilities and maintenance. Extensions follow where operational experience shows their value.
DATA & RESPONSIBILITY
Access needs
Access needs
clear boundaries.
An MCP connection does not mean blanket access to your business data. We plan which information is available, who may use it and which actions require additional confirmation.
- Expose only the functions and data needed.
- Verify permissions for users and applications.
- Separate sensitive actions from read permissions.
- Agree on hosting, logging and the providers involved.
The MCP server’s location alone does not determine where data flows. The AI service and its settings also need to be considered. We coordinate privacy requirements with your responsible team.
Before the first step.
What does MCP add to an existing API?
An API exposes a system’s functions. An MCP server can make selected functions available as described tools and information for a compatible AI client. The existing API can remain the technical foundation.
Do we need our own AI application first?
Not necessarily. We first assess which assistant your team wants to use and what MCP functionality it supports. That determines whether an integration is sufficient or a custom interface makes sense.
What is meant by an MCP app?
In addition to data and tools, supporting clients can display interactive interfaces. Whether and how these are used depends on the target platform and workflow.
How long does implementation take and what does it cost?
This depends on existing interfaces, access permissions and the required functionality. After reviewing the technical situation, we can define the initial project phase and estimate the effort.
Will our data stay in Austria or the EU?
Hosting location alone cannot answer this. All participating services and data flows matter. We clarify your requirements and review the technical architecture with your responsible team.
Which AI platform is right for us?
We choose based on your requirements and existing tools. We assess supported functions, authentication, data processing and interfaces for the specific platform.
Can we start with a small pilot?
Yes. A clearly bounded workflow with defined data and users is a practical starting point. You can then decide which further functions are needed in operation.
YOUR NEXT STEP
Get in touch ↗Let’s discuss your project.
Tell us what you want to solve. Together we will identify the right starting point.