AI can support development,
approvals stay deliberate.

Agents can assist with code changes, tests and the evaluation of technical documents.

In an existing repository, architectural decisions, dependencies and project-specific rules apply. An automatically generated suggestion has to be checked against them before it is adopted. It also has to be settled which tools an agent may use and which data it may reach. A suitable integration connects these limits with tests and human reviews in the existing development workflow.

IQstruct Engineering develops MCP servers, API clients and integrations for agentic applications. Tools and data sources are made accessible within the agreed assignment. Human review and defined approvals bound the actions and secure the transition into productive processes.

Start now at no cost

In a free first conversation we look at one workflow and say which part pays off and which stays with people.

Arrange a first conversation

Scope of services

Connect tools technically

MCP and classic APIs connect agents with existing functions.

Limit permissions

Access is based on the task, the role and the released data.

Insert results into software processes

Tests and approvals connect agentic work with the application.

Controlled connections between AI and application

IQstruct Engineering develops MCP servers, API clients and integrations for agentic applications.

A language model can describe a task but needs access to data and functions to carry it out. An MCP server opens up existing application functions for an agent; the work assignment determines which functions and data become accessible.

Tests and permissions are coordinated with this connection. Human review and defined approvals limit the actions and secure the transition into productive processes. The software service complements the business design of the agent.

Person working at a monitor and a notebook with source code

AI agents

The agent acts within the approved framework

Interfaces, rights and review steps define what an agent may do in your applications.

Approach in the project

  1. Three people discuss an existing repository and the desired AI support at a tableAi

    1

    Clarify the task in the code base

    The repository and the desired AI support are reviewed together.

  2. A consultant compares models and providers against requirements on the screenAi

    2

    Select the AI system

    Local models, API connection and providers are compared against tasks and requirements.

  3. Two developers configure the tools and permissions of an AI agent on the screenAi

    3

    Set up agents

    Tools and permissions are configured for the development workflow.

  4. A developer reviews change suggestions of an AI agent in the code on the screenAi

    4

    Develop with agents

    Developers review the agent's suggestions, tests and security findings in the repository.

Building blocks of the integration

MCP server

Existing application functions become accessible to agents.

API clients

Classic interfaces connect agents with other systems.

Approvals

Defined review steps limit which actions an agent carries out.

Development practice

Trying out AI in everyday development

AI support has to prove itself within the existing development workflow.

Code changes call for current sources, suitable permissions and technical reviews. IQstruct Engineering uses an LLM wiki, local models and agentic workflows in its own software development for that. The staff have been trained in their use. This experience helps to plan not only the technical connection at a rollout, but also source maintenance, review and approval within the daily workflow.

AI assistants and agents

Frequently asked questions

We are glad to answer your detailed questions in a personal conversation.

May an agent start a release on its own?

An agent only receives the rights its assignment provides for. Releases go through defined approvals with human review.

What is an MCP server?

An interface through which an AI agent can use existing functions and data of an application within the agreed scope.

Where is the business design of the agent described?

The business design of agents belongs to the artificial intelligence area; this page describes the technical connection.

First conversation

Arrange a free first conversation

Describe your task. We agree a date and discuss the possible project scope.

  1. Notebook on a desk with an open calendar and a selected appointmentAi

    1

    You request an appointment

  2. Experts at a meeting table discussing an extensive software architecture on the screenAi

    2

    We discuss your requirements

  3. Workstation with a measuring application built with graphical programming and a web interfaceAi

    3

    You receive a quotation for the agreed scope

Philipp Niemann-Stryczek
Philipp Niemann-StryczekManaging DirectorLeads the company on the commercial side and answers questions on IT/OT security, asset administration shells, compliance and research projects.
Free first conversation

Describe your task in the contact form. We come back with a proposed date.

Arrange a first conversation

Not quite what you need?

Discover further suitable services.

Assistants and agents

Connect agent tasks with released data, tools and human review.

Interfaces and integration

Connect new and existing systems via suitable APIs and customer-specific adapters.

CI/CD and quality assurance

Combine automated tests, security checks and traceable releases.

Integrating AI into existing systems

Connect assistants with ERP, office applications and existing data sources.