Enrich Your Mendix App with Agentic Capabilities

Last modified: June 12, 2026

Introduction

With Mendix's agentic capabilities, you can build AI-powered features into your applications using leading AI models and your own data.

Mendix supports a variety of agentic and generative AI capabilities that you can integrate into your applications. Some typical use cases include the following:

  • Create AI agents that autonomously interact with your Mendix app's data, logic, and external systems.
  • Build conversational UIs with human-in-the-loop controls and embed AI-powered interactions directly into your Mendix applications.
  • Connect application data and enterprise knowledge bases to provide grounded, context-aware AI responses.

Getting Started

Start using AI capabilities based on your experience level:

  • Familiar with generative AI? Start building with the How to Build Smarter Apps Using GenAI guides.

  • New to generative AI? Follow these steps:

    1. Familiarize yourself with the core concepts, including prompt engineering, retrieval augmented generation (RAG), and function calling (ReAct).
    2. Choose an architecture for your use case. See the Components and Models section for available options.
    3. Obtain the required credentials for your selected architecture.

Components and Models

Integrate AI capabilities into your applications with Agents Kit, a collection of Mendix starter apps, connectors, and modules that support implementations from simple text generation to complex multi-step agentic workflows. The following sections describe the components available in the kit as well as the available models.

Agents Kit Components

Starter Apps

Asset Description Studio Pro Version
Agent Builder Starter App (formerly known as Support Assistant Starter App) Build agentic apps with this starter app that includes Agent Commons and all its required dependencies. Includes a working conversational support agent that you can customize with prompts, tool calling, knowledge base integration, and human-in-the-loop capabilities. 10.24
AI Bot Starter App Build your own enterprise-grade ChatGPT-like app. Connect to a supported model and write custom instructions to create a chatbot that can support use cases such as brainstorming, copywriting, document analysis, or coding support. 10.24
Blank GenAI App Start building with Mendix GenAI capabilities using this blank starter app that comes preloaded with connectors for Mendix Cloud GenAI, OpenAI, Amazon Bedrock, and Mistral, plus Agent Commons and all its required dependencies. 10.24
RFP Assistant Starter App / Questionnaire Assistant Starter App Demonstrates a time-saving GenAI pattern for answering similar-but-different questions. Upload Request for Proposal (RFP) documents, generate responses from a historical knowledge base of question-answer pairs, edit with AI assistance, and keep the model's responses current with continuous knowledge base updates. 10.24

Showcase Apps

Asset Description Studio Pro Version
GenAI Showcase App Explore example use cases for Agents Kit connectors and modules, including multi-agent patterns, exposing and consuming tools via MCP, interactive chatbots, RAG, function calling, image generation, and semantic search. 10.24
Snowflake Showcase App Learn how to use Snowflake connectors to read and write data, leverage Snowflake Cortex ML and LLM capabilities, chat with structured data using Cortex Analyst, and implement role-based access control. 10.24

Core Modules

Asset Description Studio Pro Version
Agent Commons Build agentic functionality by defining, testing, and evaluating agents at runtime. Iterate on prompts and agent configurations without app redeployment through the integrated Agent Builder UI. 10.24
Agent Editor Define agents as version-controlled documents in Studio Pro at design time. Author prompts, configure tools and knowledge bases, test locally, and deploy agents as part of your app model. 11.9
Conversational UI Create chat interfaces for full-screen, sidebar, or modal GenAI conversations. Monitor token consumption and trace interactions with UI features built on GenAI Commons. 10.24
GenAI Commons Integrate GenAI connectors with other modules using common capabilities provided by this base module. Required dependency for both core and connector modules. You can also implement your own connector based on this module. 10.24

Connector Modules

All connectors depend on GenAI Commons and can be used with the other core modules to connect to conversation endpoints.

Asset Description Studio Pro Version
Amazon Bedrock Connector Connect to Amazon Bedrock. 10.24
Google Gemini Connector Connect to Google Gemini. 10.24
Mendix Cloud GenAI Connector Connect to Mendix Cloud and use Mendix Cloud GenAI resource packs directly within your Mendix application. 10.24
Mistral Connector Connect to Mistral AI. 10.24
OpenAI Connector Connect to OpenAI and Microsoft Foundry. 10.24
PgVector Knowledge Base Manage and interact with a PostgreSQL PgVector knowledge base. 10.24

MCP Modules

Asset Description Studio Pro Version
MCP Client Access tools and prompts available via MCP inside your Mendix app and add them to LLM requests. 10.24
MCP Server Make your Mendix business logic available to any agent in your enterprise landscape. Expose reusable prompts, including the ability to use prompt variables. List and run actions implemented in the application as a tool. 10.24

Available Models

Mendix connectors offer direct support for the following models.

Mendix Cloud GenAI

Models Category Input Output Additional Capabilities
Anthropic Claude Sonnet Models Chat completions text, image, document text Function calling
Cohere Embed Models Embeddings text embeddings

Microsoft Foundry (OpenAI) / OpenAI

Models Category Input Output Additional Capabilities
gpt and o family, such as gpt-5.5 and o4 Chat completions text, image, document (OpenAI only) text Function calling
gpt-image-1, gpt-image-1.5, gpt-image-2 Image generation text image
text-embedding-ada-002, text-embedding-3-small, text-embedding-3-large Embeddings text embeddings

For a list of all OpenAI models, see Models in the OpenAI documentation.

Mistral

Models Category Input Output Additional Capabilities
Mistral's generalist models such as Mistral Small 4, Mistral Medium 3.5, Mistral Large 3, and Ministral 3 (3B, 8B, 14B) Chat completions text, image text Function calling
Codestral, Devstral Chat completions text text Function calling
(Open) Mistral Nemo 12B Chat completions text text
Mistral Embed, Codestral Embed Embeddings text embeddings

For a list of all Mistral models, see Models Overview in the Mistral documentation.

Google Gemini

Models Category Input Output Additional Capabilities
Gemini 2.5 Flash, Gemini 2.5 Flash-Lite, Gemini 2.5 Pro, Gemini Flash Latest, Gemini Flash-Lite Latest, Gemini Pro Latest Chat completions text, image text Function calling
Gemini 3 Flash Preview, Gemini 3.1 Flash-Lite, Gemini 3.1 Pro Preview, Gemini 3.5 Flash Chat completions text, image text

Amazon Bedrock

Models Category Input Output Additional Capabilities
Native support for models that support the Converse API, with providers including Anthropic Claude, DeepSeek, Meta, and OpenAI (OSS models). Chat completions text, document, image text Function calling
Native support for models by Cohere, and configurable support for all other models that support the Invoke API. Embeddings text embeddings
Native support for Titan Image Generator G1 v2 (availability varies by region), and configurable support for all other models that support the Invoke API. Image generation text image

For a list of all Bedrock Models, see Models at a glance. To determine if a model supports the Converse or Invoke APIs, see the model details after selecting a model from the list.

Connecting to Other Models

In addition to the models listed above, you can also connect to other models by implementing one of the following options: