Create and manage AI agent configurations in Mendix using MDL syntax.
npx skills add https://github.com/engalar/mxcli-taskdemo --skill agents-engalar
Please help me install this Agent Skill. Skill: Agents Source: https://github.com/engalar/mxcli-taskdemo/tree/main/TaskDemo/.claude/skills/agents Command: npx skills add https://github.com/engalar/mxcli-taskdemo --skill agents-engalar
This Skill simplifies the complex process of configuring AI agents, knowledge bases, and MCP services within Mendix applications by providing a standardized MDL syntax for document creation.
Use the agents skill to create a new agent named Module.SupportAgent that utilizes the existing Module.ProductDocs knowledge base and a task-based usage type.
High-intent search queries and answers about installing and using this skill.
You can define AI agents in Mendix using declarative MDL syntax to create models, knowledge bases, and orchestration logic. This approach simplifies configuration by using SQL-like statements instead of complex manual setup.
To run AI agents configured with MDL, you need the AgentEditorCommons marketplace module installed and Mendix version 11.9 or higher. These dependencies provide the necessary runtime execution environment for the agent configurations.
Yes, you can link MCP services and microflow tools to Mendix AI agents. This integration allows agents to utilize external capabilities like web search and internal application logic for enhanced functionality.
To set up a customer support agent in Mendix, define an agent using MDL syntax that references a product documentation knowledge base and a task-based usage type. You can also connect an MCP service for web search to answer user queries.
The best way to orchestrate multiple AI agents in Mendix is by using standardized MDL syntax to define orchestration logic. This declarative approach manages agent interactions and configurations within a single document structure.
Yes, this approach replaces manual UI configuration by using declarative MDL statements to create and manage AI agent configurations. You define models, knowledge bases, and MCP services directly through syntax, streamlining the setup process.
robinebersGenerates setup scripts and configurations for AI agent worktrees.
engalarExecute OQL queries against a running Mendix application to validate data state.
engalarAutomates creation and modification of Mendix workflow definitions using MDL.
engalarGenerate Mendix page definitions and UI widget structures using MDL statements.
