Agents
SkillSearchLets your agent write and list Mendix AI agent documents, defining models, knowledge bases and prompts in MDL.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Agents skill
About this capability
Author Mendix AI agent documents in MDL, Model, Knowledge Base, Consumed MCP Service and Agent, with variables, tools and multi-line prompts. Use when adding GenAI features to a Mendix app, wiring an LLM model or knowledge base, or listing/describing existing agent documents. Requires AgentEditorCo
What this skill tells your AI
The instructions your AI receives, as published by mendixlabs/mxcli in .claude/skills/mendix/agents/SKILL.md and read by ahel’s review.
Overview
Four AI agent document types stored as JSON inside Mendix MPR files:
| Type | CREATE keyword | Notes |
|---|---|---|
| Model | create model | GenAI model configuration; required by Agent |
| Knowledge Base | create knowledge base | KB source; referenced by Agent body |
| Consumed MCP Service | create consumed mcp service | MCP tool server; referenced by Agent body |
| Agent | create agent | Orchestrates model + tools + prompts |
Requires: Mendix 11.9+ and the full agent-editor marketplace stack (7 modules) —
AgentEditorCommons depends transitively on the other six, so all must be installed:
| Module | Role |
|---|---|
GenAICommons | Core AI types (Request/Response, DeployedModel, Tool, KnowledgeBase) |
MxGenAIConnector | Mendix Cloud AI backend, model config, embeddings |
AgentCommons | Agent management (versioned agents, tools, KBs, MCP) |
AgentEditorCommons | Bridge to the Studio Pro Agent Editor extension |
MCPClient | MCP server connections, tool discovery/execution |
ConversationalUI | Chat widgets, tool-approval UI, trace monitoring |
Encryption | Provides the 32-char key models/KBs reference |
Install them with mxcli marketplace install <id> -p app.mpr (or via Studio Pro). Also
register ASU_AgentEditor as an after-startup microflow.
Syntax
Model
create model Module.MyModel (
Provider: MxCloudGenAI, -- default, can omit
key: Module.ApiKeyConst -- must be a String constant
);
Provider is free-form, and nothing validates it. MDL passes the value
straight through; MxCloudGenAI is only the default applied when you omit the
property, not the only accepted value. Provider: OpenAI parses, writes, and
round-trips through describe model — as does Provider: TotallyMadeUp.
That means a typo is caught by nothing in the headless path. Agent Editor
documents are stored as custom blobs, and mxbuild contains no agent-editor
strings at all, so mx check and the build both stay green and the fault
surfaces only when Studio Pro opens the document.
mxcli deliberately does not enforce an allowlist, because the authoritative set
of provider values is not available to it: the agent editor is a Studio Pro
extension, its enum is not in generated/metamodel and not in mxbuild. Guessing
a list risks rejecting a value Mendix accepts. Take the value from a model
document Studio Pro created, rather than from memory or from this file.
Knowledge Base
create knowledge base Module.ProductDocs (
Provider: MxCloudGenAI,
key: Module.KBKeyConst
);
Consumed MCP Service
create consumed mcp service Module.WebSearch (
ProtocolVersion: v2025_03_26,
version: '1.0',
ConnectionTimeoutSeconds: 30,
documentation: 'Web search MCP server'
);
Agent (full syntax)
create agent Module.MyAgent (
UsageType: task, -- Task | Conversational
model: Module.MyModel, -- must exist
description: 'Agent description',
MaxTokens: 4096,
Temperature: 0.7, -- float
TopP: 0.9, -- float
ToolChoice: Auto,
variables: ("Language": EntityAttribute, "Name": string),
SystemPrompt: $$multi-line
prompt here.$$,
UserPrompt: 'Single line prompt.'
)
{
mcp service Module.WebSearch {
Enabled: true
}
knowledge base KBAlias {
source: Module.ProductDocs,
collection: 'product-docs',
MaxResults: 5,
description: 'Product docs',
Enabled: true
}
tool MyMicroflowTool {
description: 'Fetch customer data',
Enabled: true
}
};
Altering existing documents
All four agent-editor document types support ALTER for targeted partial updates (no need to re-specify the whole document):
-- Model, Knowledge Base, Consumed MCP Service: SET-only (no collections)
alter model Module.MyModel set DisplayName = 'GPT-4 Turbo', KeyName = 'OPENAI_KEY';
alter knowledge base Module.MyKB set ModelDisplayName = 'text-embedding-3-small';
alter consumed mcp service Module.MyMCP
set ConnectionTimeoutSeconds = 60, Version = '0.2.0';
-- Agent: SET for scalars, ADD/DROP for tools, MCP services, knowledge bases
alter agent Module.MyAgent
set SystemPrompt = 'New prompt', Temperature = 0.7, MaxTokens = 4096
add tool MyMicroflow { Description: '...', Enabled: true }
add mcp service Module.WeatherSvc { Description: '...', Enabled: true }
add knowledge base Docs { Source: Module.MyKB, Collection: 'docs', MaxResults: 5 }
drop tool OldTool
drop mcp service Module.OldSvc
drop knowledge base OldKB;
Property names match CREATE (SystemPrompt, UserPrompt, Temperature, MaxTokens, ToolChoice, Model, Entity, Description, UsageType, …). Unknown property names error out with unknown agent property: X. CREATE OR MODIFY remains available when you want a full replacement.
Gotchas
Dollar-quoting for multi-line prompts
Single-quoted strings cannot span lines. Use $$...$$ for any SystemPrompt or UserPrompt that contains newlines. DESCRIBE always emits $$...$$ when the value contains newlines, so DESCRIBE output re-parses cleanly.
Portal-populated metadata fields
DisplayName, KeyName, KeyID, Environment, ResourceName, DeepLinkURL are populated by the Mendix portal at sync time. Do not set them manually in CREATE statements — they will be overwritten.
documentId vs qualifiedName
Each document has both a qualifiedName (e.g. Module.MyModel) and an opaque documentId UUID. The UUID is assigned by ASU_AgentEditor at runtime. Only qualifiedName is set by CREATE; cross-reference lookups resolve by scanning all documents for a matching name.
Drop order
Agents reference Model, Knowledge Base, and MCP Service documents. Always drop Agents before dropping their dependencies:
drop agent Module.MyAgent;
drop consumed mcp service Module.WebSearch;
drop knowledge base Module.ProductDocs;
drop model Module.MyModel;
Variables: syntax
"key": EntityAttribute— binds an attribute from the entity in the agent's context"key": string— binds a plain string value- Keys must be quoted (string literals or quoted identifiers)
Association between BSON and MDL names
The feature uses CustomBlobDocument BSON type with a Contents field holding the JSON payload. The $type field is always "AgentEditorCommons$CustomBlobDocument". The document type is identified by the readableTypeName inside Metadata.
Common Patterns
Minimal agent (no tools)
create model Module.M (Provider: MxCloudGenAI, key: Module.K);
create agent Module.A (
UsageType: task,
model: Module.M,
SystemPrompt: 'You are a helpful assistant.',
UserPrompt: 'Ask me anything.'
);
Check all agent documents in a module
list models in module;
list knowledge bases in module;
list consumed mcp services in module;
list agents in module;
Calling Agents from Microflows
Dedicated call agent MDL syntax is not yet implemented. Use call java action with the AgentCommons Java actions instead:
-- Single-call (Task) agent — no chat history
$response = call java action AgentCommons.Agent_Call_WithoutHistory(
agent = $agent,
UserMessage = $UserInput
);
-- Conversational agent — with chat history
$response = call java action AgentCommons.Agent_Call_WithHistory(
agent = $agent,
ChatContext = $ChatContext,
UserMessage = $UserInput
);
-- Create a ChatContext wired to an agent (for ConversationalUI)
$ChatContext = call java action AgentCommons.ChatContext_Create_ForAgent(
agent = $agent,
ActionMicroflow = Module.HandleToolCall,
context = $ContextObject
);
Retrieve the AgentCommons.Agent entity by qualified name before calling:
retrieve $agent from database AgentCommons.Agent
where AgentCommons.Agent/QualifiedName = 'Module.MyAgent'
limit 1;
The AgentCommons.Agent entity is populated at runtime by ASU_AgentEditor from the agent documents you create with create agent.
AI agent documents
Model, Knowledge Base, Consumed MCP Service, Agent (LIST/DESCRIBE/CREATE/DROP, with variables, tools, KB tools, dollar-quoted multi-line prompts; requires AgentEditorCommons module, Mendix 11.9+)
Signals
- GitHub stars
- 122
- Forks
- 49
- Last commit
- Sep 2026
Advanced
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- Gateway key
agents-mendixlabs- Source
- github.com/mendixlabs/mxcli