Connect OPC UA Modeler and your agent gets 12 tools, among them find_engineering_unit, find_reusable_block, get_dsl_reference. It answers at https://api.opcua-modeler.sterfive.io/api/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 22 October 2026, succeeded.
OPC UA companion spec types, namespace dependencies, and engineering units for AI agents
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
find_engineering_unit | Find the official UNECE Rec. 20 engineering unit symbol for a given description. ALWAYS call this before using any engineering unit — NEVER guess unit symbols. Inputs: query |
find_reusable_block | Find reusable Interfaces / AddIns by capability — pass a member name or keyword (e.g. "SerialNumber", "DeviceHealth", "Location") and get the standard blocks that already expose it. PREFER applying/composing an existing block over redefinin Inputs: query |
get_dsl_reference | Get the grammar reference for the OPC UA modeler YAML DSL: file header, top-level sections, name-prefix conventions, minimal examples, and common mistakes. Call this FIRST before writing any YAML model by hand. Works without an API key. |
get_type_details | Get detailed information about a specific type: its components, properties, methods, interfaces, and optional members. Use this to understand a type's structure before creating instances or subtypes. Inputs: alias, browseName |
list_namespaces | List all well-known OPC UA companion spec namespace aliases with their full names, URIs, and dependencies. Use this to discover what namespaces are available. |
list_types | List ALL ObjectTypes, VariableTypes, and InterfaceTypes defined in a specific companion spec namespace. ALWAYS call this before using any type from a namespace — NEVER guess type names. Inputs: alias |
opcua_model_create | Generate an OPC UA YAML model from a natural language description using AI. Requires an API key (set OPCUA_MODELER_API_KEY env var). The AI will auto-detect relevant companion specs, generate a validated model with documentation, and auto-c Inputs: prompt, forceSpecs |
opcua_model_generate | Generate OPC UA NodeSet2.xml and Symbols.CSV from a YAML model. Requires an API key (set OPCUA_MODELER_API_KEY env var). Returns base64-encoded artifacts if the model is valid, or diagnostics if validation fails. Optionally set include_docs Inputs: yaml, include_docs |
opcua_model_reverse | Reverse-engineer a NodeSet2.xml file back into the YAML DSL format. Requires an API key (set OPCUA_MODELER_API_KEY env var). Optionally specify the target namespace URI to extract. Inputs: xml, namespace_uri, self_contained |
opcua_model_validate | Validate an OPC UA YAML model for correctness. Returns diagnostics with severity (error/warning/info), codes, messages, and line numbers. Works without an API key (limited to 50 calls/day). ALWAYS validate before generating. Inputs: yaml |
resolve_dependencies | Given one or more companion spec namespace aliases, returns the full resolved dependency list that MUST go in the YAML `namespaces:` section. Always call this before generating the namespaces block. Inputs: aliases |
search_types | Search for types across ALL companion specs by keyword. Use this when you don't know which namespace defines a type. Returns matching types with their namespace alias. Inputs: query |
Every block below points at https://api.opcua-modeler.sterfive.io/api/mcp. Pick your client and copy.
claude mcp add --transport http opc-ua-modeler https://api.opcua-modeler.sterfive.io/api/mcp
{
"mcpServers": {
"opc-ua-modeler": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.opcua-modeler.sterfive.io/api/mcp"]
}
}
}{
"mcpServers": {
"opc-ua-modeler": {
"url": "https://api.opcua-modeler.sterfive.io/api/mcp"
}
}
}{
"servers": {
"opc-ua-modeler": {
"type": "http",
"url": "https://api.opcua-modeler.sterfive.io/api/mcp"
}
}
}{
"context_servers": {
"opc-ua-modeler": {
"url": "https://api.opcua-modeler.sterfive.io/api/mcp"
}
}
}{
"mcpServers": {
"opc-ua-modeler": {
"serverUrl": "https://api.opcua-modeler.sterfive.io/api/mcp"
}
}
}{
"mcpServers": {
"opc-ua-modeler": {
"url": "https://api.opcua-modeler.sterfive.io/api/mcp"
}
}
}name: OPC UA Modeler
version: 0.0.1
schema: v1
mcpServers:
- name: OPC UA Modeler
type: streamable-http
url: https://api.opcua-modeler.sterfive.io/api/mcp{
"mcpServers": {
"opc-ua-modeler": {
"httpUrl": "https://api.opcua-modeler.sterfive.io/api/mcp"
}
}
}{
"mcpServers": {
"opc-ua-modeler": {
"type": "http",
"url": "https://api.opcua-modeler.sterfive.io/api/mcp"
}
}
}{
"mcpServers": {
"opc-ua-modeler": {
"url": "https://api.opcua-modeler.sterfive.io/api/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fapi.opcua-modeler.sterfive.io%2Fapi%2Fmcp&type=streamable_http&id=opc-ua-modeler&name=OPC%20UA%20Modeler
It answered our last check on 22 October 2026 in 85 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
12, as returned by the server's own tools/list on 17 September 2026: find_engineering_unit, find_reusable_block, get_dsl_reference, get_type_details, list_namespaces, list_types, opcua_model_create, opcua_model_generate, and 4 more.
It answered our last check on 22 October 2026 in 85 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://api.opcua-modeler.sterfive.io/api/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.node-opcua. Endpoint host: api.opcua-modeler.sterfive.io. ARD identifier: urn:air:io.github.node-opcua:mcp:node-opcua-modeler-mcp-server.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.