industry4-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tasks | {
"list": {},
"cancel": {},
"requests": {
"tools": {
"call": {}
}
}
} |
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
| resources | {
"subscribe": true,
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| normalize_sensor_tagsA | Translates raw weird sensor names into industry standard (ISA-95) formats. Call this when new machine data arrives. |
| reroute_node_red_flowA | Dynamically changes Node-RED flow configuration to reroute production data from a failed machine to a backup machine. |
| optimize_energy_scheduleC | Checks real-time energy prices and delays non-urgent jobs to off-peak hours to save electricity costs. |
| generate_compliance_audit_trailA | Compiles sensor logs and operator actions into a standard PDF audit report for FDA/ISO compliance after a deviation. |
| predict_maintenance_windowC | Predicts machine failure based on live sensor vibration from database. |
| adjust_machine_parametersA | Calculates and adjusts machine tool offsets to fix quality defects (like dimension oversize) automatically. Fetches current recipe internally from the database. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| plant_orchestrator | Initializes the Plant Orchestrator Agent for Industry 4.0 |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| Health Checks | Current health status of all registered health checks |
| Widget Examples | Provides metadata and examples for all registered UI widgets |
TDQS
Scored across 6 tools
Each tool targets a clearly distinct domain: sensor normalization, flow rerouting, energy optimization, maintenance prediction, parameter adjustment, and compliance reporting. There is no overlap in purpose, and an agent can easily select the right tool based on the task.
All tool names follow a consistent verb_noun pattern (e.g., normalize_sensor_tags, optimize_energy_schedule, generate_compliance_audit_trail). This predictability makes the toolset easy to navigate and understand.
With 6 tools, the server is well-scoped for an Industry 4.0 domain without being overwhelming. Each tool earns its place by covering a different aspect of smart manufacturing operations.
The toolset covers a broad set of Industry 4.0 use cases: data normalization, dynamic rerouting, energy optimization, predictive maintenance, quality control, and compliance. Minor gaps exist (e.g., no explicit production monitoring or batch tracking), but agents can work around them with the provided capabilities.