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Glama
brayangcastro

industrial-mcp

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
INDUSTRIAL_MCP_ADAPTERNoSelect the adapter backend. Default is 'mock'. Other options like 'mqtt' or 'rest' can be implemented.
INDUSTRIAL_MCP_ALLOW_WRITESNoSet to 'true' to allow live (non-dry-run) execution of write tools like trigger_motor_action. Default is off (read-only).

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

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_plantsA

List industrial facilities the server can see.

list_silosB

List grain silos at a plant, with capacity in metric tons.

get_silo_thermometryA

Return the latest thermometry snapshot for one silo.

Includes fill percent, cable count, and min/max/avg grain temperature in Celsius. Use this when the operator asks about a specific silo's health.

list_motorsA

List motors at a plant. Optionally filter by kind.

get_active_alertsA

List active alerts at a plant, optionally filtered by minimum severity.

trigger_motor_actionA

Request a start or stop of an industrial motor.

Defaults to a DRY RUN: returns what would happen, evaluates safety preconditions, and lists warnings — without sending any command to the field. To actually execute:

  1. Pass dry_run=False.

  2. Pass operator_id (recorded in the audit log).

  3. Pass reason (short free-text justification).

  4. The server itself must be started with INDUSTRIAL_MCP_ALLOW_WRITES=true; otherwise the call is rejected even when the LLM sets the flags.

Every executed command is appended to an audit log; dry-run calls are not logged.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4/5.0

Scored across 6 tools

Disambiguation5/5

Each tool targets a distinct resource and action: plants, silos, thermometry, motors, alerts, and motor actions. The only possible overlap is between list_silos and get_silo_thermometry, but one lists silos and the other retrieves data for a specific silo, so there is no ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern: list_plants, list_silos, list_motors, get_active_alerts, get_silo_thermometry, trigger_motor_action. The verbs are clear and the style is uniformly snake_case, making the set predictable and easy to navigate.

Tool Count5/5

With 6 tools, the server is well-scoped for industrial monitoring and control. Each tool serves a clear purpose without excessive overlap or unnecessary additions, and the count is neither too thin nor too heavy for the domain.

Completeness4/5

The tool set covers the core workflows: listing assets, retrieving detailed sensor data, checking alerts, and issuing motor control commands with safety checks. Minor gaps exist, such as no dedicated tool for getting a single motor's detailed status or acknowledging alerts, but these do not critically hinder agent operations.

Maintenance

ActivityMaintained
ResponsivenessNo issues