AI-powered equipment diagnosis. This repo ships **TWO** MCP servers — one for industrial automation, and an automotive OBD-II MCP server with a
AI-powered equipment diagnosis. This repo ships TWO MCP servers — one for industrial automation, and an automotive OBD-II MCP server with a built-in expert DTC database (probable causes, ranked fix steps, field tricks) — the first. That is what the indautomation mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
The server publishes 14 tools. What each one is for:
Industrial — pip install -r requirements.txtIssues — GitHub IssuesEmail — support@repairxpert.aidiagnose_fault — AI fault diagnosis from symptoms or error codessearch_parts — Search replacement parts catalog (AutomationDirect, Grainger, Amazon)get_equipment_profile — Equipment specs, components, maintenance historylist_fault_codes — Browse 313+ fault codes by categoryget_allen_bradley_fault — Rockwell-specific fault lookuplist_supported_equipment — All supported equipment types and brandsget_maintenance_checklist — Preventive maintenance schedulesget_parts_for_fault — Parts needed to fix a specific coderead_dtcs — Read stored and pending diagnostic trouble codesConfiguration is passed through the environment: OBD_MODE. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
pip install -r requirements.txt - Automotive (real mode only): pip install obdThis sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Indautomation's toolset — Industrial, Issues, Email and 11 more — is a fair guide to whether it matches your workflow. It is maintained by repairxpert; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Industrial | pip install -r requirements.txt |
| Issues | [GitHub Issues](https://github.com/RepairXpert/indautomation/issues) |
| support@repairxpert.ai | |
| diagnose_fault | AI fault diagnosis from symptoms or error codes |
| search_parts | Search replacement parts catalog (AutomationDirect, Grainger, Amazon) |
| get_equipment_profile | Equipment specs, components, maintenance history |
| list_fault_codes | Browse 313+ fault codes by category |
| get_allen_bradley_fault | Rockwell-specific fault lookup |
| list_supported_equipment | All supported equipment types and brands |
| get_maintenance_checklist | Preventive maintenance schedules |
| get_parts_for_fault | Parts needed to fix a specific code |
| read_dtcs | Read stored and pending diagnostic trouble codes |
| clear_dtcs | Clear DTCs and reset MIL (Check Engine Light) |
| get_vehicle_info | VIN, ECU name, calibration IDs, OBD protocol (Mode 09) |
{
"mcpServers": {
"repairxpert-indauto": {
"command": "python",
"args": ["C:/RepairXpertIndAutomation/mcp_server.py"]
},
"repairxpert-obd": {
"command": "python",
"args": ["C:/RepairXpertIndAutomation/obd_mcp_server.py"],
"env": {
"OBD_MODE": "mock"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
pip install -r requirements.txt - Automotive (real mode only): pip install obd| Variable | Description | Required |
|---|---|---|
| OBD_MODE | Configuration value read at startup. | Optional |
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