What is RepairXpertAI Industrial Fault Diagnosis?
RepairXpertAI Industrial Fault Diagnosis is an AI-powered equipment diagnosis tool that provides two MCP servers: one for industrial automation fault diagnosis (Allen‑Bradley PLCs, conveyors, VFDs, and more) and one for automotive OBD‑II diagnostics with a curated expert DTC database. It is built for field technicians, maintenance teams, and developers who want actionable repair guidance rather than raw data.
How to use RepairXpertAI Industrial Fault Diagnosis?
Add two entries to your MCP client config (e.g., ~/.claude/.mcp.json): one pointing to mcp_server.py for industrial automation, and another pointing to obd_mcp_server.py for automotive OBD‑II. Set the environment variable OBD_MODE to mock (default, no hardware) or real (requires an ELM327 adapter). Restart your MCP client. Requires Python 3.11+ and dependencies installed via pip install -r requirements.txt. Docker is also supported.
Key features of RepairXpertAI Industrial Fault Diagnosis
- Industrial fault diagnosis for 313+ fault codes across multiple equipment types
- Automotive OBD‑II with expert diagnosis (probable causes, fix steps, field tricks)
- Parts search across AutomationDirect, Grainger, and Amazon
- Mock mode for OBD‑II – works out of the box without an ELM327 adapter
- Read/clear diagnostic trouble codes and live sensor data (RPM, coolant temp, etc.)
- Preventive maintenance checklists and equipment profiles
Use cases of RepairXpertAI Industrial Fault Diagnosis
- Diagnose Allen‑Bradley PLC faults from error codes or symptoms
- Look up replacement parts for industrial equipment failures
- Read and clear check‑engine lights with actionable repair knowledge
- Analyze vehicle freeze‑frame data captured at the time of a fault
- Test automotive diagnostics in a development environment without physical hardware
评论