dxpert: Industrial AI Agents for Manufacturing (OEE, Maintenance, Root Cause)
OfficialRelated Servers
Alternatives to dxpert: Industrial AI Agents for Manufacturing (OEE, Maintenance, Root Cause)
- AlicenseAqualityAmaintenanceFree Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.3267 npmMIT
Related Servers
- AlicenseAqualityBmaintenanceEnables local MCP clients to interact with the Superchat public API, supporting contact search, conversation management, notes, exports, and message sending using your own API key.26MIT

GPTProto MCPofficial
AlicenseAqualityCmaintenanceEnables AI hosts to discover GPTProto models, retrieve live pricing, make documented API requests, submit custom generations, and poll asynchronous tasks through local MCP tools.937 npmMIT- AlicenseNot gradedqualityBmaintenanceEnables API development directly from MCP clients by creating and editing collections, running requests through the real CLI, generating documentation, and starting mock servers.74 npmMIT
- AlicenseAqualityCmaintenanceProvides full Devin API coverage via MCP servers, enabling programmatic management of sessions, knowledge, playbooks, secrets, schedules, and attachments, plus a documentation-only DeepWiki proxy.313 npmMIT
- AlicenseNot gradedqualityDmaintenanceProvides MCP clients with a local gateway to the official command-line tool, enabling headless prompts and structured output while automatically rotating API keys on rate-limit responses so long-running sessions are not interrupted.62 npmMIT

Devnors Data MCP Serverofficial
AlicenseNot gradedqualityDmaintenanceEnables MCP clients to discover capabilities and call legal, enterprise, content, and express APIs using a Devnors Data API Key.449MIT
TDQS
Scored across 7 tools
Each tool targets a distinct action (runtime manifest, storefront state, advisory chat, agent run, diagnostic, CSV conversion, purchase), and descriptions include explicit WHEN TO CALL / WHEN NOT TO CALL guidance. The main soft spot is the cluster of 'run/produce a report' tools — ask_dxpert, run_agent, and run_diagnostic overlap conceptually (advisory vs. agent vs. readiness scoring) though the descriptions do distinguish them well.
Most tools follow a verb_noun snake_case pattern (get_runtime_manifest, get_storefront, ask_dxpert, run_agent, run_diagnostic, start_purchase). 'csv_to_bundle' is a noun_to_noun converter name that breaks the verb-first convention, but overall readability and consistency are strong.
Seven tools is well-scoped for a multi-capability server covering advisory, agents, diagnostics, conversion, and purchases. Each tool earns its place with no redundant entries and no obvious padding.
The surface covers the core workflows (ask, run agent, diagnose, convert, purchase, check plan/runtime), but descriptions repeatedly instruct the agent to READ GET /api/catalog and GET /api/agents/catalog for live prices and agent availability, yet no tool exposes those endpoints. This forces the agent to quote from memory or guess availability, a notable gap in the advertised flow.