control-expert-mcp
Related Servers
Alternatives to control-expert-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceAn MCP server that lets AI agents interact with Siemens TIA Portal via its Openness API.-
- FlicenseBqualityBmaintenanceUniversal MCP server for industrial PLC communication, enabling AI agents to read sensors, alarms, status, setpoints, and write setpoints via adapters for Modbus, S7, or custom PLCs.6-
- FlicenseNot gradedqualityDmaintenanceMCP server for TwinCAT 3 PLC development enabling AI coding agents to build, configure, deploy, and debug TwinCAT PLC projects through a standard tool interface.1-
- AlicenseNot gradedqualityCmaintenanceThe first and only MCP server for PLC (Programmable Logic Controller) intelligence. Give any AI agent direct access to industrial automation data — ladder logic, tag databases, cross-references, fault root cause analysis, and sequence blockersMIT
- FlicenseNot gradedqualityAmaintenanceMCP server that connects AI assistants to Siemens TIA Portal via the Openness API. AI-assisted PLC programming, project management, hardware configuration, cross-reference analysis, and deployment. 19 tools, 230 actions.39-
- AlicenseAqualityFmaintenanceMCP server for industrial PLC integration, enabling AI to read tags, monitor alarms, and interact with Allen-Bradley ControlLogix PLCs via natural language.9MIT
TDQS
Scored across 52 tools
Most tools have clearly distinct purposes, with descriptions that specify their exact scope. A few pairs like get_dtm_dataset/get_master_dtm_dataset and set_dtm_dataset/set_master_dtm_dataset could cause confusion, but descriptions clarify the distinction.
Tool names predominantly follow a verb_noun snake_case pattern (e.g., add_drop, create_section, list_variables). A few names like configure_cpu_ethernet are longer, and some use different verb prefixes (e.g., new_project, change_cpu), but overall the pattern is consistent.
52 tools is high for a single server, but the domain of PLC configuration and programming is complex, justifying many tools. The number is borderline; some tools could be consolidated (e.g., multiple DTM-related tools), but the granularity aids clarity.
The tool set covers the full project lifecycle, hardware configuration, programming, variable management, simulation, and settings. All major operations are present, and there are no obvious gaps for the intended domain.