"Siemens" matching MCP servers:

Lets AI assistants search and read vendor documentation from the TIA Portal and Industrial Operations X portals in real time, exposing search, table-of-contents, publication-listing, and Markdown page-reading tools.

Industrial-grade MCP server for Siemens TIA Portal (V17–V21). 120+ tools for PLC programming: create blocks (FB/FC/OB/DB), manage tags, compile, download, and simulate with PLCSim Advanced. On-premise, sovereign-AI compatible.

An open-source MCP server for industrial automation that generates, debugs, and validates PLC code for Siemens S7-1200, serving as a free and customizable alternative to Siemens Eigen Engineering Agent.

Enables interaction with Siemens Polarion requirements management system through natural language. Supports authentication, project management, work item queries, document access, and requirements analysis.

Cross-OEM industrial machine intelligence. Normalizes telemetry across 16 manufacturer families (Fanuc, Siemens, Haas, DMG Mori, Mazak), enables plain-English operational automation, and produces tamper-evident work records. 14 MCP tools.

Agent-PLC MCP Server: auto-detect, probe, read, write and diagnose Modbus TCP / FINS / MELSEC / Siemens S7comm PLCs, with transparent proxy and fault-injection listener.

Built by a healthcare IT engineer with 19 years of PACS/RIS/integration experience. Bridges DICOM, HL7v2, and FHIR — maps between standards, decodes vendor private tags (GE, Siemens, Philips), generates Mirth Connect channels, and explains integration patterns. 12 tools covering tag lookup, message parsing, cross-standard mapping, and channel generation.

Connects AI assistants to Siemens Questa Visualizer, enabling natural language control of HDL simulation such as opening waveforms, running simulation, and examining signal values.

Enables local Siemens NX automation from MCP clients through an interactive visual bridge or scripted batch workflows, with extended modeling tools for sketching, extruding, hole, edge blend, chamfer, and boolean subtract, plus automatic path detection.

Enables MCP clients to connect to and interact with Siemens PLCs via python-snap7, supporting read/write operations on data blocks, memory, timers, counters, and CPU management.

Enables safe, local Siemens NX automation through MCP, providing tools for part creation, sketching, extrusion, feature manipulation, measurement, save-as, and STEP export within a confined workspace.

Enables AI assistants to interact with SIEMENS WinCC Unified SCADA systems through their GraphQL API, supporting operations like reading/writing tag values, browsing objects, querying historical data, and managing alarms.

Connects AI agents to Siemens industrial PLCs for automatic monitoring and control of industrial equipment.

Integrates with Siemens Polarion ALM to manage test cases, test runs, and results, with support for JUnit import and spreadsheet export.

Enables interaction with Siemens TIA Portal projects directly from VS Code or Claude Desktop using GitHub Copilot and the TIA Openness API. It supports connecting to TIA Portal instances, exporting blocks or types, and performing project operations like compilation via natural language.

Provides AI coding agents with accurate knowledge of the Siemens NXOpen .NET API by performing hybrid retrieval over local documentation, eliminating hallucinated API calls.

MCP server providing access to Siemens WinCC V8 SCADA systems via REST API, enabling tag management, alarm logging, and archive operations.

An MCP server for controlling Siemens TIA Portal, enabling AI agents to connect, read PLC tags, list blocks, inspect project structure, and compile projects. This community edition provides 5 read-only tools under the MIT license.

AI-powered industrial fault diagnosis MCP server with 8 tools for diagnosing equipment faults, searching parts, decoding VINs, and managing equipment profiles. Covers 313+ fault codes for Allen-Bradley, Siemens, ABB, Mitsubishi, and Fanuc PLCs.

Enables AI agents to generate and validate Siemens S7-1200 SCL code from process descriptions, leveraging an industrial automation knowledge base.