"MCP to Control CAD Tools for Building Models and Automating Manufacturing" matching MCP servers:

Enables MCP clients to inspect FreeCAD documents and export named solids to STL, find and derive OrcaSlicer presets, preview and run slices with recorded manifests, and then read G-code metadata, query a Moonraker printer, upload G-code, and start an uploaded print as a separate confirmed step.

Enables exploration of manufacturing equipment data and analysis of failure risk, supporting monitoring, failure classification, and anomaly detection through natural language.

Enables manufacturing traceability queries and analysis through GraphRAG, supporting semantic search, graph traversal, natural language to Cypher, defect chain retrieval, requirement traceability, and product health dashboards.

Enables AI agents to design parametric 3D CAD models of industrial machinery end-to-end, including modeling, assembly, validation, and manufacturing drawings, through 79 MCP tools.

MCP server for Autodesk Inventor that provides 32 tools for parametric control of CAD models via COM automation.

MCP server for manufacturing defect investigation using knowledge graphs and graph analytics. Enables LLM agents to retrieve context, find similar cases, and generate investigation reports from manufacturing data.

Enables traceable warehouse CAD round trips and bounded Agent-to-AutoCAD MCP tools for auditing, editing, and rebuilding CAD models.

MCP server that exposes CAD geometry reasoning over STEP files to LLMs, allowing natural language queries about parts, assemblies, dimensions, holes, and mass properties.

Enables users to control CAD software like AutoCAD, GstarCAD, and ZWCAD through natural language instructions via the Model Context Protocol. It supports automated drawing of shapes, layer management, and saving designs to DWG files without manual interface interaction.

Give your AI assistant the ability to inspect, measure, and compare 3D CAD models by dropping in a STEP file and asking engineering questions. Runs entirely on your machine with no cloud, no CAD license, and no setup.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Turns product ideas into rendered UI screen mockups and a buildable component manifest, so downstream agents can develop real screens from the generated designs.

Enables an LLM to design parametric 3D parts in pure NumPy and verify they are actually printable before exporting them. Provides topology checks (watertightness, genus, shell count, wall thickness), self-rendered views, and gated STL/OBJ export that refuses broken solids.

Enables AI agents to create, inspect, render, and export 2D engineering drawings through DXF files, including entities, dimensions, hatches, splines, blocks, layers, PNG previews, and vector PDFs without needing a CAD GUI.

Enables reading, analyzing, and editing CAD files (DXF and DWG) via natural language, including entity queries, layer management, and safe copy-based edits.

Enables agents to plan on-site AI inference deployments with vendor-neutral hardware sizing, specification-first BOMs, sourcing evidence screening, compliance review, and staged deployment plans.

Enables an AI to open and operate a CAD viewer for DXF, DWG, and Gerber/Excellon files, zooming, panning, clicking entities, toggling layers, and measuring while receiving updated screens and exact drawing data.

Agent-facing garment CAD control plane providing local stdio MCP servers, a shared Python SDK, preview/commit transactions, and GarmentCode-compatible serialization for designing garments programmatically.

An MCP server that provides 75 validated tools for Autodesk Fusion 360, enabling common CAD operations like sketching, extruding, and joint creation with structured error handling.

An MCP server that wraps the @apitomy/data-models library for querying, validating, and editing OpenAPI and AsyncAPI documents.

A safety-first foundation for connecting an MCP client to AutoCAD, currently providing read-only drawing status and health/version/capabilities tools via a Python MCP server and localhost C# bridge.

Enables agent-driven CAD automation by inspecting, editing, and validating DWG drawings through a handle-first workflow, with support for visual grounding, CADPlan execution, and local SQLite workspace management.

MCP server for AI-driven CAD operations, enabling parametric modeling, build, inspection, measurement, rendering, and diff comparison with STEP, DXF, and GLB export.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables controlling CAD software (AutoCAD, GstarCAD, ZWCAD) through natural language instructions, allowing users to create and modify drawings without manually operating the CAD interface.

Enables AI agents to interact with CAD software through semantic spatial topology and architectural ontology, supporting drawing, block/layer/entity management, and safe preview-apply transaction workflows for AutoCAD, ZWCAD, GstarCAD, and BricsCAD.

Turn STEP, BREP and IGES files into CAD-style views, ISO drawing sheets, photorealistic renders, GIF animations and MP4 videos, with exact measurements and clash checks.

Enables MCP clients to create, inspect, and modify DXF and native DWG drawings through 101 cad_* tools, including layers, blocks, DWG title frames, layout viewports, page setups, and PDF plotting. DXF workflows run without AutoCAD, while DWG, print-resource, and field-linked operations require a locally running AutoCAD instance on Windows.

Enables users to connect existing CAD software to AI through a local MCP and Skill layer for drawing reading, statistics, constrained batch edits, original-drawing protection, and visual feedback.

Exposes Pre-DCR and Auto-DCR building scrutiny workflows as AI-consumable tools, enabling AI assistants to open DXF drawings, validate layers, compute areas, run regulatory checks, and generate compliance reports via natural language.