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

MCP server for Splice CAD cable assembly and wiring harness design tool. Enables AI agents to search parts, build harness plans, create components with specs, and generate manufacturing documentation.

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 searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.

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 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.

Translates natural language commands into structured geometric operations for a simulated CAD engine using LLMs. It enables users to create shapes, modify dimensions, and perform 3D operations like extrusion through the Model Context Protocol.

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

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.

Provides 12 tools to query South Korean building register data, including title sheets, floor details, and official house prices via the data.go.kr API. It enables users to perform smart building lookups and region code searches using natural language.

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

CAD-engineering MCP tool server for parametric modeling, DFM validation, mechanical calculations, and more. Enables code-CAD builds (build123d/CadQuery), model inspection, meshing, and mechanical calculators via MCP stdio.

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.

A parametric CAD workspace as an MCP server, enabling agents to create, edit, and manipulate 3D models through tools, with a live studio UI and STL/OBJ import/export.

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

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.

MCP server that lists available GitHub Models and compares responses from multiple models for the same prompt.

Enables AI assistants to read, modify, and verify AutoCAD 2027 drawings using transactional, safety-checked CAD tools, with optional headless DXF/PNG/PDF drawing and preview when AutoCAD is unavailable.

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.