"SolidWorks 3D CAD software and resources" matching MCP servers:

Enables AI agents to drive SolidWorks for parametric modelling, aerospace part generation, sheet metal, weldments, assemblies, drawings, simulation, inspection, and file export. It provides approval-gated operations, verification tools, and journaling for safe, recoverable design automation.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Enables multimodal AI to convert photos with reference objects into parametric OpenSCAD models and watertight 3D-printable STL files, including calibration, part generation, and printability inspection.

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 converting software development requirements into traceable estimates, WBS breakdowns, PERT calculations, risk registers, roadmaps, quotations, and professional PDF proposals or action plans. It supports reviewing assumptions, exclusions, scope gaps, and commercial documentation before sending deliverables to clients.

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.

Enables AI assistants to search many 3D asset sites at once, inspect licences and metadata, and download selected models, materials, textures, HDRIs, or game asset packs directly into a project.

Enables AI agents and LLM platforms to create and manage live 3D isometric sessions, upsert agents, update progress and status, trigger speech bubbles, and remove agents through stateful MCP tools over STDIO or HTTP.

MCP server for generating print-ready 3D models from text descriptions via a multi-agent pipeline, enabling AI assistants to create and optimize STL files.

Enables AI assistants to generate 3D product viewers, AR try-on experiences, Shopify integrations, and SEO metadata for e-commerce stores.

Open-source home design and floor plan editor for AI agents: draw walls and rooms, place furniture, doors and windows, build kitchens and wardrobes, check lighting, ergonomics, electrical and plumbing against building codes, and render the plan, 3D views or photorealistic images. Runs in the desktop app, the browser or the hosted server, and every change can be undone.

Enables interaction with 3D printer management systems through an MCP server, supporting STL file manipulation, slicing, and control of printers like OctoPrint, Klipper, Duet, and more.

Turns a single image of an object into a textured 3D model (GLB with web-ready copy and six-view previews) on your own NVIDIA GPU, returning the written files and a preview. Runs locally as an MCP tool or, optionally, offloads the job to hosted GPUs with an API key.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Enables automated CAD operations via natural language, supporting both AutoCAD LT on Windows and headless DXF generation on any platform.

Enables 3D model generation via natural language, supporting text-to-3D and image-to-3D with remote or local deployment options.

Enables AI agents to control and manipulate live 3D scenes across frameworks like Three.js, A-Frame, and Babylon.js using a comprehensive set of object and environment tools. It features an integrated in-world chat system that allows for real-time scene modifications directly from within the 3D canvas.

Enables comprehensive Google Meet and Calendar management through Google Calendar API v3 and Google Meet API v2, supporting calendar event creation with Meet links, space management, transcription, recording, attendance tracking, and meeting moderation controls.

Enables high-quality 3D-style cartoon image generation using Google Gemini AI alongside secure file system operations like reading, writing, and managing directories. It provides a dual-purpose toolkit for creative asset generation and local file management via the Model Context Protocol.

Enables LLM clients such as Cursor and Claude to discover and use generated REST services through MCP tools for create, update, and delete actions and MCP resources for list and get-by-id context. Services generated in one command are exposed simultaneously as REST endpoints and MCP tools and resources.

Enables AI assistants to interact with generated REST APIs by discovering and using CRUD tools and read-only data resources.

Enables AI assistants to discover and invoke CRUD tools and read-only resources over the Model Context Protocol for generated API services.

Enables AI assistants to interact directly with generated REST APIs by exposing CRUD operations as MCP tools and read-only data as resources.

Exposes generated CRUD services to LLM clients over the Model Context Protocol, providing tools for create, update, and delete actions plus read-only resources for listing and fetching records by id. It lets assistants like Claude, ChatGPT, and Cursor discover and manipulate the same data served by the project's REST endpoints without any extra glue code.

Exposes every generated CRUD service to LLM clients such as Claude, ChatGPT, or Cursor through discoverable MCP tools for create, update, and list actions plus read-only resources, so models can query and manipulate data without raw HTTP calls. It runs alongside the same codebase's REST endpoints, letting clients and AI share one data layer.

Enables LLMs to discover and invoke generated CRUD operations as MCP tools and read data through MCP resources, alongside standard REST endpoints, using one codebase.

Enables LLMs to discover and invoke generated CRUD tools and resources, allowing AI assistants to interact with the same data exposed by the REST API. Supports MCP clients such as Cursor and Claude over HTTP.

Enables LLMs to discover and invoke generated API actions as MCP tools and read context through MCP resources for list and get-by-id operations. It provides HTTP-based MCP access for clients such as Cursor and Claude without extra glue code.

Enables LLMs to interact directly with generated REST APIs by exposing CRUD actions as MCP tools and read-only data as MCP resources.