"Resources for Learning Web Scraping" matching MCP servers:

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Provides deterministic, read-only design knowledge for AI coding agents to help them choose visual directions, plan UI states, and compose design tokens, all without network access.

A local, offline MCP server that enables AI agents to collaborate with SketchUp for controlled modeling, editing, and review tasks via 41 MCP tools.

Local MCP bridge that exposes the ChatGPT Figma connector to OpenCode without launching Codex, using the existing authenticated session.

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.

A Python MCP server that allows your agent to outsource HTML generation and rendering, storing artifacts in memory and supporting both full HTML and resource URIs.

Enables AI coding agents to read and write a user's Figma file through the Figma Plugin API, offline and privately, without API tokens or rate limits.

MCP server that exposes the @bunge/ds-components design system catalog, allowing AI assistants to list, search, and retrieve component details including inputs, outputs, usage examples, and import instructions.

Enables Claude Desktop to control FreeCAD for 3D CAD modeling, including creating, editing, and deleting objects, executing Python code, and running FEM analyses.

MCP server that controls Blender via HTTP bridge, enabling 3D modeling, animation, and export operations from Cursor agent.

Enables Codex to interact with and control FreeCAD 1.1.x locally through typed MCP tools, including health checks and an optional Python execution escape hatch for direct document manipulation.

Enables AI assistants to directly control and interact with the Unreal Editor through natural language, allowing tasks such as spawning actors, building levels, creating materials, and running Python scripts.

Enables agent-driven CAD design through deterministic source files (.kcad.ts), including model evaluation, validation, and export to STEP/STL via MCP tools for review and introspection.

An MCP server that enables AI agents to semantically retrieve premium UI components from Awwwards and adapt them into clean React + Tailwind code.

Node.js MCP server enabling AI assistants to interact with Autodesk Revit for model operations, data queries, and sketch-to-building generation via LLM.

Connects Claude Desktop to a running FreeCAD instance, enabling document management, part creation and editing, direct Python execution, parts library insertion, FEM analysis, and 3D view screenshots.

Digital business cards, lead capture forms, and service listings - built and managed by AI. 63 tools with live browser editing, stock photos, web scraping, and guided tours.

Enables AI assistants to build trauma-informed, dyslexia-friendly educational software with specialized tools for accessible UI generation, content review, and multisensory learning activities.

A FastMCP server providing structured SVG authoring tools for LLMs, enabling create, edit, and render SVG graphics through hierarchical primitives, gradients, paths, and reusable resources.

Provides tools and resources for interacting with xTool laser machines, enabling material settings recommendations, design generation, troubleshooting, and machine knowledge through natural language.