"Element" matching MCP servers:

An MCP server that lets AI agents design complete websites and generate import-ready Elementor v4 JSON, allowing for automated website building with structural validity.

Enables AI to interact with Revit via MCP, allowing data retrieval and element creation, modification, and deletion.

A Sketch file processing MCP server that enables AI tools to analyze Sketch design files and generate code, with smart token optimization and 16 professional tools for design element discovery and analysis.

MCP server enabling AI assistants to create and edit Excalidraw diagrams as Obsidian-native .excalidraw.md files, with style presets, batch element creation, arrow binding, and an Obsidian selection bridge for localized edits.

Enables agents to convert Figma frames into self-contained HTML and then iteratively verify the rendered code in Chromium against the design using pixel diffs and element bounding-box checks until it converges.

Create visual whiteboards, diagrams, flowcharts, and project plans from AI conversations. 17 MCP tools for board management, element creation, and real-time collaboration.

A local dev server with MCP interface for building HTML mockups together with an AI agent, enabling live collaborative editing through element selection and live preview.

Enables AI agents to programmatically control a live Excalidraw canvas with element-level CRUD operations and real-time synchronization. It supports iterative diagramming through scene descriptions, screenshots, and advanced layout tools for collaborative AI-human workflows.

Enables AI agents to inspect Unity UI Toolkit screens, examine element structure and styles, and capture screenshots without entering Play Mode or building a Player.

A Model Context Protocol (MCP) server that enhances Figma design integration by adding element position information to API responses, enabling AI assistants to better understand spatial relationships and convert designs to code more accurately.

Provides AI clients with a safe, typed connection to WordPress core and Elementor workflows, enabling page building, element and widget editing, template and global style management, and access to content, media, and settings through the Model Context Protocol.

Enables AI assistants to control Blockbench projects via MCP, allowing them to create and delete cubes and inspect model structure. Provides tools for project info, element listing, and cube manipulation.

Enables AI agents to read, build, refactor, and govern Elementor websites through a Model Context Protocol server and companion WordPress plugin with atomic validation, backups, and rollback.

A pyRevit extension and Python server that enables AI clients to interact with a live Autodesk Revit session through tools for project info, view management, element operations, and schedule management.

A multi-tenant MCP gateway that connects Claude to Elementor Pro WordPress sites, enabling site listing, tool discovery, and execution of Elementor actions through natural language.

MCP server that turns AI into an SVG artist. One rendering engine with a rich JSON schema, AI controls all design parameters. Renders animated SVGs with CSS @keyframes and SMIL animations. Supports 16+ element types, parametric curves, pattern groups, gradient/filter/clip/mask definitions, and PNG preview. No external dependencies, runs locally via npx.

Enables AI coding agents to inspect the currently selected Figma element or find layers by name, extracting layout, colors, typography, borders, and shadows as compact design tokens while exporting SVG and PNG assets straight into the local project. It connects over a local WebSocket to a running Figma session, so no API key, Dev Mode subscription, or manual ZIP export is required.