"Sketch" matching MCP servers:

An official MCP server that allows AI clients to interact with Sketch designs, enabling exploration, iteration, asset export, and more.

Local MCP server for parsing Sketch exported HTML zip archives and extracting design structure information.

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 to provide Sketch layout information to AI coding agents like Cursor

Proxies the GitHub MCP server, returns compact schema instead of raw JSON, and enables agents to extract specific fields locally via query_response, reducing context size and cost.

MCP server that parses .sketch design files into CSS-aligned, LLM-friendly JSON, enabling AI coding agents to generate high-fidelity HTML, Vue, or React code.

Connects Sketchup to Claude AI through the Model Context Protocol, allowing Claude to directly interact with and control Sketchup for prompt-assisted 3D modeling and scene manipulation.

Integration that connects Sketchup to Claude AI through the Model Context Protocol, allowing Claude to directly interact with and control Sketchup for prompt-assisted 3D modeling, scene creation, and manipulation.

Allows interaction with Sketchfab's 3D model platform through Claude or Cursor, enabling users to search, view details, and download 3D models directly from the AI interface.

Enables interaction with Arduino development through arduino-cli, allowing sketch management, code compilation and uploading, library and board operations, serial monitoring, and AI-powered circuit diagram generation using WireViz.

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

Enables AI assistants to directly view, understand, and modify local Sketch/Figma design files, including writing code, applying semantic edits, and exporting assets, all through a local MCP server without uploading data.

Provides adaptive question cards and guided multi-round interviews inside Codex, letting users clarify requirements one decision at a time and automatically sending chosen answers into the conversation.

Enables AI agents to search a 2663-part library, place and wire components, validate and headless-render .fzz sketch bundles, generate custom .fzp parts with view SVGs, and hand sketches off to the Fritzing GUI for human review.

Enables direct interaction and control of SketchUp through Claude AI using the Model Context Protocol and a TCP socket connection. It allows for prompt-assisted 3D modeling, component manipulation, and the execution of arbitrary Ruby code within the SketchUp environment.

Provides read-only access to NALLAR engineering evidence and portfolio artifacts over MCP, exposing tools, resources, and prompts via stdio JSON-RPC.

Enables agents to query whether a WordPress plugin, npm package, or PyPI project looks abandoned, returning a live abandonment-risk score, status, and the registry signals behind it, plus raw registry, GitHub, and version history detail. Calls are paid per request in USDC via x402, with free discovery and source-listing tools.

An MIT-licensed DevSpace distribution with an elastic ChatGPT Classic multi-agent runtime layer for managing multiple independent worker conversations and scaling them dynamically.