"A search for information about Cursor (likely the AI code editor or computer cursor)" matching MCP servers:

Provides local MCP tools for Cursor Agent to manage a live HTML artboard preview, including opening the artboard and revealing the design folder.

Enables Cursor AI to read and modify Figma designs programmatically via the Model Context Protocol.

An Excalidraw editor for DeepSeek Harness that lets AI models create, edit, and inspect diagrams, including image capture and revision management.

Provides MCP tools to read and edit live Pen Editor documents, including structure, layout, variables, screenshots, and batch design DSL, plus static guidelines and style guides.

Enables interactive editing of scientific SVG figures in chat, allowing users to open, inspect, modify, undo/redo, and export SVGs through direct manipulation or natural language commands.

Lets AI agents automate the PlayCanvas Editor directly, creating and editing projects, entities, scripts, assets, templates, animation, scenes, builds and store content through natural language. It also launches projects at runtime to capture screenshots, logs and live state, so agents can confirm that scenes actually run.

Enables AI agents to automate the PlayCanvas Editor and verify that scenes actually run, covering project, entity, script, asset, scene, runtime, build, and VCS operations through a built-in Editor client.

Enables Claude to create and edit Minecraft skins in real time inside the Minecraft Skins Editor, with painting tools, undo/redo, and skin downloads.

Enables Cursor AI to read and modify Figma designs via the Model Context Protocol, allowing programmatic control over documents, components, styles, and more.

A Windows computer-control MCP server for the DeepSeek Harness plugin that lets an agent take screenshots, magnify the view for low-vision assistance, move and click the mouse, type and press keys, enumerate and focus windows, and switch input methods. It also bridges to Krita to drive drawing, pressure-curve, liquify, smudge, and brush operations.

Enables AI agents to drive the PlayCanvas Editor directly, letting them create and edit entities, scripts, assets, templates, scenes, builds and project settings, then launch the game and inspect it through screenshots, logs and input to confirm scenes actually run.

Enables AI agents to automate, edit, and inspect a connected PlayCanvas project's scenes, entities, scripts, assets, templates, animation, builds, store assets, and runtime state, including launching apps and capturing screenshots to verify behavior.

Lets AI agents drive the PlayCanvas Editor directly—creating and editing entities, scripts, assets, templates, animations, scenes, builds, and version control—and then launch the project to verify it actually runs. It also covers project management, viewport control, runtime input, logs, and screenshots, with the MCP client built into the Editor so no browser extension is needed.

Enables creating and editing Figma-like 16:9 HTML slide decks through a visual canvas, with tools to open existing HTML, manage decks, and export slides as presentable HTML.

Enables AI agents to automate the PlayCanvas Editor directly through its built-in MCP client, manipulating projects, entities, scripts, assets, scenes, builds and version control, then launching the app and inspecting runtime state and screenshots to confirm scenes actually run.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

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

Connects MCP-compatible AI assistants to Azgaar's Fantasy Map Generator so they can view, inspect, edit, and export fantasy maps in a live local browser, including borders, states, terrain, layers, and files. It runs locally and offline after installation, supports collaborative manual editing, undo, autosave, and text-only map output for models that cannot see images.

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.