"Information about CorelDRAW MCP (Model Context Protocol)" matching MCP servers:

Enables AI assistants on Windows to inspect, edit, and save CorelDRAW documents through COM, including template-driven batch generation from CSV/Excel data and post-save verification.

Converts raster drawings such as diagrams, maps, charts, and scans into editable CorelDRAW vector files in a single call, with automatic self-checking that reports uncertain elements back to the calling AI for correction and rebuild.

Enables AI agents to drive CorelDRAW via COM API, creating and editing documents, replacing text, manipulating shapes, running preflight checks, and batch-exporting production files from natural language instructions.

This MCP server exposes CorelDRAW as a tool server, enabling AI agents to create documents, replace text, manipulate shapes, run preflight checks, and batch-export production files from natural language instructions via COM API.

Enables AI agents to programmatically create, inspect, edit, validate, and headlessly render traditional 2D hand-drawn animation projects, including frames, layers, audio, camera keyframes, spritesheets, and video or GIF exports.

Open-source MCP server for Autodesk Revit 2022 to 2027: read, audit and edit live models with 89 tools, one Undo entry per change, and a workstation read-only lock.

Enables control of an already open CorelDRAW document via MCP, with live editing, atomic undo, and safe coordinate-based operations. Supports Windows-only COM automation and integrates with desktop AI clients like Claude Desktop.

Enables an AI assistant to open 3D model files (STL, 3MF, Bambu Studio and OrcaSlicer projects) in a local browser viewer where the user clicks exact spots to leave feedback. Each note comes back with the part name, millimetre coordinates, surface direction and a numbered screenshot, so the assistant can revise the design and show the new version.

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.

Converts Lanhu design URLs into AI-ready implementation context including HTML+CSS (Tailwind), image downloads, design tokens, and guidance.

Open, secure runtime that puts Revit, Rhino, Navisworks, and Power BI behind one MCP call center, enabling an AI agent to orchestrate them directly instead of manually dumping data between disconnected apps.

Enables AI clients using the Model Context Protocol to automate vector design on Windows 10, including creating and editing documents, applying prepress checks, exporting previews, and producing final PDF/CDR deliverables, with optional remote operation via Telegram.

Enables AI clients such as Claude Desktop, Claude Code, Cursor, and VS Code to drive a local CorelDRAW instance through natural language via its COM API, covering batch image search and PowerClip placement, batch data/sign board production, org-chart generation, shape and bitmap import, and export. All edits run through session and version-checked atomic operations that roll back on error and can be undone in one step.

Loads your project's Tailwind CSS config and exposes tools for AI agents to query actual design tokens and validate class names, preventing hallucination of non-existent utilities.

A read-only MCP server that extracts actual Figma prototype flows, transitions, and per-screen interactions so agents can see navigational behavior rather than infer it. It reports explicit source and destination IDs with warnings for unresolved or ambiguous destinations, without guessing or writing back to Figma.

Converts Figma designs into structured code context with token-aware styling, enabling AI agents to generate production-level frontend code.

Enables users to generate rigged, game-ready gun models in Blender from parameterized presets or platforms, including attachments, animation clips, fact sheets, and reference-photo validation.

An MCP server that gives AI coding tools access to Figma design data for accurate one-shot implementation of designs.

An MCP server that gives AI coding agents access to Figma design data, enabling pixel-perfect implementation of designs through structured data extraction, image downloads, and design token retrieval.

Exposes tools to ingest FigJam boards, retrieve context summaries, and answer free-form questions about the board content.

Converts Figma design data into structured semantic analysis JSON and screenshots for AI agents to use in design-to-code workflows.

Gives AI coding agents like Cursor access to Figma file, frame, and group data, simplifying and translating Figma API responses into concise layout and styling context so designs can be implemented accurately in any framework in one shot.

Enables AI agents to extract design systems, analyze components, and maintain design-code consistency from Figma files, providing intelligent component analysis and accessibility compliance.

Enables coding agents like Cursor to access Figma design data, fetch layout and styling information, and implement designs in any framework.

Enables AI coding agents such as Cursor to access Figma file, frame, and group data, simplifying Figma API responses into relevant layout and styling context so designs can be implemented accurately in code.

Enables Cursor to access Figma design data via MCP, allowing it to fetch simplified layout and styling information to accurately implement designs from Figma files.

Enables AI coding agents to access Figma design data, including file, frame, and group metadata, so they can implement designs accurately in code. It simplifies and translates Figma API responses into relevant layout and styling information.

Enables AI clients to control a running Blender instance through the Model Context Protocol, allowing scene inspection, object creation and editing, rendering, and execution of Blender Python. It works locally via a WebSocket bridge between the MCP server and a Blender add-on.

A Model Context Protocol (MCP) server for semantic SVG icon search. Generate infographic SVG icons by keyword — over 100,000 icons with semantic search support.

Enables AI assistants to generate and validate 30+ UML and other diagram types (Mermaid, D2, Graphviz, BPMN, C4, and more) through the Model Context Protocol, returning rendered SVG, PNG, PDF, JPEG, or base64 output via Kroki, PlantUML, and Mermaid backends.