CoDesign
OfficialRelated Servers
Alternatives to CoDesign
- AlicenseNot gradedqualityDmaintenanceEnables Cursor to access Figma design data via MCP, allowing it to fetch simplified layout and styling information to accurately implement designs from Figma files.3,063 npmMIT
- AlicenseAqualityAmaintenanceEnables AI assistants to control Adobe Photoshop programmatically, supporting recipe workflows, state awareness, and generative AI features through natural language commands.41281,623 npm742MIT
- AlicenseNot gradedqualityCmaintenanceMCP server for design decisions during a build, providing live UI/animation library docs (via llms.txt) and a curated knowledge base of UX laws and UI conventions. It enables agents to look up real component APIs and apply design best practices, running locally via stdio or hosted on Vercel.0MIT

Figma MCP Serverofficial
FlicenseNot gradedqualityBmaintenanceProvides Figma design context to AI agents, enabling code generation, design system integration, and canvas manipulation through MCP.2,101-- AlicenseAqualityCmaintenanceEducational MCP server that connects AI agents to the Canva Connect API, enabling design search, creation, and export through natural language.3MIT
Related Servers
- AlicenseAqualityAmaintenanceLocal-first visual design workspace for AI assistants. Compose wireframes and branded multi-page HTML/CSS documents with live preview, annotations, brand and asset libraries, typed data collections, layout validation, PDF export, and draft-only Gmail handoff.165 npm20MIT
- AlicenseNot gradedqualityBmaintenanceProvides an editable, locally persisted design canvas inside the Codex desktop app, letting an agent create and modify frames, text, vectors, groups, and layouts through MCP tools. Humans can review, drag, pan, zoom, and undo alongside the agent, with edits autosaved to disk and exportable as images, SVG, design JSX, or .fig backups.7 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables Codex to inspect, edit, validate, and run image and video canvas boards, including generation, asset saving, timeline editing, export, and version comparison through local stdio tools.MIT
- AlicenseCqualityBmaintenanceEnables AI agents to autonomously create and edit graphic designs, multi-page PDF catalogs, brochures, social media assets, and slide decks on a local browser canvas. It provides vision-in-the-loop feedback, layout audits, and export capabilities for print-ready or web-ready outputs.5352 npmMIT

TopMediAi-MCPofficial
AlicenseAqualityCmaintenanceEnables local Codex users to generate and preview images, music, video, and speech, with model catalogs, cost estimates, budget validation, task recovery, and account-scoped media handling.35MIT- AlicenseNot gradedqualityCmaintenanceLets AI agents design alongside you on a live canvas by reading, writing, styling and inspecting real HTML/CSS designs, capturing pixel-accurate screenshots, exporting assets and PDFs, and managing design tokens, comments and files. It exposes the same 37 tool names, parameters and response shapes as Paper, so existing agent prompts and workflows run against a local canvas over Streamable HTTP or stdio.MIT
TDQS
Scored across 19 tools
Each tool targets a distinct concern: revision lifecycle, asset management, auth, skills, export, or diagnostics. The asset_search/asset_add/asset_generate trio is clearly separated by operation (find/add/generate), and list/history/changes/inspect are differentiated by scope. No two tools appear to overlap in a way that would cause misselection.
Bare verbs (edit, export, preview, import, list, view) coexist with prefixed names (asset_search, asset_add, asset_generate) and noun-only names (skill, history, checklist, scorecard, diagnostics). While the core verbs are recognizable and readable, there is no single predictable pattern across the set.
At 19 tools, the server sits in the 16-25 range that feels heavy. However, the broad scope (design editing, assets, auth, skills, diagnostics, quality gates) justifies most of them, so it is borderline rather than bloated.
The design lifecycle is well covered: create (edit, import), read (inspect, preview, history, list), update (edit, rename), and export, plus asset management and quality gates. The main gap is the absence of delete/remove operations for designs or assets, and asset management lacks update/delete, but agents can work around these.