The native canvas runtime for AI design, connected through MCP.
git clone https://github.com/sologovision/flato-design-mcp{
"mcpServers": {
"flato-design-mcp": {
"command": "node",
"args": ["/path/to/flato-design-mcp/dist/index.js"]
}
}
}1 items in this repository
Use when creating, editing, inspecting, exporting, or troubleshooting Flato designs through Flato Design MCP tools such as flato_whoami, flato_get_design_context, flato_create_pages, flato_update_pages, flato_update_canvas, and flato_export_to_png.
MCP Servers overview
# Flato Design MCP Flato is the native canvas runtime for AI design. Flato gives AI agents a live, editable visual canvas for design work. Through MCP, agents can create, inspect, revise, export, and QA Flato projects while users keep full access to the browser editor. Flato Design MCP connects Codex, Claude Code, Cursor, and other MCP-capable agents to that native canvas. ```text https://api.flato.ai/api/mcp/editor ``` This repository is the official distribution package for setup docs, the base guide skill, Codex plugin packaging, examples, and registry/review metadata. It does not contain the Flato MCP server source code. ## Positioning Flato is the native canvas runtime for AI design, not a one-shot image generator or a static HTML deck generator. The MCP workflow is built around editable pages, structured blocks, fresh design context, explicit page and block ids, live editor handoff, and visual QA. Use this package when you want an AI agent to operate Flato's editable visual canvas safely through MCP. ## What's Included - `skills/flato-design-mcp-guide`: installable base guide skill for agents. - `plugins/flato-design-mcp-codex`: Codex plugin package with MCP config and the guide skill. - `.agents/plugins/marketplace.json`: Codex marketplace descriptor for this repo. - `docs/`: setup, OAuth, permissions, and troubleshooting notes. - `registry/`: MCP registry and platform review metadata drafts. - `examples/prompts/`: first prompts for testing the integration. ## Codex Install Codex can install this repo as a plugin marketplace: ```bash codex plugin marketplace add sologovision/flato-design-mcp --ref main codex plugin add flato-design-mcp-codex@flato-design-mcp codex mcp login flato-editor ``` Then open a new Codex conversation and verify: ```text Use Flato Design MCP. Call flato_whoami first and report the result. Do not create, edit, or write any project. ``` See [Codex setup](docs/setup-codex.md). ## Claude Code Install Add the hosted Flato MCP server: ```bash claude mcp add --transport http flato-editor https://api.flato.ai/api/mcp/editor ``` Then use the guide skill in `skills/flato-design-mcp-guide`. See [Claude Code setup](docs/setup-claude-code.md). ## Cursor And Other MCP Clients Use the hosted MCP server URL: ```text https://api.flato.ai/api/mcp/editor ``` Then follow the workflow in `skills/flato-design-mcp-guide/SKILL.md`. See [Cursor setup](docs/setup-cursor.md). ## OAuth Flato Design MCP uses browser OAuth. If needed, Flato asks you to sign in or create an account before authorization. Do not paste Flato passwords, bearer tokens, refresh tokens, or local OAuth cache contents into an agent conversation. See [Authentication](docs/authentication.md). ## Account And Subscription A Flato account is required for OAuth. A paid Flato subscription is not required to install, connect, or start using Flato Design MCP. Some features, exports, higher usage, team/workspace capabilities, or paid image generation and editing may still depend on the authenticated user's Flato plan or credits. Agents should report plan or credit errors from MCP instead of asking users to subscribe in advance. ## First Agent Workflow After connecting Flato MCP, an agent should: 1. Call `flato_whoami`. 2. Create or select a project with `flato_create_project`, `flato_use_project`, or `flato_use_share_link`. 3. Open the live Flato editor when requested. 4. Poll `flato_get_project_status` until `canWrite=true`. 5. Read `flato://canvas/fundamentals-v1`, or call `flato_get_canvas_fundamentals` if resource reading is unavailable. 6. Call `flato_get_design_context` before any write. 7. Use concrete page and block ids returned by fresh context reads. 8. Inspect `mcpFeedback` after writes. 9. Export and visually QA important results. ## Interactions Page-level interactions are authored through `interactiveScript` on `flato_create_pages` and `flato_update_pages`. Agents should rely on current MCP tool schemas and `flato://canvas/fundamentals-v1` for the full interaction contract instead of copying static schema fragments from this repo. Supported inline interaction events include click/input/change and desktop hover/mouse events such as `onclick`, `onmouseover`, `onmouseout`, `onmouseenter`, and `onmouseleave`. Hover is useful for desktop presentations; include click/tap behavior or a visible fallback when mobile touch users matter. ## Verified Smoke Test The v0.1.3 Codex plugin package uses the full guide skill and the current hosted Flato MCP contract. The Codex install path has been verified with: ```bash codex plugin marketplace add sologovision/flato-design-mcp --ref main codex plugin add flato-design-mcp-codex@flato-design-mcp codex mcp login flato-editor ``` An independent Codex CLI session successfully called `flato_whoami` through the installed `flato-editor` MCP server without creating or editing any Flato project. ## Screenshots ### GitHub release  ### Codex plugin install  ### Read-only MCP smoke test  ### Editable presentation canvas  ### Canvas editing and content tools  ### AI-assisted canvas edits  ### Codex working with the live canvas  ## Release Assets GitHub releases attach: - `flato-design-mcp-guide-vX.Y.Z.zip`: installable base guide skill. - `flato-design-mcp-codex-vX.Y.Z.zip`: Codex plugin package. ## Safety Principles - Do not ask users to paste passwords, bearer tokens, or local OAuth tokens. - Do not inspect local OAuth or token stores. - Do not guess `pageId` or `blockId`. - Do not claim generated assets are placed until a design write uses the returned asset URL. - Use backups before broad or risky edits. ## Related Flato Docs - User docs: https://www.flato.ai/docs/mcp - Agent-readable guide: https://www.flato.ai/docs/mcp.md - Flato app: https://www.flato.ai - Privacy: https://www.flato.ai/docs/privacy-policy - Terms: https://www.flato.ai/docs/terms-of-use ## Support And Security - Use GitHub Issues for setup and documentation problems. - See [SECURITY.md](SECURITY.md) for security reporting guidance. - Do not include tokens, passwords, or private project content in public issues. ## Roadmap This is the base package. Scenario-specific skills such as `flato-presentation-skill` should build on this guide instead of duplicating the connection, OAuth, targeting, and safety workflow.
What people ask about flato-design-mcp
What is sologovision/flato-design-mcp?
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sologovision/flato-design-mcp is mcp servers for the Claude AI ecosystem. The native canvas runtime for AI design, connected through MCP. It has 2 GitHub stars and was last updated 7d ago.
How do I install flato-design-mcp?
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You can install flato-design-mcp by cloning the repository (https://github.com/sologovision/flato-design-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is sologovision/flato-design-mcp safe to use?
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sologovision/flato-design-mcp has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains sologovision/flato-design-mcp?
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sologovision/flato-design-mcp is maintained by sologovision. The last recorded GitHub activity is from 7d ago, with 4 open issues.
Are there alternatives to flato-design-mcp?
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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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