pixso-mcp-server
OfficialClick on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@pixso-mcp-serverImplement this Pixso layer as a React component using Tailwind CSS"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Pixso MCP Server
Bring Pixso design context into your AI coding workflow. Pixso MCP Server helps AI assistants understand design layers, component variants, variables, and local styles so they can answer design questions and produce implementation-ready code.
What you can do
Turn a selected Pixso layer into React, Vue, HTML/CSS, or other frontend code.
Inspect layout, hierarchy, text, fills, typography, effects, and other layer details.
Understand every state and property combination in a component variant set.
Extract design variables and variable groups for design-token workflows.
Review local color, text, effect, and grid styles from a design file.
Compare an implementation with its design source or generate theme configuration.
Related MCP server: Figma MCP Server
Available tools
Tool | What it provides | Required input |
| Structured details for a selected layer, including its hierarchy, layout, content, and visual properties. This is the main tool for design-to-code tasks. |
|
| All variants associated with a component set, a variant component, or an instance whose main component belongs to a variant set. |
|
| The variable groups defined in a design file, useful for understanding its token organization. |
|
| Design variables associated with the selected layer, such as reusable colors, spacing, sizes, and other token values. |
|
| Reusable local styles defined in the file, including color, text, effect, and grid styles. |
|
You normally do not need to choose a tool yourself. Share a Pixso link and tell your AI assistant what you want; it can select the appropriate tool.
Requirements
Node.js 20 or newer
A Pixso account and valid Pixso Token
An MCP-compatible AI coding client
Configure your MCP client
Add the following server entry to your MCP client configuration:
{
"mcpServers": {
"pixso": {
"command": "npx",
"args": [
"-y",
"@pixso/pixso-stdio-mcp",
"--token",
"YOUR_PIXSO_TOKEN"
]
}
}
}Replace YOUR_PIXSO_TOKEN with your Pixso Token, then restart or reconnect the
server in your MCP client. The default Pixso URL is https://pixso.cn/api/mcp/mcp.
Private or custom Pixso deployment
If your organization uses another Pixso deployment, add its complete MCP URL:
{
"mcpServers": {
"pixso": {
"command": "npx",
"args": [
"-y",
"@pixso/pixso-stdio-mcp",
"--url",
"https://example.pixso.cn/api/mcp/mcp",
"--token",
"YOUR_PIXSO_TOKEN"
]
}
}
}Keep your Token private. Do not commit a real Token to a repository or include it in screenshots, logs, or issue reports.
Use a Pixso design link
Copy a link to the layer you want the AI assistant to inspect. A layer link looks like this:
https://{pixso-domain}/app/design/{file_key}?item-id={guid}file_keyidentifies the design file.item-idis the layerguidused by layer-specific tools.page-idis not a layerguid. For layer-specific tasks, share a link that containsitem-id.
File-level tools such as get_variable_sets and get_local_styles only need the
design file and can work without a selected layer.
Example requests
Implement this Pixso layer as a React component using Tailwind CSS:
https://pixso.cn/app/design/FILE_KEY?item-id=LAYER_GUIDAnalyze all variants of this button component and generate its TypeScript props.Extract the variables and local styles from this design file and generate CSS
custom properties for the project theme.Explain the layout, typography, colors, and spacing used by this selected layer.License
MIT
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/PixsoLtd/pixso-stdio-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server