Designpin MCP Server runs on your own machine — the client starts it, so there is no endpoint to ping. 27 installs a week from npm. Last commit 2 May 2026.
Push HTML prototypes to DesignPin for team review and pull reviewer feedback into your AI.
Today is the operative word: we check Designpin MCP Server every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add designpin-mcp-server -- npx -y @designpin/mcp-server
{
"mcpServers": {
"designpin-mcp-server": {
"args": [
"-y",
"@designpin/mcp-server"
],
"command": "npx"
}
}
}
[mcp_servers.designpin-mcp-server]
command = "npx"
args = ["-y", "@designpin/mcp-server"]
{
"mcpServers": {
"designpin-mcp-server": {
"args": [
"-y",
"@designpin/mcp-server"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"designpin-mcp-server": {
"args": [
"-y",
"@designpin/mcp-server"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
DESIGNPIN_API_KEY (DesignPin project-scoped API key. Generate at https://designpin.pro under Project Settings. Required for uploadVersion and listComments tools; not required for createShareLink.), DESIGNPIN_PROJECT_ID (Firestore project document ID the API key is scoped to. Required when using uploadVersion or listComments.), DESIGNPIN_BASE_URL (API base URL. Defaults to https://designpin.pro. Override only for testing against a staging or alternate host.).
The author declared them in the registry entry; get the values from the project itself.
Translate HTML prototypes into Figma using your design system's real components and tokens.
A home for your agent's HTML artifacts - publish, pull, share and review them over MCP.
Deploy prototypes and collect team feedback from Claude Code, Cursor, or any MCP client.
Manage feedback, ratings, surveys, changelogs, and review tasks in your SeggWat projects.
Search 148 curated design styles and pull tokens, recipes, and shadcn commands into your AI IDE.
Decision intelligence for product teams. Turn scattered feedback into signal you can act on.
Read and resolve human feedback pinned on your live prototype, straight from your coding agent.
UX-review and product-feedback MCP: annotated screenshots and reviews your AI agent can act on.
Answers built from our own checks of this server.