Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"designpin": {
"env": {
"DESIGNPIN_API_KEY": "dp_live_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
"DESIGNPIN_PROJECT_ID": "proj_example_abc123"
},
"args": [
"-y",
"@designpin/mcp-server"
],
"command": "npx"
}
}
}Are you the author?
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Push HTML prototypes to DesignPin for team review and pull reviewer feedback into your AI.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@designpin/mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked @designpin/mcp-server against OSV.dev.
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An MCP server that lets any AI assistant push HTML prototypes to DesignPin for team review and read back reviewer feedback.
DesignPin is a tool for reviewing HTML prototypes with DOM-anchored comments. This package wraps the DesignPin REST API as a Model Context Protocol server, exposing three tools — createShareLink, uploadVersion, listComments — to any MCP-compatible AI client.
Once configured, your AI assistant — Claude Desktop, Cursor, VS Code (Copilot), Gemini CLI, or any other MCP-compatible client — can ship a generated HTML prototype to a shareable review link, pull back reviewer comments to incorporate, and push iterations as new versions, all from inside the same conversation that produced the design.
For ChatGPT users: ChatGPT does not currently support MCP servers. Use the direct REST API via Custom GPT Actions instead — no MCP server needed.
The server is invoked by your MCP client; you don't run it directly during normal use. The simplest path is npx invocation, which fetches and runs without a global install:
npx -y @designpin/mcp-server --api-key dp_live_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx --project-id proj_example_abc123
For most workflows you'll set this in your MCP client's config file rather than running it manually — see Client config examples below.
To verify the install works:
npx -y @designpin/mcp-server --version
# → 0.1.0
npx -y @designpin/mcp-server --help
# → usage info
Each key is scoped to a single project. Generate separate keys per client / use case so you can revoke them individually.
Both CLI flags and environment variables are supported. Flags win when both are present.
| CLI flag | Env var | Required | Default | Description |
|---|---|---|---|---|
--api-key | DESIGNPIN_API_KEY | for uploadVersion, listComments | — | Your dp_live_... API key |
--project-id | DESIGNPIN_PROJECT_ID | for uploadVersion | — | Project ID the key is scoped to |
--base-url | DESIGNPIN_BASE_URL | no | https://designpin.pro | API base URL (override for testing) |
--help | — | no | — | Show usage and exit |
--version | — | no | — | Print version and exit |
Security note: CLI flags are visible in
psoutput on multi-user systems. Prefer environment variables on shared machines.
createShareLinkCreate a public review link for an HTML prototype. No project setup required — creates a brand-new throwaway project. Rate-limited to 10 requests/hour per IP.
| Input | Type | Required | Description |
|---|---|---|---|
html | string | yes | Complete HTML document to share |
title | string | yes | Display name for the share, max 80 chars |
authorName | string | no | Author name shown on review page |
Returns: JSON with url, reviewToken, projectId, moduleId, versionId.
Example prompt to your AI assistant:
"Take this HTML and create a DesignPin share link titled 'Landing page hero V3'."
uploadVersionUpload a new HTML version to an existing DesignPin module. Auto-increments versionNumber. Requires the API key + projectId from configuration plus a moduleId from the user.
| Input | Type | Required | Description |
|---|---|---|---|
html | string | yes | Complete HTML for the new version |
moduleId | string | yes | Target module within the configured project |
description | string | no |