Pincushion MCP Server

The implementation-context layer for AI-native development. Stakeholders drop visual pins on any page of your live app; your AI coding agent reads each pin through MCP and ships the fix — in Claude Code, Cursor, VS Code, Windsurf, or any MCP client.

What makes a Pincushion pin different

A pin isn't a feedback item — it's an agent work packet. Each one carries everything an agent needs to implement the change without a back-and-forth:

• URL + element selector — exactly what, exactly where
• Screenshot + viewport + DOM snippet — the visual and structural context
• Thread + project context — the conversation and the codebase it lives in
• Likely files + acceptance criteria — where to look, and how to know it's done

The loop closes itself: a stakeholder pins it → your agent reads it via MCP and fixes it in your IDE → the resolve records the commit, branch, and PR → an optional post-deploy critique verifies the fix actually landed.

This server is also how Pincushion AI runs design/copy/a11y critiques on a live page and writes the pins straight back onto it.

Installation

# npm
npm install -g pincushion-mcp

# pnpm
pnpm add -g pincushion-mcp

# yarn
yarn global add pincushion-mcp

Or run directly without installing:

# npm
npx pincushion-mcp --project-dir .

# pnpm
pnpm dlx pincushion-mcp --project-dir .

# yarn
yarn dlx pincushion-mcp --project-dir .

Quick Start

1. Install the Browser Extension

Download the Pincushion Chrome extension from pincushion.io/install/chrome.

2. Configure Your Agent

Pick your AI agent below and follow the configuration for your setup.

3. Start Using

Once configured, your agent can:

• See all feedback: get_feedback_summary
• Find specific pins: search_annotations
• Fix and mark as done: fix_and_resolve

Agent Configuration Guides

Cursor

File: .cursor/mcp.json

{
  "mcpServers": {
    "pincushion": {
      "command": "npx",
      "args": ["pincushion-mcp", "--project-dir", "."]
    }
  }
}

pnpm / yarn users: replace "command": "npx" with "command": "pnpm" and add "dlx" as the first arg, or use "command": "yarn" with "dlx" likewise.

With Supabase sync:

{
  "mcpServers": {
    "pincushion": {
      "command": "npx",
      "args": [
        "pincushion-mcp",
        "--project-dir", ".",
        "--sync-url", "https://your-supabase.com/api",
        "--api-key", "YOUR_API_KEY"
      ]
    }
  }
}

Claude Desktop

File: ~/.config/Claude/claude_desktop_config.json (Linux/Windows) or ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)

{
  "mcpServers": {
    "pincushion": {
      "command": "npx",
      "args": ["pincushion-mcp", "--project-dir", "/path/to/your/project"]
    }
  }
}

pnpm users:

{
  "mcpServers": {
    "pincushion": {
      "command": "pnpm",
      "args": ["dlx", "pincushion-mcp", "--project-dir", "/path/to/your/project"]
    }
  }
}

yarn users:

{
  "mcpServers": {
    "pincushion": {
      "command": "yarn",
      "args": ["dlx", "pincushion-mcp", "--project-dir", "/path/to/your/project"]
    }
  }
}

With Supabase sync:

{
  "mcpServers": {
    "pincushion": {
      "command": "npx",
      "args": [
        "pincushion-mcp",
        "--project-dir", "/path/to/your/project",
        "--sync-url", "https://your-supabase.com/api",
        "--api-key", "YOUR_API_KEY"
      ]
    }
  }
}

Claude Code (CLI)

Run this command to add Pincushion to Claude Code:

claude mcp add pincushion -- npx pincushion-mcp --project-dir .

Or with Supabase sync:

claude mcp add pincushion -- npx pincushion-mcp --project-dir . --sync-url https://your-supabase.com/api --api-key YOUR_API_KEY

VS Code (Copilot / Continue)

File: .vscode/settings.json

{
  "mcp.servers": {
    "pincushion": {
      "command": "npx",
      "args": ["pincushion-mcp", "--project-dir", "${workspaceFolder}"]
    }
  }
}

Windsurf / Codeium Windsurf

File: ~/.windsurf/mcp.json or ~/.config/windsurf/mcp.json

{
  "mcpServers": {
    "pincushion": {
      "command": "npx",
      "args": ["pincushion-mcp", "--project-dir", "."]
    }
  }
}

Antigravity

File: ~/.antigravity/mcp.json

{
  "mcpServers": {
    "pincushion": {
      "command": "npx",
      "args": ["pincushion-mcp", "--project-dir", "."]
    }
  }
}

OpenAI Codex / REST API Clients

For tools that don't support MCP directly, use the REST API wrapper:

npx pincushion-mcp --rest --port 3456

This starts an HTTP server on localhost:3456. Endpoints:

• GET /health — Check server status
• POST /call-tool — Invoke a tool
  • Body: { "toolName": "get_feedback_summary", "args": {} }

Example using curl:

curl -X POST http://localhost:3456/call-tool \
  -H "Content-Type: application/json" \
  -d '{"toolName": "get_feedback_summary", "args": {}}'

CLI Flags

npx pincushion-mcp [flags]

Examples

Local project:

npx pincushion-mcp --project-dir /path/to/project

With Supabase sync:

npx pincushion-mcp \
  --project-dir /path/to/project \
  --sync-url https://abcd1234.supabase.co/api \
  --api-key sb_project_key_abc123...

REST API server:

npx pincushion-mcp --rest --port 8080

Tools

get_annotations

Retrieve annotations from .feedback/. Filter by page, component, or status.

Parameters:

• pageUrl (string, optional) — Filter by page URL (partial match)
• componentName (string, optional) — Filter by LWC component name
• status (string, optional) — Filter by open, in-progress, or resolved

Example:

await mcp.callTool('get_annotations', {
  componentName: 'wmlHomePage',
  status: 'open'
});

search_annotations

Full-text search across all annotations, comments, selectors, and tags.

Parameters:

• query (string, required) — Search term

Example:

await mcp.callTool('search_annotations', {
  query: 'button label'
});

get_feedback_summary

High-level rollup of all feedback: counts by status, priority, page, and component.

Example:

await mcp.callTool('get_feedback_summary', {});

get_component_feedback

Get all feedback for a specific LWC component with a plain-language summary.

Parameters:

• componentName (string, required) — LWC component name

Example:

await mcp.callTool('get_component_feedback', {
  componentName: 'wmlHomePage'
});

resolve_annotation

Mark an annotation as resolved after fixing the issue.

Parameters:

• annotationId (string, required) — Annotation ID
• comment (string, optional) — Resolution message
• resolvedBy (string, optional) — Name to attribute resolution (default: "AI Agent")

Example:

await mcp.callTool('resolve_annotation', {
  annotationId: 'ann_abc123',
  comment: 'Updated button label in line 42 of wmlHomePage.js'
});

add_agent_reply

Add a reply to an annotation thread (e.g., ask clarifying questions).

Parameters:

• annotationId (string, required) — Annotation ID
• body (string, required) — Reply message
• author (string, optional) — Author name (default: "AI Agent")

Example:

await mcp.callTool('add_agent_reply', {
  annotationId: 'ann_abc123',
  body: 'Is this button in the main navigation or sidebar?'
});

fix_and_resolve

Combine fixing code and marking an annotation as resolved in one call. Optionally records commit / branch / PR metadata so the dashboard can backlink to what shipped.

Parameters:

• annotationId (string, required) — Annotation ID
• fixDescription (string, required) — Description of the fix
• filePath (string, optional) — File where fix was applied
• lineNumber (number, optional) — Line number of the fix
• commitSha (string, optional) — Commit SHA that landed the change
• branchName (string, optional) — Branch the commit was made on
• prUrl (string, optional) — Pull request URL (GitHub/GitLab/Bitbucket; shape-validated)

Example:

await mcp.callTool('fix_and_resolve', {
  annotationId: 'ann_abc123',
  fixDescription: 'Updated button label to match design spec',
  filePath: 'src/components/wmlHomePage.js',
  lineNumber: 42,
  commitSha: 'abc123def456',
  branchName: 'pincushion/checkout-fix',
  prUrl: 'https://github.com/acme/app/pull/142'
});

get_implementation_packet

Fetch a single implementation packet for one page URL — selector list, full pin payloads, suggested branch name, and traceability config. Use when an agent wants to batch-fix one page in a single branch.

await mcp.callTool('get_implementation_packet', { pageUrl: '/checkout' });

assign_pin_to_agent

Dispatch a pin straight to your local coding agent. Promotes the pin to ready if not already, marks pending_implementation, and writes a .feedback/.agent-queue/<id>.json trigger file that agent-loop.mjs picks up and shells out to Cursor / Claude Code / Codex.

await mcp.callTool('assign_pin_to_agent', { annotationId: 'ann_abc123' });

link_pin_deploy

Attach a deploy URL to a resolved pin. Typically called by the deploy-hook edge function once production includes the fix, but available manually too.

await mcp.callTool('link_pin_deploy', {
  annotationId: 'ann_abc123',
  deployUrl: 'https://acme-app.vercel.app'
});

record_pin_verification

Write Pincushion AI's post-deploy verdict back to the pin. Called by the critic agent after /critique-latest-deploy runs against a fresh deploy.

await mcp.callTool('record_pin_verification', {
  annotationId: 'ann_abc123',
  status: 'verified',  // or 'regressed' or 'inconclusive'
  notes: 'Button matches the primary token. No regression on adjacent CTAs.'
});

get_time_to_fix_metrics

Pro/Team feature — Free callers get sample size + upgrade hint. Median + p25/p75 of pin-to-resolve duration, with a 5-pin minimum so the metric is never noise.

await mcp.callTool('get_time_to_fix_metrics', { scope: 'project', projectId: 'pc_proj_abc' });
// → { sampleSize, thresholdMet, median, p25, p75, medianHuman, ... }

get_setup_instructions (NEW)

Get setup and configuration instructions for all supported agents.

Example:

await mcp.callTool('get_setup_instructions', {});

Slack and Microsoft Teams integrations

Pincushion can notify Slack or Microsoft Teams through project-scoped incoming webhooks. The defaults are intentionally quiet and Figma-inspired: notify when a pin is ready for implementation, when someone is @mentioned, and when a collaborator adds follow-up on work already being handled. Every newly dropped pin and every resolution are opt-in events.

Recommended use cases:

• Developer channel: pin_ready and follow_up
• Design or PM channel: mention and optionally resolved
• Launch or QA channel: pageUrlPatterns plus pin_ready, follow_up, and resolved
• Temporary incident channel: enable a focused subscription, then pause it after the ship window

Example:

await mcp.callTool('configure_collaboration_integration', {
  projectId: 'my-project',
  provider: 'slack',
  webhookUrl: 'https://hooks.slack.com/services/...',
  targetLabel: '#product-feedback',
  events: ['pin_ready', 'mention', 'follow_up'],
  pageUrlPatterns: ['staging.example.com/checkout'],
  sendTest: true
});

For Slack, use create_slack_install_link when the hosted Slack app secrets are configured. It returns an Add-to-Slack URL; after approval, Slack returns the incoming webhook and Pincushion stores it automatically.

Use list_collaboration_integrations to audit configured destinations, remove_collaboration_integration to disconnect one, and preview_collaboration_notification to see the payload shape before adding a real webhook. Webhook URLs are stored server-side and returned only as masked values.

Auto-Agent Loop (Optional)

For agents that don't watch the file system (Claude Code, Cursor, generic), agent-loop.mjs polls .feedback/.agent-queue/ and dispatches new pins to the configured agent automatically.

# from inside the pincushion-mcp directory
npm run agent-loop -- --project-dir /path/to/your/project

# or directly
node agent-loop.mjs --project-dir /path/to/your/project [--agent claude-code|cursor|generic] [--interval 3000]

The bridge (server.js) writes one trigger file per approved pin into .feedback/.agent-queue/. The loop reads them, builds a prompt with the pin's thread + element selector, and shells out to the chosen agent. The agent uses MCP tools (claim_pin → fix → fix_and_resolve) and the queue file is removed when the pin closes.

detectAgent() auto-detects claude or cursor on the PATH; falls back to generic (writes the prompt to .feedback/.agent-prompt and stdout). Run with --interval 3000 to control poll cadence.

Local File Structure

The server reads annotations from .feedback/ in your project:

.feedback/
├── annotations/
│   ├── example-com-login.json
│   ├── example-com-dashboard.json
│   └── ...
└── index.json

Each annotation file contains:

{
  "pageUrl": "https://example.com/login",
  "pageTitle": "Login",
  "annotations": [
    {
      "id": "ann_abc123",
      "status": "open",
      "priority": "high",
      "tags": ["design", "accessibility"],
      "createdAt": "2026-03-19T10:30:00Z",
      "element": {
        "lwcComponent": "wmlLoginForm",
        "selector": ".login-button",
        "textContent": "Sign In"
      },
      "thread": [
        {
          "author": "Design Team",
          "timestamp": "2026-03-19T10:30:00Z",
          "body": "Button label should say 'Sign In' not 'Login'",
          "type": "comment"
        }
      ]
    }
  ]
}

Supabase Sync

To sync annotations with a remote Supabase database:

1. Set up a Supabase project at supabase.com
2. Create an annotations table with columns matching the annotation schema
3. Generate an API key from your project settings
4. Configure the server with --sync-url and --api-key

Example:

npx pincushion-mcp \
  --project-dir . \
  --sync-url https://your-project.supabase.co/rest/v1 \
  --api-key sb_project_key_abc123...

The server merges local .feedback/ files with remote data, with remote taking precedence on newer updates.

Pro License

Pincushion Pro includes additional features. Activate with --license-key:

npx pincushion-mcp --project-dir . --license-key YOUR_PRO_KEY

Troubleshooting

"Module not found" error

Make sure you have Node.js 18+ installed:

node --version

Install dependencies:

npm install @modelcontextprotocol/sdk

Annotations not appearing

Check that .feedback/ exists in your project directory:

ls -la .feedback/

If it doesn't exist, create it and add some test annotations, or the extension will create it when you pin your first feedback.

Supabase sync not working

Verify your credentials:

curl -H "x-api-key: YOUR_API_KEY" \
  https://your-project.supabase.co/rest/v1/annotations

Agent can't find the server

In your agent config, use the full path to pincushion-mcp:

which pincushion-mcp
# Use the output path in your config

Or use npx to let it find the package:

{
  "command": "npx",
  "args": ["pincushion-mcp", "--project-dir", "."]
}

Development

Clone the repository and install dependencies:

git clone https://github.com/jcooley8/pincushion-plugin.git
cd pincushion-plugin
npm install

Run the server:

npm start

Or with test data:

npm start -- --project-dir ./test-feedback

License

MIT License. See LICENSE file for details.

Support

• Issues: GitHub Issues
• Docs: Pincushion Documentation

Changelog

v1.0.0 (March 2026)

• Initial release
• Support for Cursor, Claude Desktop, Claude Code, VS Code, Windsurf, Antigravity
• Local .feedback/ file support
• Supabase remote sync
• REST API wrapper for non-MCP clients
• New tools: fix_and_resolve, get_setup_instructions