Feedbucket MCP Server

A Model Context Protocol (MCP) server that lets AI assistants (Claude Code, Cursor) manage website feedback from Feedbucket.

Beta Software: This project is in beta. Use at your own risk. Please report issues on GitHub.

Prerequisites

Before installing this MCP server, make sure you have:

1. A Feedbucket account
2. Feedbucket installed on your website
3. Protected mode enabled (recommended):
   • Go to Widget Settings
   • Set "Trigger Feedbucket using a query string" to Yes
   • Save settings and copy your secret key

Quick Start

1. Install from npm

npm install -g feedbucket-mcp

2. Run the setup wizard

# For protected projects:
feedbucket-setup https://your-website.com YOUR_FEEDBUCKET_SECRET

# For public projects:
feedbucket-setup https://your-website.com

The setup script automatically:

• Extracts the project ID from your website HTML
• Fetches the private key from Feedbucket API
• Configures Claude Code and Cursor

3. Restart your IDE

Restart Claude Code or Cursor to load the new MCP server.

4. Start using it

Ask your AI assistant:

• "Show me unresolved feedback from Feedbucket"
• "What's the feedback summary for this project?"
• "Add a comment to feedback #12345 saying we've fixed this"

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Alternative: Clone from GitHub

If you prefer to clone the repository:

git clone https://github.com/swiftcomza/feedbucket-mcp.git
cd feedbucket-mcp
npm install && npm run build
npm run setup -- https://your-website.com YOUR_FEEDBUCKET_SECRET

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Available Tools

Tool	Description
feedback_list	List and filter feedback with smart summarization
feedback_get	Get full details of a specific feedback item
feedback_stats	Quick project overview (total, resolved, by type, recent activity)
feedback_comment	Add comments to feedback items
feedback_resolve	Mark feedback as resolved
api_status	Check API connection status

feedback_list

List feedback with powerful filtering:

Parameters:
- resolved (boolean): Filter by resolution status
- limit (number): Items to retrieve (default: 10, max: 50)
- offset (number): Skip items for pagination
- summary (boolean): Return condensed format (default: true)
- page_filter (string): Filter by page URL (partial match)
- reporter_filter (string): Filter by reporter name
- feedback_type (string): 'screenshot', 'video', or 'text'
- created_after (string): ISO date filter

feedback_get

Get complete details for a single feedback item:

Parameters:
- feedback_id (number, required): The feedback ID

Returns full text, all comments, attachments, browser/device info, and console logs.

feedback_stats

Get a quick project health overview:

Returns:
- Total feedback count
- Resolved vs unresolved breakdown
- Feedback by type (screenshot/video/text)
- Recent activity (7 days, 30 days)
- Top 5 pages with most feedback

feedback_comment

Add a comment to a feedback item:

Parameters:
- feedback_id (number, required): The feedback ID
- comment (string, required): Comment text
- reporter_name (string): Defaults to "Claude AI Assistant"
- reporter_email (string): Defaults to "claude@anthropic.com"
- resolve (boolean): Also resolve the feedback (default: false)

feedback_resolve

Mark a feedback item as resolved:

Parameters:
- feedback_id (number, required): The feedback ID

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Setup Options

Automatic Setup (recommended)

# Protected project - provide URL and secret
npm run setup -- https://your-website.com YOUR_SECRET

# Public project - just the URL
npm run setup -- https://your-website.com

Manual Project ID (if auto-detection fails)

# With project ID only (public)
npm run setup -- --project-id tMbUCuQ4FeFJVViMEPlb

# With project ID and API key (protected)
npm run setup -- --project-id tMbUCuQ4FeFJVViMEPlb --api-key YOUR_SECRET

Configure only one IDE

# Claude Code only
npm run setup -- https://your-website.com YOUR_SECRET --claude

# Cursor only
npm run setup -- https://your-website.com YOUR_SECRET --cursor

Extract credentials without configuring

npm run setup -- https://your-website.com YOUR_SECRET --extract

Full help

npm run setup -- --help

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Manual Configuration

If you prefer to configure manually:

Claude Code

Add to .mcp.json in your project root:

{
  "mcpServers": {
    "feedbucket": {
      "command": "node",
      "args": ["/path/to/feedbucket-mcp/dist/index.js"],
      "env": {
        "FEEDBUCKET_PROJECT_ID": "your-project-id",
        "FEEDBUCKET_PRIVATE_KEY": "your-private-key",
        "FEEDBUCKET_API_KEY": "your-api-key"
      }
    }
  }
}

Or use the CLI:

claude mcp add feedbucket \
  -e FEEDBUCKET_PROJECT_ID="your-project-id" \
  -e FEEDBUCKET_PRIVATE_KEY="your-private-key" \
  -e FEEDBUCKET_API_KEY="your-api-key" \
  -- node /path/to/feedbucket-mcp/dist/index.js

Cursor

Add to .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "feedbucket": {
      "command": "node",
      "args": ["/path/to/feedbucket-mcp/dist/index.js"],
      "env": {
        "FEEDBUCKET_PROJECT_ID": "your-project-id",
        "FEEDBUCKET_PRIVATE_KEY": "your-private-key",
        "FEEDBUCKET_API_KEY": "your-api-key"
      }
    }
  }
}

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Environment Variables

Variable	Required	Description
FEEDBUCKET_PROJECT_ID	Yes	Project ID from the data-feedbucket attribute
FEEDBUCKET_PRIVATE_KEY	Yes	Private key for commenting/resolving (auto-fetched by setup)
FEEDBUCKET_API_KEY	No*	API key for protected projects (feedbucketKey from URL)

*Required if your project uses query string protection.

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Development

# Install dependencies
npm install

# Development mode (with hot reload)
npm run dev

# Type checking
npm run typecheck

# Linting
npm run lint

# Build for production
npm run build

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Architecture

This MCP server was reverse-engineered from the Feedbucket browser widget to provide:

• Smart Summarization: Optimizes large datasets for AI consumption
• Client-side Filtering: Reduces API calls by filtering locally
• Full TypeScript: Strict mode with comprehensive types
• Production Ready: Proper error handling and validation

API Endpoints Used

Method	Endpoint	Purpose
GET	/projects/{id}	Fetch project with all feedback
POST	/feedback/{id}/comments	Add comment to feedback
PUT	/feedback/{id}/resolve	Mark feedback as resolved

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License

MIT