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FeedbackBasket MCP Server

by deifos

FeedbackBasket MCP Server

Model Context Protocol (MCP) server for FeedbackBasket that allows AI assistants to query your project feedback and bug reports.

Features

  • 🔍 List Projects - View all your FeedbackBasket projects with summary statistics
  • 📝 Get Feedback - Retrieve feedback with filtering by category, status, sentiment, and more
  • 🐛 Get Bug Reports - Specifically fetch bug reports with severity classification
  • 🔎 Search Feedback - Search across all feedback content using text queries
  • 🔐 Secure Authentication - Uses API keys with project-level access control
  • 📊 Rich Statistics - Get counts by category, status, sentiment, and severity

Installation & Setup

1. Generate API Key

First, you'll need to create an API key from your FeedbackBasket account:

  1. Visit feedbackbasket.com and log into your account
  2. Navigate to your Account Settings (click your profile → Account)
  3. Find the "MCP API Keys" section
  4. Click "New API Key"
  5. Name your key (e.g., "Claude Desktop", "Cursor IDE", "Windsurf")
  6. Select projects you want to grant access to (or leave empty for all projects)
  7. Copy the generated API key (starts with fb_key_) - you'll only see the full key once!

💡 Tip: You can manage your API keys anytime from your account settings at feedbackbasket.com/account

2. Configure Your Editor

Add the MCP server to your editor's configuration:

Quick Setup (All Editors)
{ "mcpServers": { "feedbackbasket": { "command": "npx", "args": ["-y", "@feedbackbasket/mcp-server@latest", "--api-key", "fb_key_your_api_key_here"] } } }
Detailed Examples
Claude Desktop
{ "mcpServers": { "feedbackbasket": { "command": "npx", "args": [ "-y", "@feedbackbasket/mcp-server@latest", "--api-key", "fb_key_your_api_key_here" ] } } }
Cursor/Windsurf
{ "mcpServers": { "feedbackbasket": { "command": "npx", "args": [ "-y", "@feedbackbasket/mcp-server@latest", "--api-key", "fb_key_your_api_key_here" ] } } }
Environment Variable (Alternative)
{ "mcpServers": { "feedbackbasket": { "command": "npx", "args": ["-y", "@feedbackbasket/mcp-server@latest"], "env": { "FEEDBACKBASKET_API_KEY": "fb_key_your_api_key_here" } } } }

Usage Examples

Once configured, you can ask your AI assistant:

Project Overview

  • "Show me all my FeedbackBasket projects"
  • "What projects do I have and how much feedback do they have?"

Bug Reports

  • "Show me all bug reports from my projects"
  • "Get high severity bug reports that are still pending"
  • "Find bug reports for my main website project"

Feedback Analysis

  • "Show me negative feedback from the last week"
  • "Get all feature requests from my mobile app project"
  • "Search for feedback containing 'login error'"
  • "Show me reviewed feedback with positive sentiment"
  • "Find all pending bug reports with high severity"
  • "Search for feedback about 'payment issues' in my e-commerce project"

Available Tools

list_projects

Lists all projects accessible by your API key with summary statistics.

get_feedback

Retrieves feedback with optional filtering:

  • projectId - Filter by specific project
  • category - Filter by BUG, FEATURE, or REVIEW
  • status - Filter by PENDING, REVIEWED, or DONE
  • sentiment - Filter by POSITIVE, NEGATIVE, or NEUTRAL
  • search - Text search in feedback content
  • limit - Number of results (max 100)
  • includeNotes - Include internal notes

get_bug_reports

Specifically fetches bug reports with computed severity:

  • projectId - Filter by specific project
  • status - Filter by bug status
  • severity - Filter by high, medium, or low severity
  • search - Text search in bug reports
  • limit - Number of results (max 100)
  • includeNotes - Include internal notes

search_feedback

Searches feedback content across all accessible projects:

  • query - Search text (required)
  • projectId - Limit to specific project
  • category - Filter by category
  • limit - Number of results (max 50)

Security & Privacy

  • Read-only access - MCP server can only read data, never modify
  • Project-level permissions - Grant access only to specific projects
  • API key authentication - Secure token-based authentication
  • Usage tracking - Monitor API key usage in your dashboard
  • Revokable access - Instantly deactivate API keys if needed
  • Subscription limits respected - Only returns feedback within your plan limits

Troubleshooting

"Invalid or missing API key"

  • Check that your API key starts with fb_key_
  • Ensure the API key is still active in your dashboard
  • Verify the API key has access to at least one project

"No projects found"

  • Make sure your API key has been granted access to projects
  • Check that you have projects in your FeedbackBasket account

"Authentication failed"

  • Verify your API key hasn't been revoked
  • Check that the API key format is correct (71 characters, starts with fb_key_)

Installation Issues

  • Ensure you have Node.js installed
  • Try clearing npx cache: npx clear-npx-cache
  • Check your internet connection for package downloads

API Key Management

Visit your FeedbackBasket dashboard to:

  • Generate new API keys
  • Manage project access for existing keys
  • View usage statistics
  • Deactivate or delete keys
  • Monitor key activity

Support

-
security - not tested
F
license - not found
-
quality - not tested

Model Context Protocol server that enables AI assistants to query and analyze project feedback and bug reports from FeedbackBasket projects, with filtering by category, status, sentiment, and search capabilities.

  1. Features
    1. Installation & Setup
      1. 1. Generate API Key
      2. 2. Configure Your Editor
    2. Usage Examples
      1. Project Overview
      2. Bug Reports
      3. Feedback Analysis
      4. Filtering & Search
    3. Available Tools
      1. list_projects
      2. get_feedback
      3. get_bug_reports
      4. search_feedback
    4. Security & Privacy
      1. Troubleshooting
        1. "Invalid or missing API key"
        2. "No projects found"
        3. "Authentication failed"
        4. Installation Issues
      2. API Key Management
        1. Support

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