ProduckAI MCP Server

$pip install produckai-mcp-server
README.md

Transform scattered voice of customer feedback into actionable insights.

ProduckAI MCP Server

Transform scattered voice of customer feedback into actionable insights using AI-powered analysis and seamless Claude Desktop integration.

🌟 What is ProduckAI?

ProduckAI MCP Server brings enterprise-grade product feedback analysis directly into your AI workflows. Seamlessly integrate with Claude Desktop to analyze customer feedback, generate insights, prioritize features, and create executive-ready PRDsβ€”all using natural language.

Key Value Proposition

  • 70% faster Scattered VOC -> AI-powered generation
  • Multi-source ingestion: Slack, Google Drive, Zoom, JIRA, CSV
  • Smart prioritization: 6-dimension VOC scoring
  • Evidence-backed decisions: Every PRD linked to customer quotes
  • 50 specialized tools: Complete workflow from collection to execution

Why Open Source?

Product management is evolving with AI, but most tools are closed source and expensive. This project exists to democratize AI-powered product management for teams of all sizes.

By open sourcing this MCP server, we're creating a platform where:

  • 🀝 PMs share learnings - Your feedback analysis insights help others prioritize better
  • πŸ”§ Engineers build together - Improve clustering algorithms, add integrations, enhance AI prompts
  • πŸ“š Community grows knowledge - Document best practices, share PRD templates, teach new PMs

This isn't just a toolβ€”it's a movement to make product management more data-driven, evidence-based, and accessible to everyone.

If you're a PM who's ever struggled with feedback overload, or an engineer building tools for PMs, this project is for you. Contribute,learn, and help shape the future of AI-assisted product management.


✨ Features

πŸ“₯ Multi-Source Feedback Collection

  • Slack - Auto-sync channels with AI-powered customer detection
  • Google Drive - Process docs, PDFs with OCR
  • Zoom - Auto-fetch recordings, AI transcript analysis
  • JIRA - Bidirectional sync with issue tracking
  • CSV/Manual - Bulk upload or quick capture

🧠 AI-Powered Analysis

  • Semantic Clustering - Group similar feedback automatically
  • Insight Generation - AI creates actionable themes
  • Sentiment Detection - Identify urgent vs nice-to-have
  • Customer Attribution - Auto-match feedback to customers

🎯 Smart Prioritization

  • VOC Scoring - 6-dimension scoring (0-100):
    • Customer Impact (30%) - Tier, revenue, strategic
    • Frequency (20%) - How often mentioned
    • Recency (15%) - How recent
    • Sentiment (15%) - Urgency level
    • Theme Alignment (10%) - Strategic fit
    • Effort (10%) - Implementation complexity

πŸ“„ PRD Generation

  • AI-Powered PRDs - Strategic documents from insights
  • Evidence-Based - Includes direct customer quotes
  • Segment-Aware - Tailored for Enterprise vs SMB
  • Risk Assessment - Effort-based implementation risks
  • Version Tracking - PRD history and updates

πŸ”„ JIRA Integration

  • Bidirectional Sync - Issues ↔ Feedback
  • Auto-Priority - VOC score β†’ JIRA priority
  • Issue Creation - Generate epics from insights
  • Linkage Tracking - Trace feedback to issues

πŸš€ Quick Start

Prerequisites

Installation

pip install produckai-mcp-server

Configuration

  1. Create environment file:

    cp .env.example .env
    # Edit .env and add your ANTHROPIC_API_KEY
    
  2. Configure Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

    {
      "mcpServers": {
        "produckai": {
          "command": "produckai-mcp",
          "env": {
            "ANTHROPIC_API_KEY": "your-api-key-here"
          }
        }
      }
    }
    
  3. Restart Claude Desktop

First Use

Try these commands in Claude:

"Upload the demo feedback CSV at ./demo-data/feedback.csv"
"Run clustering and show me the top themes"
"Calculate VOC scores and show top 5 insights"
"Generate a PRD for the highest-priority insight"

πŸ› οΈ Available Tools (50 Total)

πŸ“₯ Ingestion (21 tools)

  • Slack: setup, sync channels, tag customers, bot filters
  • Google Drive: setup, browse, sync folders, preview, processing

Tools (7)

slack_setupConfigure Slack integration for feedback ingestion.
sync_channelsAuto-sync Slack channels with AI-powered customer detection.
google_drive_syncProcess documents and PDFs from Google Drive with OCR.
zoom_fetch_recordingsAuto-fetch Zoom recordings and perform AI transcript analysis.
jira_syncBidirectional sync with JIRA issue tracking.
calculate_voc_scoresPrioritize features using 6-dimension voice of customer scoring.
generate_prdCreate AI-powered strategic PRDs from feedback insights.

Environment Variables

ANTHROPIC_API_KEYrequiredRequired for AI-powered analysis and PRD generation.

Configuration

claude_desktop_config.json
{"mcpServers": {"produckai": {"command": "produckai-mcp","env": {"ANTHROPIC_API_KEY": "your-api-key-here"}}}}

Try it

β†’Upload the demo feedback CSV at ./demo-data/feedback.csv
β†’Run clustering and show me the top themes from our Slack feedback
β†’Calculate VOC scores and show top 5 insights for the current quarter
β†’Generate a PRD for the highest-priority insight including customer quotes
β†’Sync our JIRA issues and update priorities based on recent customer sentiment

Frequently Asked Questions

What are the key features of ProduckAI MCP Server?

Multi-source ingestion from Slack, Google Drive, Zoom, JIRA, and CSV. AI-powered semantic clustering and sentiment detection for feedback. 6-dimension VOC scoring for evidence-based feature prioritization. Automated PRD generation with direct customer quote linkage. Bidirectional JIRA sync to turn insights into trackable issues.

What can I use ProduckAI MCP Server for?

Product Managers needing to synthesize thousands of Slack messages into feature requests. User Researchers wanting to cluster Zoom interview transcripts into actionable themes. Engineering leads looking to prioritize JIRA backlogs based on real customer impact scores. Startup founders needing to generate executive-ready PRDs backed by customer evidence.

How do I install ProduckAI MCP Server?

Install ProduckAI MCP Server by running: pip install produckai-mcp-server

What MCP clients work with ProduckAI MCP Server?

ProduckAI MCP Server works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

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