{
  "markdown": "# ICP Intelligence MCP v1.0.0\n\n**Deep ICP Analysis with Pattern Detection** - 9 tools for ideal customer profiling, market sizing, buyer mapping, and account prioritization.\n\n[![NPM Version](https://img.shields.io/npm/v/@shashwatgtmalpha/icp-intelligence-mcp)](https://www.npmjs.com/package/@shashwatgtmalpha/icp-intelligence-mcp)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![MCP Registry](https://img.shields.io/badge/MCP-Registry-blue)](https://registry.modelcontextprotocol.io)\n\n## 🚀 Quick Start\n\n```bash\n# Run directly with npx\nnpx -y @shashwatgtmalpha/icp-intelligence-mcp\n```\n\n### Claude Desktop Configuration\n\nAdd to your `claude_desktop_config.json`:\n\n```json\n{\n  \"mcpServers\": {\n    \"icp-intelligence-mcp\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@shashwatgtmalpha/icp-intelligence-mcp\"]\n    }\n  }\n}\n```\n\n---\n\n## 🛠️ Tools Overview\n\n| Tool | Purpose | Primary Output |\n|------|---------|----------------|\n| `icp_deep_dive` | Pattern detection from customer data | ICP profile with attributes |\n| `icp_scoring_model` | Auto-weighted qualification scorecards | Lead/account scoring model |\n| `icp_gap_analysis` | Current vs ideal customer comparison | Metric gaps & recommendations |\n| `icp_evolution_tracker` | Dynamic ICP monitoring | Win/loss pattern trends |\n| `icp_interview_synthesizer` | Extract patterns from interviews | Voice of customer insights |\n| `buyer_group_analyzer` | Decision dynamics mapping | Buying committee profiles |\n| `tam_sam_som_calculator` | Bottom-up market sizing | Market size with deal targets |\n| `lookalike_signal_generator` | Platform-specific targeting | Ad platform targeting criteria |\n| `account_prioritization` | Multi-dimensional ranking | Prioritized account tiers |\n\n---\n\n## 👤 Who Is This For?\n\n### Primary Users\n\n| Role | Key Tools | Use Cases |\n|------|-----------|-----------|\n| **Founders/CEOs** | `tam_sam_som_calculator`, `icp_deep_dive` | Market sizing, customer definition |\n| **CMOs/VPs Marketing** | `icp_gap_analysis`, `icp_evolution_tracker` | ICP health monitoring |\n| **Product Marketing** | `buyer_group_analyzer`, `icp_interview_synthesizer` | Buying committee, VOC |\n| **Demand Gen** | `lookalike_signal_generator`, `account_prioritization` | Targeting, ABM |\n| **Sales Ops/RevOps** | `icp_scoring_model`, `account_prioritization` | Lead scoring, account tiering |\n| **SDRs/BDRs** | `account_prioritization`, `icp_scoring_model` | Account qualification |\n\n### Job-to-Tool Mapping\n\n| Job To Be Done | Recommended Tool |\n|----------------|------------------|\n| \"I need to define our ideal customer profile\" | `icp_deep_dive` |\n| \"I need to create a lead scoring model\" | `icp_scoring_model` |\n| \"I need to compare our actual vs ideal customers\" | `icp_gap_analysis` |\n| \"I need to track how our ICP is changing\" | `icp_evolution_tracker` |\n| \"I need to synthesize customer interview insights\" | `icp_interview_synthesizer` |\n| \"I need to map the buying committee\" | `buyer_group_analyzer` |\n| \"I need to calculate our TAM/SAM/SOM\" | `tam_sam_som_calculator` |\n| \"I need targeting criteria for ad platforms\" | `lookalike_signal_generator` |\n| \"I need to prioritize our target accounts\" | `account_prioritization` |\n\n### Recommended Agent Skills\n\nThis MCP is included in these user-focused Agent bundles:\n\n| Agent Bundle | Tools Count | Best For |\n|--------------|-------------|----------|\n| **🎯 Founder GTM Copilot** | 10 tools | Founders, early-stage CEOs |\n| **📞 SDR Toolkit** | 8 tools | SDRs, BDRs |\n| **🎯 Product Marketing Engine** | 12 tools | PMMs |\n| **📊 Demand Gen & Ops** | 10 tools | Demand gen, marketing ops |\n| **💼 Account Executive Deal Desk** | 12 tools | AEs, account managers |\n\n---\n\n## 📖 Tool Details\n\n### 1. ICP Deep Dive (`icp_deep_dive`)\n\nDetect patterns from customer data to define ICP attributes.\n\n**Inputs:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `customer_data` | ✅ | Description of current customers |\n| `best_customers` | ❌ | Characteristics of top customers |\n| `industry_focus` | ❌ | Industry context |\n\n**Output:** ICP profile with firmographics, technographics, behavioral signals, and champion characteristics.\n\n### 2. ICP Scoring Model (`icp_scoring_model`)\n\nGenerate auto-weighted qualification scorecards.\n\n**Inputs:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `icp_attributes` | ✅ | Key ICP characteristics |\n| `deal_data` | ❌ | Win/loss data for weighting |\n| `scoring_type` | ❌ | lead, account, opportunity |\n\n**Output:** Weighted scorecard with tiers, thresholds, and implementation guidance.\n\n### 3. ICP Gap Analysis (`icp_gap_analysis`)\n\nCompare current customers to ideal profile.\n\n**Inputs:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `current_customers` | ✅ | Current customer characteristics |\n| `ideal_icp` | ✅ | Target ICP definition |\n| `key_metrics` | ❌ | Metrics to compare (ACV, retention, etc.) |\n\n**Output:** Gap matrix, metric comparison, recommendations for ICP refinement.\n\n### 4. ICP Evolution Tracker (`icp_evolution_tracker`)\n\nMonitor ICP changes over time.\n\n**Inputs:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `historical_data` | ✅ | Past customer/deal data |\n| `time_period` | ❌ | Analysis timeframe |\n| `win_loss_patterns` | ❌ | Recent win/loss trends |\n\n**Output:** ICP drift analysis, emerging segments, recommended adjustments.\n\n### 5. ICP Interview Synthesizer (`icp_interview_synthesizer`)\n\nExtract patterns from customer interviews.\n\n**Inputs:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `interview_notes` | ✅ | Interview transcripts or notes |\n| `interview_type` | ❌ | discovery, win, loss, churn |\n| `focus_areas` | ❌ | Specific areas to analyze |\n\n**Output:** Pattern themes, quotes, ICP refinement recommendations.\n\n### 6. Buyer Group Analyzer (`buyer_group_analyzer`)\n\nMap buying committee decision dynamics.\n\n**Inputs:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `product` | ✅ | Your product/service |\n| `target_company_size` | ✅ | SMB, mid-market, enterprise |\n| `deal_complexity` | ❌ | simple, moderate, complex |\n\n**Output:** Committee map (champion, economic, technical, user, blocker) with engagement strategies.\n\n### 7. TAM SAM SOM Calculator (`tam_sam_som_calculator`)\n\nBottom-up market sizing with deal targets.\n\n**Inputs:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `product` | ✅ | Your product/service |\n| `target_segments` | ✅ | Market segments |\n| `pricing` | ✅ | Price point or ACV |\n| `geographic_focus` | ❌ | Target geography |\n| `data_sources` | ❌ | Available market data |\n\n**Output:** TAM/SAM/SOM with methodology, assumptions, and quarterly deal targets.\n\n### 8. Lookalike Signal Generator (`lookalike_signal_generator`)\n\nGenerate platform-specific targeting criteria.\n\n**Inputs:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `icp_profile` | ✅ | ICP characteristics |\n| `platforms` | ✅ | linkedin, google_ads, 6sense, zoominfo, etc. |\n| `budget_tier` | ❌ | low, medium, high |\n\n**Output:** Platform-specific targeting fields, audience sizes, recommended exclusions.\n\n### 9. Account Prioritization (`account_prioritization`)\n\nMulti-dimensional account ranking.\n\n**Inputs:**\n| Parameter | Required | Description |\n|-----------|----------|-------------|\n| `accounts` | ✅ | List of accounts to prioritize |\n| `icp_criteria` | ✅ | Scoring criteria |\n| `intent_signals` | ❌ | Available intent data |\n| `relationship_data` | ❌ | Existing relationships |\n\n**Output:** Tiered account list (Tier 1/2/3) with scoring rationale and engagement recommendations.\n\n---\n\n## 🔗 Related MCPs\n\n| MCP | Focus | Tools | Link |\n|-----|-------|-------|------|\n| CRAFT GTM | GTM strategy | 8 | [GitHub](https://github.com/shashwatgtm/craft-gtm-mcp) |\n| CRAFT Content | Content creation | 8 | [GitHub](https://github.com/shashwatgtm/craft-content-mcp) |\n| IMPACT | B2B positioning | 8 | [GitHub](https://github.com/shashwatgtm/impact-mcp) |\n| Revenue Enablement | Sales execution | 12 | [GitHub](https://github.com/shashwatgtm/revenue-enablement-mcp) |\n\n---\n\n## 📚 ICP Intelligence Philosophy\n\nThis MCP is built on the principle that **ICP is dynamic, not static**. The best B2B companies continuously refine their ICP based on:\n\n- Win/loss patterns\n- Customer success metrics\n- Market evolution\n- Product capabilities\n\n**Key Principles:**\n- Data-driven: Ground ICP in actual customer data\n- Multi-dimensional: Beyond firmographics to behavior\n- Actionable: Translate ICP to targeting criteria\n- Iterative: Regular refinement cycles\n\n---\n\n## 👨‍💻 Author\n\n**Shashwat Ghosh** - Founder, Helix GTM Consulting\n\n[![LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue)](https://linkedin.com/in/shashwatghosh)\n[![Twitter](https://img.shields.io/badge/Twitter-Follow-1DA1F2)](https://twitter.com/Shashwat_Ghosh)\n[![Website](https://img.shields.io/badge/Website-gtmhelix.com-green)](https://gtmhelix.com)\n\n---\n\n## 📄 License\n\nMIT License - see [LICENSE](LICENSE) for details.\n\n---\n\n*Part of the GTM Helix MCP Suite - AI-powered B2B go-to-market tools*\n",
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