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