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shashwatgtm

ICP Intelligence MCP

by shashwatgtm

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.

NPM Version License: MIT MCP Registry

🚀 Quick Start

# Run directly with npx
npx -y @shashwatgtmalpha/icp-intelligence-mcp

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "icp-intelligence-mcp": {
      "command": "npx",
      "args": ["-y", "@shashwatgtmalpha/icp-intelligence-mcp"]
    }
  }
}

Related MCP server: Andru Revenue Intelligence

🛠️ 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

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.


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

LinkedIn Twitter Website


📄 License

MIT License - see LICENSE for details.


Part of the GTM Helix MCP Suite - AI-powered B2B go-to-market tools

A
license - permissive license
-
quality - not tested
D
maintenance

Maintenance

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