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About io.github.shashwatgtm/icp-intelligence-mcp

io.github.shashwatgtm/icp-intelligence-mcp is an MCP server in the Files category: deep ICP Analysis with Pattern Detection - 9 B2B targeting tools.

Install

Claude Code

claude mcp add io-github-shashwatgtm-icp-intelligence-mcp -- npx -y @shashwatgtmalpha/icp-intelligence-mcp

npx

npx -y @shashwatgtmalpha/icp-intelligence-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (9)

account_prioritizationMulti-dimensional ranking

Parameters not published.

buyer_group_analyzerDecision dynamics mapping

Parameters not published.

icp_deep_divePattern detection from customer data

Parameters not published.

icp_evolution_trackerDynamic ICP monitoring

Parameters not published.

icp_gap_analysisCurrent vs ideal customer comparison

Parameters not published.

icp_interview_synthesizerExtract patterns from interviews

Parameters not published.

icp_scoring_modelAuto-weighted qualification scorecards

Parameters not published.

lookalike_signal_generatorPlatform-specific targeting

Parameters not published.

tam_sam_som_calculatorBottom-up market sizing

Parameters not published.

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README

ICP Intelligence MCP v1.0.0

Q: How do I install io.github.shashwatgtm/icp-intelligence-mcp?

Run claude mcp add io-github-shashwatgtm-icp-intelligence-mcp -- npx -y @shashwatgtmalpha/icp-intelligence-mcp, then add the server to your MCP client's configuration.

Deep ICP Analysis with Pattern Detection - 9 tools for ideal customer profiling, market sizing, buyer mapping, and account prioritization.

🚀 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"]
    }
  }
}

🛠️ 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

Read full README

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About io.github.shashwatgtm/icp-intelligence-mcp

Install

Tools (9)

Ask AI

Security checks

README

ICP Intelligence MCP v1.0.0

🚀 Quick Start

Claude Desktop Configuration

🛠️ Tools Overview

👤 Who Is This For?

Primary Users

Job-to-Tool Mapping

Recommended Agent Skills

📖 Tool Details

1. ICP Deep Dive (icp_deep_dive)

2. ICP Scoring Model (icp_scoring_model)

3. ICP Gap Analysis (icp_gap_analysis)

4. ICP Evolution Tracker (icp_evolution_tracker)

5. ICP Interview Synthesizer (icp_interview_synthesizer)

6. Buyer Group Analyzer (buyer_group_analyzer)

7. TAM SAM SOM Calculator (tam_sam_som_calculator)

8. Lookalike Signal Generator (lookalike_signal_generator)

9. Account Prioritization (account_prioritization)

🔗 Related MCPs

📚 ICP Intelligence Philosophy

👨‍💻 Author

📄 License

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About io.github.shashwatgtm/icp-intelligence-mcp

1. ICP Deep Dive (`icp_deep_dive`)

2. ICP Scoring Model (`icp_scoring_model`)

3. ICP Gap Analysis (`icp_gap_analysis`)

4. ICP Evolution Tracker (`icp_evolution_tracker`)

5. ICP Interview Synthesizer (`icp_interview_synthesizer`)

6. Buyer Group Analyzer (`buyer_group_analyzer`)

7. TAM SAM SOM Calculator (`tam_sam_som_calculator`)

8. Lookalike Signal Generator (`lookalike_signal_generator`)

9. Account Prioritization (`account_prioritization`)