icp-intelligence-mcp

@shashwatgtm/icp-intelligence-mcp

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0 Stars 7 次浏览 shashwatgtm 更新于 2026-08-23

Deep ICP Analysis with Pattern Detection - 9 B2B targeting tools

交流协作工具

MCP 服务配置

复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用

{
  "mcpServers": {
    "@shashwatgtmalpha/icp-intelligence-mcp": {
      "args": [
        "@shashwatgtmalpha/icp-intelligence-mcp@1.0.0"
      ],
      "command": "npx"
    }
  }
}

可用工具（5 个）

该服务在 MCP 协议中暴露的工具，AI 可按需调用

tavily_search 14 个参数需填 1 项 Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

必填参数：query

tavily_extract 6 个参数需填 1 项 Extract content from URLs. Returns raw page content in markdown or text format.

Extract content from URLs. Returns raw page content in markdown or text format.

必填参数：urls

tavily_crawl 11 个参数需填 1 项 Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

必填参数：url

tavily_map 8 个参数需填 1 项 Map a website's structure. Returns a list of URLs found starting from the base URL.

Map a website's structure. Returns a list of URLs found starting from the base URL.

必填参数：url

tavily_research 2 个参数需填 1 项 Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

必填参数：input

服务介绍

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

#  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

# 👤 Who Is This For?

# # Primary Users

# # Job-to-Tool Mapping

# # Recommended Agent Skills

This MCP is included in these user-focused Agent bundles:

# 📖 Tool Details

# # 1. ICP Deep Dive (`icp_deep_dive`)

Detect patterns from customer data to define ICP attributes.

Output: ICP profile with firmographics, technographics, behavioral signals, and champion characteristics.

# # 2. ICP Scoring Model (`icp_scoring_model`)

Generate auto-weighted qualification scorecards.

Output: Weighted scorecard with tiers, thresholds, and implementation guidance.

# # 3. ICP Gap Analysis (`icp_gap_analysis`)

Compare current customers to ideal profile.

Output: Gap matrix, metric comparison, recommendations for ICP refinement.

# # 4. ICP Evolution Tracker (`icp_evolution_tracker`)

Monitor ICP changes over time.

Output: ICP drift analysis, emerging segments, recommended adjustments.

# # 5. ICP Interview Synthesizer (`icp_interview_synthesizer`)

Extract patterns from customer interviews.

Output: Pattern themes, quotes, ICP refinement recommendations.

# # 6. Buyer Group Analyzer (`buyer_group_analyzer`)

Map buying committee decision dynamics.

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.

Output: TAM/SAM/SOM with methodology, assumptions, and quarterly deal targets.

# # 8. Lookalike Signal Generator (`lookalike_signal_generator`)

Generate platform-specific targeting criteria.

Output: Platform-specific targeting fields, audience sizes, recommended exclusions.

# # 9. Account Prioritization (`account_prioritization`)

Multi-dimensional account ranking.

Output: Tiered account list (Tier 1/2/3) with scoring rationale and engagement recommendations.

# 📚 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

查看源码项目主页

MCP 服务配置

可用工具 （5 个）

服务介绍

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