ICP Intelligence MCP v1.2.25

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

Use it hosted (no install)

Add https://icp-intelligence.gtmhelix.com/mcp to Claude or ChatGPT as a custom connector. It needs no sign-in and always runs the newest version (1.2.25). The same tools run as a free web app with a form per tool at https://icp-intelligence.gtmhelix.com/, and the setup steps are at https://icp-intelligence.gtmhelix.com/connect/.

The npm package below is an older version (1.0.0 on npm on 27 September 2026) until the next npm release. Use it only if you need a local stdio server.

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 and inputs

Generated on 27 September 2026 from the server's own tool list, and checked again on 17 October 2026 against tools/list of icp-intelligence-mcp 1.2.25 (the same code as the hosted MCP address), so every tool name, title, description and input below is exactly what the server accepts. Every tool is read-only.

| # | Tool | Title | What it does | |---|---|---|---| | 1 | icp_deep_dive | ICP Deep Dive | Analyze customer data to detect ICP patterns: firmographics, technographics, buying behavior | | 2 | icp_scoring_model | ICP Scoring Model | Create a lead qualification scoring template: criteria with example point weights set by importance level, a scorecard and tier bands to adjust. Your success patterns are shown for reference; they do not set the weights | | 3 | buyer_group_analyzer | Buyer Group Analyzer | Map buyer group dynamics, influence relationships, and decision-making process | | 4 | tam_sam_som_calculator | TAM SAM SOM Calculator | Calculate TAM/SAM/SOM using bottom-up methodology from your data (calculation framework, not data source) | | 5 | lookalike_signal_generator | Lookalike Signal Generator | Generate platform-specific targeting criteria and search queries (generates criteria, not data) | | 6 | account_prioritization | Account Prioritization | Rank and prioritize accounts using multi-dimensional scoring | | 7 | icp_gap_analysis | ICP Gap Analysis | Analyze gaps between current customer base and ideal ICP | | 8 | icp_evolution_tracker | ICP Evolution Tracker | Checklist for reviewing how your ICP should evolve: shows your recent wins, losses and market changes next to what to check. It does not analyze the text | | 9 | icp_interview_synthesizer | ICP Interview Synthesizer | Extract ICP patterns from customer interview notes. Pasted notes are shown back with a template to structure them; only structured notes are analysed. |

Inputs of each tool

1. ICP Deep Dive (icp_deep_dive)

| Input | Required | Type | Description | |---|---|---|---| | customers | No | array of object | List of customer objects with available attributes | | customer_descriptions | No | string | Alternative: Describe your best customers in text format | | product_category | No | string | What type of product you sell | | company | No | string | Optional: your company or product name, so the answer can name it | | business_model | No | string | Optional: how you charge (software subscription, services, connectivity, per transaction, marketplace, hardware plus software, or investment management). Read from your other inputs when left out (allowed: saas, services, connectivity, transactions, marketplace, hardware_software, investment) |

2. ICP Scoring Model (icp_scoring_model)

| Input | Required | Type | Description | |---|---|---|---| | scoring_criteria | No | array of object | Criteria for scoring with importance levels | | success_correlation | No | string | What correlates with success? (e.g., "deals with VP Sales champion close 2x faster") | | product_category | No | string | What type of product you sell | | company | No | string | Optional: your company or product name, so the answer can name it |

3. Buyer Group Analyzer (buyer_group_analyzer)

| Input | Required | Type | Description | |---|---|---|---| | product_category | Yes | string | What you sell | | deal_size | No | string | ACV range (e.g., "$50K-100K") | | target_company_size | No | string | Company size (e.g., "500-1000 employees") | | known_stakeholders | No | array of string | Roles you know are involved | | typical_champion | No | string | Your typical champion role | | company | No | string | Optional: your company or product name, so the answer can name it | | business_model | No | string | Optional: how you charge (software subscription, services, connectivity, per transaction, marketplace, hardware plus software, or investment management). Read from your other inputs when left out (allowed: saas, services, connectivity, transactions, marketplace, hardware_software, investment) |

4. TAM SAM SOM Calculator (tam_sam_som_calculator)

| Input | Required | Type | Description | |---|---|---|---| | total_potential_companies | Yes | number (0 or more) | Estimated total companies that could buy (from LinkedIn, industry reports) | | average_contract_value | Yes | number (more than 0) | Your average ACV in dollars | | icp_percentage | No | number (0 or more) | Percentage of those companies that match your ICP, from 0 to 100. Left out, 30 is used and marked as an example | | year1_market_share_target | No | number (0 or more) | Realistic Year 1 market share percentage, from 0 to 100 (typically 1-5%). Left out, 3 is used and marked as an example | | data_sources | No | string | Where you got your numbers (for documentation) | | segment_name | No | string | Name of the market segment | | product_category | No | string | Optional: what you sell (for example "spend management software"), used for sector notes. The arithmetic does not use it | | company | No | string | Optional: your company or product name, so the answer can name it |

5. Lookalike Signal Generator (lookalike_signal_generator)

| Input | Required | Type | Description | |---|---|---|---| | champion_titles | Yes | array of string | Job titles of your champions | | icp_firmographics | No | object | Firmographic criteria | | icp_technographics | No | array of string | Technologies your ICP typically uses | | buying_triggers | No | array of string | Events that trigger buying | | platforms | No | array of string | Optional: the sections to include (linkedin, google_ads, 6sense, zoominfo). Left out, every section is included | | product_category | No | string | Optional: what you sell (for example "spend management software"), used for search keywords and sector notes | | company | No | string | Optional: your company or product name, so the answer can name it |

6. Account Prioritization (account_prioritization)

| Input | Required | Type | Description | |---|---|---|---| | accounts | No | array of object | List of accounts to prioritize. Each account: name, fit_score (0 to 100), intent_signals (0 to 100), relationship (0 to 100), timing (now, soon, later or unknown) | | prioritization_weights | No | object | Optional custom weights in percent for fit, intent, relationship and timing. A missing weight uses its default (40, 30, 15, 15); the tool does not check that the weights sum to 100 | | product_category | No | string | Optional: what you sell (for example "spend management software"), used for sector notes. The arithmetic does not use it | | company | No | string | Optional: your company or product name, so the answer can name it |

7. ICP Gap Analysis (icp_gap_analysis)

| Input | Required | Type | Description | |---|---|---|---| | current_customers | Yes | string | Description of your current customer base | | ideal_icp | Yes | string | Description of your ideal customer profile | | current_metrics | No | object | Current performance metrics | | target_metrics | No | object | Target performance metrics | | product_category | No | string | Optional: what you sell, used for sector notes | | company | No | string | Optional: your company or product name, so the answer can name it | | business_model | No | string | Optional: how you charge (software subscription, services, connectivity, per transaction, marketplace, hardware plus software, or investment management). Read from your other inputs when left out (allowed: saas, services, connectivity, transactions, marketplace, hardware_software, investment) |

8. ICP Evolution Tracker (icp_evolution_tracker)

| Input | Required | Type | Description | |---|---|---|---| | current_icp | Yes | string | Your current ICP definition | | recent_wins | No | string | Description of recent successful customers | | recent_losses | No | string | Description of recent lost deals | | market_changes | No | string | Recent market or competitive changes | | time_period | No | string | Time period you are reviewing, in your own words (for example "last quarter") | | product_category | No | string | Optional: what you sell, used for sector notes | | company | No | string | Optional: your company or product name, so the answer can name it |

9. ICP Interview Synthesizer (icp_interview_synthesizer)

| Input | Required | Type | Description | |---|---|---|---| | interview_notes | No | array of object | Structured interview notes | | raw_transcripts | No | string | Alternative: paste interview notes or transcripts. This tool does not analyze pasted text: it shows up to 500 characters back with a template to structure them as interview_notes, which it does analyze | | analysis_focus | No | string | Accepted but not used yet: every run gives the complete analysis (pain_points, buying_journey, value_props, all) | | product_category | No | string | Optional: what you sell, used for sector notes | | company | No | string | Optional: your company or product name, so the answer can name it |

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 |

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, Co-Founder and Fractional CMO, Helix GTM Consulting, with 24+ years in B2B and 10+ years of fractional experience

License

MIT License: see LICENSE for details.

Part of the Helix GTM Consulting MCP suite: rule-based B2B go-to-market tools (no AI model runs inside them)

Hosted connector (Streamable HTTP)

The same tools are also available as a hosted MCP server, so they work in Claude on the web, desktop and mobile without installing anything.

• Server URL: https://icp-intelligence.gtmhelix.com/mcp
• Transport: Streamable HTTP (stateless, JSON responses). Authentication: none.
• Setup guide: https://icp-intelligence.gtmhelix.com/connect/
• In Claude: Customize, then Connectors, then Add custom connector, and paste the server URL.
• In Claude Code: claude mcp add --transport http icp-intelligence https://icp-intelligence.gtmhelix.com/mcp

The npm package (stdio) and the hosted server run the same createServer() code in src/index.ts.

The tool reference on the docs page (https://icp-intelligence.gtmhelix.com/docs/) is generated from the code. Where it differs from the parameter tables earlier in this README, the docs page is correct.

Privacy Policy

Full policy: https://icp-intelligence.gtmhelix.com/privacy/ (also in PRIVACY.md).

• Data collection: the hosted server receives only the tool name and the inputs of each tool call. The npm package runs on your computer and sends nothing to us.
• Use and storage: inputs are used only to build that call's reply. Nothing is stored: no database, no files, no cache, no logging of inputs or outputs by our code.
• Third-party sharing: none by us. Netlify hosts the server and processes requests under its own policy (https://www.netlify.com/privacy/). Fonts are served from this site, so loading a page contacts no one else.
• Retention: we keep no tool inputs or outputs. Netlify keeps its own platform logs under its policy.
• Contact: [email protected]