Is Icp Intelligence free?

Yes, Icp Intelligence is free to use.

How do I install Icp Intelligence?

Icp Intelligence supports both local and remote installation. For local use, install it via npm (npx) and add the configuration to your AI app. For remote access, add the server URL to your MCP configuration.

Is Icp Intelligence safe to use?

Icp Intelligence was flagged by MCP Marketplace's security scan, scoring 4.8/10 (high risk). It has 2 high or critical findings to review. Review the security report on this page carefully before installing it.

What AI apps work with Icp Intelligence?

Icp Intelligence uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Icp Intelligence MCP Server

by Shashwatgtm

Developer ToolsUse Caution4.8MCP RegistryLocalRemote

Free

Server data from the Official MCP Registry

ICP Intelligence: 9 ideal customer profile tools by Helix GTM Consulting

About

ICP Intelligence: 9 ideal customer profile tools by Helix GTM Consulting

Remote endpoints: streamable-http: https://icp-intelligence.gtmhelix.com/mcp

Security Report

4.8

Use Caution4.8High Risk

The ICP Intelligence MCP server is a text-generation tool for go-to-market analysis with no evident malicious behavior, exfiltration, or shell execution in the visible code. The visible portion shows only string formatting and analysis helpers, and the declared network_http permission matches the hosted Streamable HTTP mode and the category norm. Code is large and partially truncated, so the review is limited to the visible excerpts and the auth model (no sign-in for the hosted endpoint) should be confirmed. Supply chain analysis found 4 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.

3 files analyzed · 8 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

ICP Intelligence MCP v1.2.26

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 (1.2.26). 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 26 October 2026 against tools/list of icp-intelligence-mcp 1.2.26 (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	Helps you decide which customers to go after next. You give your best customers, as a list (industry, size, contract value, sales cycle, tech stack, buying trigger, champion title) or in your own words. You get the patterns they share, with ties named as ties, the budget shown as the contract value range seen in your customers, recommendations, and sector notes when your inputs name a supported sector. It works only from what you give and looks nothing up.
2	`icp_scoring_model`	ICP Scoring Model	Helps you decide which leads are worth a seller's time. You give the criteria that matter, how important each one is and, if you know it, what goes with success. You get a lead scoring template: example point weights set by importance level, example points for each value you list, a scorecard and tier bands to adjust, with sector notes when your inputs name a supported sector. Your success pattern is matched to your criteria; it does not set the weights.
3	`buyer_group_analyzer`	Buyer Group Analyzer	Helps you decide who else must agree before a deal can close. You give what you sell, the deal size, the company size, your champion and any stakeholders you know. You get a buying group map with your stakeholders placed by their titles (economic buyer, technical evaluator, reviewers, users), each role's concern and message prompts, an influence map and discovery questions, with sector roles and questions when your inputs name a supported sector. Roles from titles are hypotheses to confirm.
4	`tam_sam_som_calculator`	TAM SAM SOM Calculator	Helps you decide how big your market is, counted bottom up. You give how many companies could buy and your annual contract value in dollars, plus your ICP match rate and year 1 share if you have them. You get TAM, SAM and SOM with the arithmetic and assumptions shown and a summary for an investor deck. It is a calculator, not a data source: a rate you leave out is filled with a labelled example, and sector notes are added when your inputs name a supported sector.
5	`lookalike_signal_generator`	Lookalike Signal Generator	Helps you decide how to find more accounts like your best ones. You give your ICP's company profile, technologies, champion titles and buying triggers, and optionally what you sell and the platforms you use. You get targeting criteria and search queries for each platform, one signal for each trigger, and search keywords from what you sell and the sector. It writes criteria, not data: it finds no companies or contacts.
6	`account_prioritization`	Account Prioritization	Helps you decide which accounts to work first. You give your accounts with fit, intent and relationship scores from 0 to 100 and a timing, plus optional weights. You get a ranked list from a weighted score, with a tier for each account, the points its timing earned and the factor that added the most points.
7	`icp_gap_analysis`	ICP Gap Analysis	Helps you decide whether you are selling to the customers you meant to. You give your current customer base, your ideal customer profile and, if you have them, current and target metrics. You get what the ideal profile has that the current base lacks, metric gaps from your own figures, causes to check and actions that fit your business model, with sector notes when your inputs name a supported sector.
8	`icp_evolution_tracker`	ICP Evolution Tracker	Helps you decide whether your ICP should change after recent wins and losses. You give your current ICP, recent wins, recent losses and market changes. You get a candidate change for each (an addition to test, a disqualifier to test, an implication to check), a draft of the updated ICP, the roles your ICP does not name, the loss reasons to tag and what to pull from your CRM. It does not compute win rates; check each candidate against your CRM.
9	`icp_interview_synthesizer`	ICP Interview Synthesizer	Helps you decide what your customer interviews mean for your ICP. You give structured notes, one per interview: the customer, the role, pain points, buying triggers, value realized and key quotes. You get the pain points, objections, buying triggers, value realized and champion roles across the interviews, quotes kept word for word, discovery questions and sector notes. It does not take full transcripts; give only the points and quotes you want analyzed.

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: one object per interview with the customer (company or segment), the role of the person interviewed and the points and quotes to analyze
`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. Inputs and answers are not stored: no database, no files, no cache, no logging of inputs or outputs by our code. Each call adds one anonymous usage record (date and time, site and tool name, app kind, web form or assistant); see the privacy page.
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: shashwat@gtmhelix.com

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