Icp Intelligence Mcp

io.github.shashwatgtm由 GitHub 帳號 shashwatgtm 發布v1.2.26更新於 Oct 26, 2026

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

已驗證Streamable HTTP可網頁執行資料與分析商業與電商

概覽

AI 產生的概覽

九個唯讀 GTM 工具,讓助理依據你提供的資料建立理想客戶輪廓、估算市場規模、梳理採購決策群並排序帳戶。

可以做什麼
  • 分析客戶資料、彙整訪談紀錄,歸納 ICP 特徵、痛點與購買觸發點
  • 產出潛在客戶評分範本、落差分析與 ICP 演進草稿
  • 以由下而上方式計算 TAM/SAM/SOM
  • 梳理採購決策群角色、影響力與探詢問題
  • 依廣告平台產生相似客戶定向條件與搜尋關鍵字
  • 依契合度、意圖、關係與時機的加權分數排序帳戶
適用情境
適合 B2B 創辦人、產品行銷、需求成長與營收營運團隊,在對話中直接取得 ICP 定義、市場估算、採購委員會與帳戶分層結果。它是計算與框架層,不是資料來源,需依賴你提供的客戶資料與描述。
執行需求
可使用託管的 Streamable HTTP 端點,無需登入;或以 npx 在本機執行 npm 套件,需要 Node.js。未宣告任何環境變數、標頭或 API 金鑰。npm 套件版本比託管服務舊。
安裝前請注意
需貼上客戶名單、客單價、成交與流失紀錄及訪談原話;使用託管服務時這些輸入會傳送到營運方端點,本機套件則不外傳。輸出是範本與草稿,需自行核對,並非經驗證的市場資料。README 指出 npm 套件落後於託管版本。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Icp Intelligence Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.shashwatgtm%2Ficp-intelligence-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "icp-intelligence": {
      "type": "http",
      "url": "https://icp-intelligence.gtmhelix.com/mcp"
    }
  }
}

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.

[NPM Version] [License: MIT] [MCP Registry]

Quick Start

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

Claude Desktop Configuration

Add to your claude_desktop_config.json:

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.

#ToolTitleWhat it does
1icp_deep_diveICP Deep DiveAnalyze customer data to detect ICP patterns: firmographics, technographics, buying behavior
2icp_scoring_modelICP Scoring ModelCreate 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
3buyer_group_analyzerBuyer Group AnalyzerMap buyer group dynamics, influence relationships, and decision-making process
4tam_sam_som_calculatorTAM SAM SOM CalculatorCalculate TAM/SAM/SOM using bottom-up methodology from your data (calculation framework, not data source)
5lookalike_signal_generatorLookalike Signal GeneratorGenerate platform-specific targeting criteria and search queries (generates criteria, not data)
6account_prioritizationAccount PrioritizationRank and prioritize accounts using multi-dimensional scoring
7icp_gap_analysisICP Gap AnalysisAnalyze gaps between current customer base and ideal ICP
8icp_evolution_trackerICP Evolution TrackerChecklist 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
9icp_interview_synthesizerICP Interview SynthesizerExtract ICP patterns from structured customer interview notes (customer, role, pain points, buying triggers, value realized, key quotes). It does not take full transcripts.

Inputs of each tool

1. ICP Deep Dive (icp_deep_dive)
InputRequiredTypeDescription
customersNoarray of objectList of customer objects with available attributes
customer_descriptionsNostringAlternative: Describe your best customers in text format
product_categoryNostringWhat type of product you sell
companyNostringOptional: your company or product name, so the answer can name it
business_modelNostringOptional: 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)
InputRequiredTypeDescription
scoring_criteriaNoarray of objectCriteria for scoring with importance levels
success_correlationNostringWhat correlates with success? (e.g., "deals with VP Sales champion close 2x faster")
product_categoryNostringWhat type of product you sell
companyNostringOptional: your company or product name, so the answer can name it
3. Buyer Group Analyzer (buyer_group_analyzer)
InputRequiredTypeDescription
product_categoryYesstringWhat you sell
deal_sizeNostringACV range (e.g., "$50K-100K")
target_company_sizeNostringCompany size (e.g., "500-1000 employees")
known_stakeholdersNoarray of stringRoles you know are involved
typical_championNostringYour typical champion role
companyNostringOptional: your company or product name, so the answer can name it
business_modelNostringOptional: 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)
InputRequiredTypeDescription
total_potential_companiesYesnumber (0 or more)Estimated total companies that could buy (from LinkedIn, industry reports)
average_contract_valueYesnumber (more than 0)Your average ACV in dollars
icp_percentageNonumber (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_targetNonumber (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_sourcesNostringWhere you got your numbers (for documentation)
segment_nameNostringName of the market segment
product_categoryNostringOptional: what you sell (for example "spend management software"), used for sector notes. The arithmetic does not use it
companyNostringOptional: your company or product name, so the answer can name it
5. Lookalike Signal Generator (lookalike_signal_generator)
InputRequiredTypeDescription
champion_titlesYesarray of stringJob titles of your champions
icp_firmographicsNoobjectFirmographic criteria
icp_technographicsNoarray of stringTechnologies your ICP typically uses
buying_triggersNoarray of stringEvents that trigger buying
platformsNoarray of stringOptional: the sections to include (linkedin, google_ads, 6sense, zoominfo). Left out, every section is included
product_categoryNostringOptional: what you sell (for example "spend management software"), used for search keywords and sector notes
companyNostringOptional: your company or product name, so the answer can name it
6. Account Prioritization (account_prioritization)
InputRequiredTypeDescription
accountsNoarray of objectList 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_weightsNoobjectOptional 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_categoryNostringOptional: what you sell (for example "spend management software"), used for sector notes. The arithmetic does not use it
companyNostringOptional: your company or product name, so the answer can name it
7. ICP Gap Analysis (icp_gap_analysis)
InputRequiredTypeDescription
current_customersYesstringDescription of your current customer base
ideal_icpYesstringDescription of your ideal customer profile
current_metricsNoobjectCurrent performance metrics
target_metricsNoobjectTarget performance metrics
product_categoryNostringOptional: what you sell, used for sector notes
companyNostringOptional: your company or product name, so the answer can name it
business_modelNostringOptional: 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)
InputRequiredTypeDescription
current_icpYesstringYour current ICP definition
recent_winsNostringDescription of recent successful customers
recent_lossesNostringDescription of recent lost deals
market_changesNostringRecent market or competitive changes
time_periodNostringTime period you are reviewing, in your own words (for example "last quarter")
product_categoryNostringOptional: what you sell, used for sector notes
companyNostringOptional: your company or product name, so the answer can name it
9. ICP Interview Synthesizer (icp_interview_synthesizer)
InputRequiredTypeDescription
interview_notesNoarray of objectStructured 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_categoryNostringOptional: what you sell, used for sector notes
companyNostringOptional: your company or product name, so the answer can name it

Who Is This For?

Primary Users

RoleKey ToolsUse Cases
Founders/CEOstam_sam_som_calculator, icp_deep_diveMarket sizing, customer definition
CMOs/VPs Marketingicp_gap_analysis, icp_evolution_trackerICP health monitoring
Product Marketingbuyer_group_analyzer, icp_interview_synthesizerBuying committee, VOC
Demand Genlookalike_signal_generator, account_prioritizationTargeting, ABM
Sales Ops/RevOpsicp_scoring_model, account_prioritizationLead scoring, account tiering
SDRs/BDRsaccount_prioritization, icp_scoring_modelAccount qualification

Job-to-Tool Mapping

Job To Be DoneRecommended 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

MCPFocusToolsLink
CRAFT GTMGTM strategy8GitHub
CRAFT ContentContent creation8GitHub
IMPACTB2B positioning8GitHub
Revenue EnablementSales execution12GitHub

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

[LinkedIn] [X] [Website]


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: [email protected]

來源:README.md,提交 eb9bfeb

工具

9

icp_deep_dive

ICP Deep Dive

Analyze customer data to detect ICP patterns (industry, size, deal size, sales cycle, tech stack, triggers, champion roles). Ties are named as ties, the budget is the ACV range seen in your customers, and sector notes are added when your inputs name one of the supported sectors

輸入參數companycustomersbusiness_modelproduct_categorycustomer_descriptions

icp_scoring_model

ICP Scoring Model

Create a lead qualification scoring template: criteria with example point weights set by importance level, example points for each value you list, a scorecard and tier bands to adjust. Your success pattern is matched to your criteria; it does not set the weights. Sector notes are added when your inputs name one of the supported sectors

輸入參數companyproduct_categoryscoring_criteriasuccess_correlation

buyer_group_analyzer

Buyer Group Analyzer

Map the buyer group for a deal: the champion you name, your known stakeholders placed by their titles (economic buyer, technical evaluator, reviewers, users), each role's concern and message prompts, an influence map and discovery questions. Sector roles and questions are added when your inputs name one of the supported sectors

輸入參數companydeal_sizebusiness_modelproduct_category必填typical_championknown_stakeholderstarget_company_size

tam_sam_som_calculator

TAM SAM SOM Calculator

Calculate TAM/SAM/SOM bottom-up from your company count, ACV, ICP match rate and Year 1 share (calculation framework, not a data source). Sector notes are added when your inputs name one of the supported sectors

輸入參數companydata_sourcessegment_nameicp_percentageproduct_categoryaverage_contract_value必填total_potential_companies必填year1_market_share_target

lookalike_signal_generator

Lookalike Signal Generator

Generate platform-specific targeting criteria and search queries from your firmographics, technographics, champion titles and buying triggers (generates criteria, not data). Each trigger gets its own signal; search keywords come from what you sell and the sector; platforms limits the sections

輸入參數companyplatformsbuying_triggerschampion_titles必填product_categoryicp_firmographicsicp_technographics

account_prioritization

Account Prioritization

Rank and prioritize accounts by a weighted score of fit, intent, relationship and timing; each account shows the points its timing earned and the factor that added the most points

輸入參數companyaccountsproduct_categoryprioritization_weights

icp_gap_analysis

ICP Gap Analysis

Analyze gaps between your current customer base and your ideal ICP: what the ideal profile has that the current base lacks, metric gaps from your current and target figures, causes to check and actions that fit your business model. Sector notes are added when your inputs name one of the supported sectors

輸入參數companyideal_icp必填business_modeltarget_metricscurrent_metricsproduct_categorycurrent_customers必填

icp_evolution_tracker

ICP Evolution Tracker

Review how your ICP should evolve: reads your recent wins, losses and market changes against your current ICP, states a candidate change for each (an addition to test, a disqualifier to test, an implication to check) and writes a draft of the updated ICP, with 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

輸入參數companycurrent_icp必填recent_winstime_periodrecent_lossesmarket_changesproduct_category

icp_interview_synthesizer

ICP Interview Synthesizer

Extract ICP patterns from customer interview notes: pain points, objections, buying triggers, value realized, champion roles and quotes kept word for word, with discovery questions and sector notes. Pasted notes are shown back (shortened) with a template to structure them; only structured notes are analyzed.

輸入參數companyanalysis_focusinterview_notesraw_transcriptsproduct_category

版本歷史

3
  1. v1.2.26最新Oct 26, 2026
  2. v1.2.25Oct 17, 2026
  3. v1.0.0Sep 16, 2026

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