Mcp Gtm Tech Stack Signal Scraper

com.mambabuilt由 mambabuilt.com 發布v1.5.1更新於 Nov 7, 2026

Detects a company CRM, sequencer, and marketing automation from its public website. Clay-ready.

發布方自己的服務:Tech.eu Funding Explorer

概覽

AI 產生的概覽

透過公司公開網站偵測其使用的 GTM 工具(CRM、外呼序列、行銷自動化),並回傳一列扁平 JSON 結果。

可以做什麼
  • 依裸網域、網域清單或完整網站 URL 偵測公司的 GTM 技術堆疊
  • 回傳 HubSpot、Salesforce、Apollo、Gong、Intercom、Marketo 的逐項布林標記,以及 CRM、外呼序列與行銷自動化分類
  • 輸出綜合技術堆疊訊號與 GTM 工具數量,形成可直接用於 Clay 的扁平 JSON 列
  • 可只篩選指定工具(例如 hubspot 或 salesforce),用來回答「這家公司是否在用 X」
  • 可選擇額外抓取最多兩個頁面(定價、產品),並可略過 7 天快取強制重新偵測
適用情境
適合業務、行銷與 GTM 研究情境:在接觸前讓助理確認潛在客戶使用哪套 CRM 或行銷自動化工具,或為一批公司網域補上技術堆疊訊號。
執行需求
透過 npx 在本機執行,需要 Node.js 18 或更新版本。需要 Apify 帳號及 Apify API 權杖,透過環境變數 APIFY_TOKEN 提供。偵測在 Apify 上執行,需要網路連線。
安裝前請注意
每次呼叫都會消耗計入你自己 Apify 帳號的額度(依資料集項目與 Actor 啟動計費);可用 max_charge_usd 限制單次呼叫的花費。需要提供 APIFY_TOKEN 密鑰,應妥善保管。送出的公司網域會傳送至 Apify 處理。除非設定 skipCache,結果可能被快取 7 天。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Mcp Gtm Tech Stack Signal Scraper,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。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Tech Stack Signal Detector MCP Server

[Glama score] [MCP Registry] [npm version] [npm downloads] [license] [mcpservers.org]

[Gtm Tech Stack Signal Scraper MCP server]

An MCP server that detects which go-to-market tools a company runs, straight from its public website. It wraps the Mamba Labs Tech Stack Signal Detector actor on Apify and returns a Clay-ready flat JSON row to any MCP client.

What's Inside

What it does

Give it a company domain and it inspects the public-facing scripts and pages to detect the CRM, sequencer, and marketing automation tools in use. You get back per-tool boolean flags (HubSpot, Salesforce, Apollo, Gong, Intercom, Marketo), counts, and a composite tech stack signal, ready to drop into Clay, a CRM, or an AI agent workflow. All of the detection runs on Apify. This package is a thin client that calls the actor and hands back the result.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config:

json
{  "mcpServers": {    "mamba-gtm-tech-stack": {      "command": "npx",      "args": ["-y", "@mambalabsdev/mcp-gtm-tech-stack-signal-scraper"],      "env": {        "APIFY_TOKEN": "your-apify-token"      }    }  }}

Get your token at https://console.apify.com/account/integrations, paste it in, and restart Claude Desktop. The detect_gtm_tech_stack tool will be available.

Prerequisites

  • Node.js 18 or newer
  • An Apify account with an API token

Example prompts

  • "What GTM tools does stripe.com run? Check their tech stack."
  • "Does openai.com use HubSpot or Salesforce? Detect their CRM."
  • "Pull the marketing automation and sequencer signals for figma.com."
  • "Detect the GTM tech stack for datadoghq.com and list every tool found."

Inputs

Every input the tool accepts, generated from the server's own tool list.

InputTypeRequiredDescription
domainstringnoBare company domain without https:// and without a trailing slash. Example: stripe.com. Supply this, company_domain or url.
company_domainstringnoDeprecated alias for domain, accepted by the actor for older callers. Prefer domain.
urlstringnoDeprecated alias for domain, accepted by the actor as a full company website URL. Prefer domain.
domainsarray of stringnoA list of bare company domains to check in one run, one row per domain. The actor processes them in batches inside a single run, so a list costs one run start instead of one per domain. Use this or domain.
crawl_additional_pagesbooleannoIf true, crawls up to 2 additional pages per domain (pricing, product) to improve detection coverage. Slightly increases run time. Defaults to true when omitted.
technologiesarray of hubspot, salesforce, marketo, pardot, intercom, drift, apollo, outreach, gong, zoominfonoReport only these tools instead of every detectable one, which is how you answer "is this company using X". Only the ten tools with a client side fingerprint are selectable; Clay, Salesloft, Instantly and Lemlist leave no trace on a website and cannot be detected from one. Detection is unchanged either way, so a filtered call costs the same and reuses the same cache. Omit for every tool.
skipCachebooleannoBy default a clean detection is cached for 7 days and reused on repeat lookups, skipping the browser launch. Set true to force a fresh detection and ignore any cached result.
max_charge_usdnumbernoOptional spending cap for this call, in USD. The actor stops before any charge that would take the run past this amount and keeps every row already charged.

Output

The tool returns the actor's flat JSON row for the scanned company. Fields include the detected CRM, sequencer, and marketing automation tools, a GTM tool count, a composite tech stack signal, and per-tool boolean flags such as uses_hubspot, uses_salesforce, uses_apollo, uses_gong, uses_intercom, and uses_marketo. See the Apify Store page for the full output schema.

Example output

json
{  "company_domain": "hubspot.com",  "crm_detected": "hubspot",  "seq_tool_detected": null,  "uses_hubspot": true,  "uses_salesforce": false,  "uses_apollo": false,  "uses_gong": false,  "uses_intercom": true,  "uses_marketo": false,  "marketing_automation_detected": "hubspot",  "gtm_tool_count": 2,  "tech_stack_signal": "high"}

Features

  • Per-tool boolean flags: HubSpot, Salesforce, Apollo, Gong, Intercom, Marketo
  • CRM and sequencer classification, plus marketing automation detection
  • Composite tech_stack_signal and gtm_tool_count
  • Flat JSON, every field present in every row

Pricing

You pay per event on Apify, billed to your own Apify account. Prices from the live pricing record, read 2026-10-16:

EventPrice per event (USD)Fires when
apify-default-dataset-item$0.015 on the Free plan, down to $0.0128 on higher Apify plansSingle result in the default dataset.
apify-actor-start$0.00005Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).

The actor's Apify page carries the current prices. Running this server consumes Apify credits.

How each call runs

Each call starts the actor run, polls it until it finishes, then reads the dataset. The run is allowed 1,800 seconds. If the run is still going when this call stops waiting, the call returns the run id and a console link instead of a timeout, so the result is never lost.

Full actor documentation

This server is a thin client and holds no detection logic. For the complete input and output reference, pricing, and run history, see the Apify Store page:

https://apify.com/mambalabs/gtm-tech-stack-signal-scraper


Mamba Labs GTM Suite

This server is one of 103 Mamba Labs MCP servers, each backed by a dedicated Apify actor and published under @mambalabsdev on npm. The ones closest to this server:

ActorImmutable Actor ID
GTM Hiring Signal ScraperD7O1SA2EqwHGsGr1P
Tech Stack Signal Detectorqyd7nNyqFPelQViBx
GTM Signals AggregatorxKdRfnfFNkdMpFuNs
Job Board Keyword Signal Scanner4DvqpvhMR74NLcDDY
Domain to LinkedIn URL Resolver3HtnSaqPHOg1Qg5gx
ICP Fit ScorerW161DT8W4kW55dMFh
Domain Deliverability Checker0tVgxI7A6o9jMlxmc
Company Firmographic EnricherYlUtLWjfPpqykmB8g
Company Social Presence Mapper4k6CCemkgBDz18m2h
Company Identity Resolverlr8fTRAmZCBZmuwwh
Company Change Event FeedoX44rS0fkEJ3rXLWe
Funding and Press Signal ScannerFS13X6dhQVgX3XOM6

To get twenty one of them in one install, use @mambalabsdev/mcp-gtm-suite.

Built by Mamba Labs | npm | Apify Store

License

MIT

Built by Mamba Labs. https://apify.com/mambalabs

來源:README.md,提交 dc0ed91

工具

1

detect_gtm_tech_stack

Detect GTM Tech Stack

Detect which GTM tools a company uses from its public-facing website. Returns CRM, sequencer, and marketing automation signals as a flat, Clay-ready JSON row, with per-tool boolean flags for HubSpot, Salesforce, Apollo, Gong, Intercom, and Marketo, plus a composite tech stack signal. Pass technologies to narrow the answer to named tools. Reads public data and writes nothing; requires an APIFY_TOKEN and consumes Apify credits per call.

輸入參數urldomaindomainsskipCachetechnologiescompany_domainmax_charge_usdcrawl_additional_pages

版本歷史

5
  1. v1.5.1最新Nov 5, 2026
  2. v1.5.0Oct 16, 2026
  3. v1.4.1Oct 6, 2026
  4. v1.4.0Oct 6, 2026
  5. v1.3.0Sep 16, 2026

評分

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