Mcp Gtm Tech Stack Signal Scraper

com.mambabuilt由 mambabuilt.com 发布v1.5.1更新于 Nov 7, 2026

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

发布方自己的服务:Tech.eu Funding Explorer

概览

AI 生成的概览

通过公司公开网站检测其使用的 GTM 工具(CRM、外呼序列、营销自动化),并返回一行扁平 JSON 结果。

可以做什么
  • 根据裸域名、域名列表或完整网站 URL 检测公司的 GTM 技术栈
  • 返回 HubSpot、Salesforce、Apollo、Gong、Intercom、Marketo 的逐项布尔标记,以及 CRM、外呼序列与营销自动化分类
  • 输出综合技术栈信号与 GTM 工具数量,形成可直接用于 Clay 的扁平 JSON 行
  • 可只筛选指定工具(如 hubspot 或 salesforce),用于回答“这家公司是否在用 X”
  • 可选额外抓取最多两个页面(定价、产品),并可跳过 7 天缓存强制重新检测
适用场景
适合销售、市场与 GTM 调研场景:在触达前让助手确认潜在客户使用哪款 CRM 或营销自动化工具,或为一批公司域名补充技术栈信号。
运行要求
通过 npx 在本地运行,需要 Node.js 18 或更高版本。需要 Apify 账号及 Apify API 令牌,通过环境变量 APIFY_TOKEN 提供。检测在 Apify 上执行,需要网络访问。
安装前请注意
每次调用都会消耗计入你自己 Apify 账号的额度(按数据集条目和 Actor 启动计费);可用 max_charge_usd 限制单次调用花费。需要提供 APIFY_TOKEN 密钥,应妥善保管。提交的公司域名会发送至 Apify 处理。除非设置 skipCache,结果可能被缓存 7 天。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mcp Gtm Tech Stack Signal Scraper,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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

来源: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.

输入参数urldomaindomainsskipCachetechnologiescompany_domainmax_charge_usdcrawl_additional_pages

版本历史

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

评分

已满足适用检查项的 90%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通25 分
  • 已声明认证方式10 分

    请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。

  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

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