mambalabsdev/mcp-gtm-tech-stack-signal-scraper
БесплатноНе проверенDetect CRM, sequencer and marketing automation tools from a company domain as boolean GTM tool signals for Clay enrichment.
Описание
Detect CRM, sequencer and marketing automation tools from a company domain as boolean GTM tool signals for Clay enrichment.
README
Smithery Glama score MCP Registry npm version npm downloads license mcpservers.org
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
- Quick start
- Prerequisites
- Example prompts
- Inputs
- Output
- Example output
- Features
- Pricing
- How each call runs
- Full actor documentation
- Mamba Labs GTM Suite
- License
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:
{
"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.
| Input | Type | Required | Description |
|---|---|---|---|
domain |
string | no | Bare company domain without https:// and without a trailing slash. Example: stripe.com. Supply this, company_domain or url. |
company_domain |
string | no | Deprecated alias for domain, accepted by the actor for older callers. Prefer domain. |
url |
string | no | Deprecated alias for domain, accepted by the actor as a full company website URL. Prefer domain. |
domains |
array of string | no | A 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_pages |
boolean | no | If true, crawls up to 2 additional pages per domain (pricing, product) to improve detection coverage. Slightly increases run time. Defaults to true when omitted. |
technologies |
array of hubspot, salesforce, marketo, pardot, intercom, drift, apollo, outreach, gong, zoominfo |
no | Report 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. |
skipCache |
boolean | no | By 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_usd |
number | no | Optional 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
{
"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:
| Event | Price per event (USD) | Fires when |
|---|---|---|
apify-default-dataset-item |
$0.015 on the Free plan, down to $0.0128 on higher Apify plans | Single result in the default dataset. |
apify-actor-start |
$0.00005 | Charged 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 58 Mamba Labs MCP servers, each backed by a dedicated Apify actor and published under @mambalabsdev on npm. The ones closest to this server:
| Actor | Immutable Actor ID |
|---|---|
| GTM Hiring Signal Scraper | D7O1SA2EqwHGsGr1P |
| Tech Stack Signal Detector | qyd7nNyqFPelQViBx |
| GTM Signals Aggregator | xKdRfnfFNkdMpFuNs |
| Job Board Keyword Signal Scanner | 4DvqpvhMR74NLcDDY |
| Domain to LinkedIn URL Resolver | 3HtnSaqPHOg1Qg5gx |
| ICP Fit Scorer | W161DT8W4kW55dMFh |
| Domain Deliverability Checker | 0tVgxI7A6o9jMlxmc |
| Company Firmographic Enricher | YlUtLWjfPpqykmB8g |
| Company Social Presence Mapper | 4k6CCemkgBDz18m2h |
| Company Identity Resolver | lr8fTRAmZCBZmuwwh |
| Company Change Event Feed | oX44rS0fkEJ3rXLWe |
| Funding and Press Signal Scanner | FS13X6dhQVgX3XOM6 |
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
from github.com/mambalabsdev/mcp-gtm-tech-stack-signal-scraper
Установка mambalabsdev/mcp-gtm-tech-stack-signal-scraper
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/mambalabsdev/mcp-gtm-tech-stack-signal-scraperFAQ
mambalabsdev/mcp-gtm-tech-stack-signal-scraper MCP бесплатный?
Да, mambalabsdev/mcp-gtm-tech-stack-signal-scraper MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для mambalabsdev/mcp-gtm-tech-stack-signal-scraper?
Да, требуются переменные окружения: APIFY_TOKEN. Unyly подставит их в конфиг при установке.
mambalabsdev/mcp-gtm-tech-stack-signal-scraper — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить mambalabsdev/mcp-gtm-tech-stack-signal-scraper в Claude Desktop, Claude Code или Cursor?
Открой mambalabsdev/mcp-gtm-tech-stack-signal-scraper на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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