
Wraps the Mamba Labs GTM Signals Aggregator actor on Apify to give you a single composite GTM score per company domain. Pulls hiring signals (open GTM roles, counts) and tech stack detection (CRM, sales tools) in one call, then returns a flat JSON row with a composite score, signal strength, and recommended action. Optionally includes a plain-English summary. You need an Apify API token. The analysis runs entirely on Apify; this is a thin client that invokes the actor and hands back the result. Designed for Clay imports, CRM enrichment, or AI agent workflows where you want one number that combines multiple lead signals without chaining separate scraping tools.
An MCP server that rolls a company's go-to-market signals into one composite score. It wraps the Mamba Labs GTM Signals Aggregator actor on Apify and returns a Clay-ready flat JSON row to any MCP client.
Give it a company domain and it runs hiring-signal and tech-stack detection together, then returns a single composite GTM score, a recommended action, and an optional plain-English summary. One call, one row, ready to drop into Clay, a CRM, or an AI agent workflow. All of the analysis runs on Apify. This package is a thin client that calls the actor and hands back the result.
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-signals": {
"command": "npx",
"args": ["-y", "@mambalabsdev/mcp-gtm-signals-aggregator"],
"env": {
"APIFY_TOKEN": "your-apify-token"
}
}
}
}
Get your token at https://console.apify.com/account/integrations, paste it in, and restart Claude Desktop. The aggregate_gtm_signals tool will be available.
Every input the tool accepts, generated from the server's own tool list.
| Input | Type | Required | Description |
|---|---|---|---|
company_domain | string | yes | Bare company domain without https:// and without a trailing slash. Example: stripe.com |
sources | array of hiring, tech_stack, funding, events, workplace | no | Which signals to aggregate. Default ["hiring", "tech_stack"], which is what this actor has always run. Each extra source is one more sub actor run on the caller's own Apify account, so this is the cost dial as well as the depth dial. The composite score is normalized over the sources you selected, so a funding only run is scored on its own scale rather than capped by absent sources. |
include_summary | boolean | no | Include a plain-English gtm_signal_summary field in the output. Defaults to the actor's default when omitted. |
explain_mode | boolean | no | If true, gtm_signal_summary becomes a longer, more detailed explanation instead of a 1 to 2 sentence summary. |
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. |
The tool returns the actor's flat JSON row for the scanned company, including the composite GTM score, a recommended action, the underlying hiring and tech-stack signals, and an optional summary. See the Apify Store page for the full output schema.
{
"company_domain": "notion.so",
"composite_signal": "strong",
"composite_score": 82,
"recommended_action": "prioritize",
"gtm_hiring_signal": true,
"signal_strength": "high",
"gtm_role_count": 9,
"crm_detected": "salesforce",
"tech_stack_signal": "high",
"gtm_tool_count": 5,
"run_date": "2026-05-28"
}
sources (hiring, tech stack, funding, events, workplace).sources is both the depth dial and the cost dial.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 | $0.055 on the Free plan, down to $0.0385 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.
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.
This server is a thin client and holds no analysis logic. For the complete input and output reference, pricing, and run history, see the Apify Store page:
https://apify.com/mambalabs/b2b-buying-signals-hiring-tech-stack-intent-for-clay
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
MIT
Built by Mamba Labs. https://apify.com/mambalabs
APIFY_TOKEN*secretApify API token from https://console.apify.com/account/integrations