Aggregate a company's go-to-market signals into one composite GTM score and recommended action.
Score a company using a bare domain such as stripe.com.
Choose which signals to aggregate: hiring, tech_stack, funding, events, and/or workplace; defaults to hiring + tech_stack.
Include an optional plain-English gtm_signal_summary.
Set explain_mode for a longer, more detailed summary.
Get a flat, Clay-ready JSON row with composite score, recommended action, and optional summary.
Use a read-only tool that requires APIFY_TOKEN and consumes Apify credits per call.
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.
Related MCP server: mcp-gtm-tech-stack-signal-scraper
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.
Node.js 18 or newer
An Apify account with an API token
"Give me the overall GTM signal score for stripe.com."
"How strong a GTM target is openai.com? Aggregate their signals."
"Score figma.com on hiring and tech stack, and explain why."
"Pull the composite GTM signal for datadoghq.com with a summary."
Every input the tool accepts, generated from the server's own tool list.
Input | Type | Required | Description |
| string | yes | Bare company domain without https:// and without a trailing slash. Example: stripe.com |
| array of | 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. |
| boolean | no | Include a plain-English gtm_signal_summary field in the output. Defaults to the actor's default when omitted. |
| boolean | no | If true, gtm_signal_summary becomes a longer, more detailed explanation instead of a 1 to 2 sentence summary. |
| 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"
}Combines hiring signals and tech stack detection in a single call
Flat row with composite_score, composite_signal, and recommended_action
Optional plain-English gtm_signal_summary
Designed for AI agent consumption
It does one thing: one composite GTM score for one company per call, built from the sources you pick in sources (hiring, tech stack, funding, events, workplace).
Each extra source is one more sub actor run on your own Apify account, so sources is both the depth dial and the cost dial.
It does not return the underlying signals one by one. For those, call the single purpose servers, or install @mambalabsdev/mcp-gtm-suite, which carries this tool and twenty other account-intelligence tools in one server.
It reads public company pages only. It writes nothing anywhere.
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 |
| $0.055 on the Free plan, down to $0.0385 on higher Apify plans | Single result in the default dataset. |
| $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 103 Mamba Labs MCP servers, each backed by a dedicated Apify actor and published under @mambalabsdev on npm. The ones closest to this server:
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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
Aggregate a company's GTM signals into one composite score. Runs hiring-signal and tech-stack detection in a single call and returns a flat, Clay-ready JSON row with a composite GTM score, a recommended action, and an optional plain-English summary. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.
Inputs: company_domain (required), sources, explain_mode, include_summary.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 1 tool
With only one tool in the set, there is no possibility of an agent confusing it with another tool. Its purpose—producing a composite GTM score plus recommended action—is stated unambiguously.
The single name aggregate_gtm_signals follows a clean verb_noun snake_case convention that would scale predictably. Consistency cannot be fully demonstrated across a set of one, so it falls just short of a 5.
A single tool is borderline thin for a server branded as a 'signals aggregator'; the composite design is defensible, but there is no surface for retrieving individual signals, batching companies, or inspecting components.
The one-tool surface covers the headline aggregation use case end-to-end, but it is read-only and monolithic, leaving no way to access raw hiring/tech-stack signals, batch multiple companies, or tune scoring inputs.
Live company enrichment from a domain: firmographics, contacts, tech stack + 8-ATS hiring signal.
Extracts verified emails, social links, 40+ tech stack signals, pricing tiers, and company summary
Company Insights: job postings, tech stack, news events, key customers, similar companies...
Public company research with 9 focused tools: technology, hiring intent, open jobs, job changes, Google Ads and published contacts. Get a qualifying four-signal company profile for $0.03, plus breakout_summary growth estimates. Start with the free labeled example.com sandbox, 10 free successful calls per agent per UTC day (subject to a shared network ceiling), or an eligible 25-call trial. Setup: https://gethirepulse.xyz/?ref=glama-b2b#start-b2b . Reconnect to https://gethirepulse.xyz/mcp for all 27 tools, including batch and footprint research. Growth signals are estimates.
