Mcp Gtm Signals Aggregator

No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.

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.

What it does

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.

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-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.

Prerequisites

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

Example prompts

"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."

Inputs

company_domain (required): the bare company domain, no https:// and no trailing slash. Example: stripe.com
sources (optional): which signals to aggregate: hiring, tech_stack, funding, events, workplace. Default ["hiring", "tech_stack"]. Each extra source is one more sub actor run on your own Apify account. The composite score is normalized over the sources you selected.
include_summary (optional): include a plain-English gtm_signal_summary in the output.
explain_mode (optional): if true, the summary becomes a longer, more detailed explanation.

Output

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.

Example output

{
  "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"
}

Features

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

Full actor documentation

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

Mamba Labs GTM Suite

This server is part of the Mamba Labs GTM Suite, a fleet of twelve specialized MCP servers for go-to-market signal intelligence, each backed by a dedicated Apify actor.