GTM Signals Aggregator MCP Server

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.

Related MCP server: mcp-gtm-hiring-signal-scraper

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

• 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.

Built by Mamba Labs | npm | Apify Store

License

MIT

Built by Mamba Labs. https://apify.com/mambalabs