GTM Signals Aggregator MCP Server

@mambalabsdev

Basic information

About GTM Signals Aggregator MCP Server

MCP server for GTM Signals Aggregator. Combines hiring and tech stack detection into one composite GTM score via Apify. Clay-ready output.

#gtm #lead-scoring #signals #clay #apify

GTM Signals Aggregator MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mamba-gtm-signals": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-gtm-signals-aggregator"
      ],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

GTM Signals Aggregator MCP Server tools

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.

Overview

What is GTM Signals Aggregator?

GTM Signals Aggregator is 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. It is intended for go‑to‑market signal intelligence and AI agent workflows.

How to use GTM Signals Aggregator?

Install via npx and configure the APIFY_TOKEN environment variable in your Claude Desktop config. After restarting Claude, the aggregate_gtm_signals tool becomes available. Provide the target company domain (e.g., stripe.com) as the required input, and optionally request a plain‑English summary or detailed explanation.

Key features of GTM Signals Aggregator

Combines hiring signals and tech stack detection in a single call
Returns composite_score, composite_signal, and recommended_action
Optional plain‑English summary or detailed explanation
Designed for AI agent and Clay workflow consumption

Use cases of GTM Signals Aggregator

Score a company’s GTM strength by domain for lead prioritization
Composite row enrichment in Clay or other enrichment tools
Feed composite signal into AI agent workflows for outreach decisions
Quickly evaluate multiple target companies for sales pipeline filtering

Frequently asked questions

What does the GTM Signals Aggregator do?

It takes a company domain, runs hiring‑signal and tech‑stack detection together, and returns a single composite GTM score, a recommended action, and an optional plain‑English summary.

What are the prerequisites to use this server?

Node.js 18 or newer, an Apify account, and an Apify API token (APIFY_TOKEN). The token can be obtained from the Apify console under Account / Integrations.

How do I pass my Apify token?

Set the `APIFY_TOKEN` environment variable in the MCP server configuration, as shown in the Claude Desktop config example. The server uses this token to call the Apify actor.

What inputs does the tool require?

The only required input is `company_domain` (bare domain, no protocol or trailing slash). Optional inputs are `include_summary` (boolean) and `explain_mode` (boolean) for a longer summary.

Is this server part of a larger suite?

Yes, it is part of the Mamba Labs GTM Suite, a fleet of twelve MCP servers for go‑to‑market signal intelligence, each backed by a dedicated Apify actor.

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