GTM Signals Aggregator

What it is

A single-tool client for the Mamba Labs GTM Signals Aggregator actor on Apify. Give it a company domain and it runs hiring-signal and tech-stack detection together, returning one flat JSON row: a composite score, a recommended action, and the underlying signals. The analysis runs on Apify; this package is the thin client in front of it.

What you get

• A composite score with a signal band and a recommended action, so a list of accounts can be sorted rather than read
• The components that made it, kept in the same row — whether there is a hiring signal and how strong, how many go-to-market roles are open, which CRM was detected and how many go-to-market tools are in the stack
• The run date on the row, so a stale enrichment is visible as stale
• An optional plain-English summary, and a longer explanation when you want the reasoning rather than the number
• Flat, Clay-ready output: one row per company, ready to drop into a CRM or an agent workflow without reshaping
• Read-only — it scans and scores, and changes nothing anywhere

Requirements

Node.js 18 or newer and an Apify account with an API token, set as APIFY_TOKEN. Runs over stdio from npm as @mambalabsdev/mcp-gtm-signals-aggregator. Every call runs the actor on your own Apify account and consumes Apify credits.

Setup effort

One command plus a key — npx -y @mambalabsdev/mcp-gtm-signals-aggregator, then supply credentials

Tools you get

1 tool when we connected. The sources argument defaults to hiring and tech_stack; each of funding, events and workplace you add is another actor run billed to your own Apify account.

Requires

• npx on PATH
• Node.js 18 or later
• APIFY_TOKEN in your environment

Where it runs

The documented client runs the server on your machine.