Company Change-Event Feed MCP Server

Company Change-Event Feed monitors a company domain for changes across hiring, tech stack, funding, firmographics, and social presence, then diffs the current state against your last run and returns only what changed as typed change events. Flat, Clay-ready JSON, one row per company, built for RevOps teams, outbound agencies, Clay users, and AI agents that need delta intelligence on target accounts.

What's Inside

• What it does

• Quick start

• Prerequisites

• Example prompts

• Tool and inputs

• Full actor documentation

• Mamba Labs GTM Suite

• License

Related MCP server: TokenEnrich MCP Server

What it does

This server gives an AI client one tool:

• get_company_changes: monitor a company domain for changes across hiring, tech stack, funding, firmographics, and social since the last run. The first run for a domain records a clean baseline (no changes); every run after that returns only the deltas as typed change events, each with a severity, a confidence, an old and new value, and the immutable Actor ID of the source that produced it.

All of the work runs on Apify. This package is a thin client that routes the tool call to 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": {
    "company-change-event-feed": {
      "command": "npx",
      "args": ["-y", "@mambalabsdev/mcp-company-change-event-feed"],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Get your token at https://console.apify.com/account/integrations, paste it in, and restart Claude Desktop. The tool will be available.

Prerequisites

• Node.js 18 or newer

• An Apify account with an API token

Example prompts

• "What changed at stripe.com since the last check across hiring, tech stack, and firmographics?"

• "Monitor hubspot.com and tell me only the high-severity changes."

• "Run a baseline for deel.com (company name Deel), then check it next week for deltas."

• "Did anything change in the GTM signals for notion.so?"

Tool and inputs

get_company_changes:

• domain (string, required unless domains is set): company domain to monitor, without https or www, e.g. stripe.com.

• domains (array, optional): batch mode, several company domains in one run with one output row each. When set and non-empty it overrides domain.

• company_name (string, optional): company name hint, used when the domain does not match the brand name, e.g. Deel for deel.com.

• sources (array, optional): which sources to monitor: hiring, tech_stack, firmographic, funding, social. Omit for all five. A source you do not select is not run and not charged, so this is the largest lever on cost.

• min_severity (string, optional): low (default, everything), medium (drops small noise), high (funding, acquisitions, exec moves, CRM changes and large hiring ramps only).

• previous_snapshot (object, optional): the snapshot object returned by a prior run. Supply it and it is used as the baseline instead of the stored snapshot, so you can hold delta state outside Apify. Ignored in batch mode.

• sub_actor_timeout_secs (integer, optional): per source run timeout in seconds, 5 to 300, default 300. The sources run in parallel, so total wall time is about the slowest source. Lower it to keep a quick test short.

• max_charge_usd (optional): a cost cap in USD for this run. The actor stops before an item that could take its charges past this amount. Omit it to rely on the maximum cost per run set in Apify.

sources and sub_actor_timeout_secs are the two controls on how long and how much a call costs: each selected source is one sub actor run.

The output is one row per company: company_domain, company_name, run_date, is_baseline, total_changes, has_high_severity, latest_change_date, a changes array of typed change events, a source_status object (ok / degraded / skipped / not_selected per source), and a snapshot object carrying the current state for the next run's comparison. Each change event has event_type, severity, confidence, old_value, new_value, and the source_actor immutable Actor ID.

The funding source runs the Funding and Press Signal Scanner, so funding, exec move, product launch, and acquisition events are reported like any other source.

The tool starts the actor run and polls it to a finished status, so a long run is not cut off at 300 seconds. The run is allowed 1,800 seconds. If it is still going two minutes after that, the call stops waiting and returns the run ID with a link to it in the Apify Console, where the results land when it finishes. A run that does not succeed comes back as an error with its run ID and status.

Pricing

Price per event on the Apify FREE plan, from the live pricing record; paid Apify plans pay less per event.

Full actor documentation

For the complete input and output reference, pricing, and run history, see the Company Change-Event Feed actor on the Apify Store:

https://apify.com/mambalabs/company-change-event-feed

Mamba Labs GTM Suite

This server is part of the Mamba Labs GTM Suite, a fleet of 103 MCP servers for go-to-market data, each backed by a dedicated Apify actor. The table lists the actors the suite started with; every server is listed at https://mambabuilt.com.

Built by Mamba Labs | npm | Apify Store

License

MIT

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