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mambalabsdev

company-change-event-feed

by mambalabsdev

Company Change-Event Feed MCP Server

Smithery Glama score MCP Registry npm version npm downloads license mcpservers.org

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

Related MCP server: Company Firmographic Enricher 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): company domain to monitor, without https or www, e.g. stripe.com.

  • 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).

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.

Funding signals are coming soon: the funding source ships as skipped until its sub-actor goes live, after which funding, exec move, product launch, and acquisition events appear automatically.

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 twelve specialized MCP servers for go-to-market signal intelligence, each backed by a dedicated Apify actor.

Actor

Immutable Actor ID

GTM Hiring Signal Scraper

D7O1SA2EqwHGsGr1P

GTM Tech Stack Signal Enrichment

qyd7nNyqFPelQViBx

GTM Signals Aggregator

xKdRfnfFNkdMpFuNs

Job Board Keyword Signal Scanner

4DvqpvhMR74NLcDDY

Domain to LinkedIn URL Resolver

3HtnSaqPHOg1Qg5gx

ICP Fit Scorer

W161DT8W4kW55dMFh

Domain Deliverability Checker

0tVgxI7A6o9jMlxmc

Company Firmographic Enricher

YlUtLWjfPpqykmB8g

Company Social Presence Mapper

4k6CCemkgBDz18m2h

Company Identity Resolver

lr8fTRAmZCBZmuwwh

Company Change-Event Feed

oX44rS0fkEJ3rXLWe

Funding & Press Signal Scanner

FS13X6dhQVgX3XOM6

Built by Mamba Labs | npm | Apify Store

License

MIT

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

Available Tools

1 tool
get_company_changesGet Company ChangesA
Read-only

Monitor a company domain for changes across hiring, tech stack, funding, firmographics, and social since the last run. Returns only what changed as typed change events in flat, Clay-ready JSON. Read-only; requires APIFY_TOKEN; consumes Apify credits.

ParametersJSON Schema
NameRequiredDescriptionDefault
domainYesCompany domain to monitor, without https or www, e.g. stripe.com.
company_nameNoOptional company name hint, used when the domain does not match the brand name, e.g. Deel for deel.com.

TDQS

A4.4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds behavioral context beyond annotations: read-only nature, token requirement, credit consumption, and output format (typed change events in flat JSON). No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise (~35 words), front-loaded with the primary action, and every sentence adds value. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 2 parameters and no output schema, the description covers the purpose, output format, and requirements adequately. Slightly more detail on the 'last run' behavior could be added, but it's sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and parameter descriptions are adequate. The tool description does not add further semantics beyond the schema, meeting the baseline expectation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool monitors a company domain for changes across specific categories (hiring, tech stack, etc.) and returns only changed data as typed events. It uses a specific verb and resource, and with no siblings, differentiation is not needed.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for monitoring changes but does not provide explicit when-to-use or alternatives, though no siblings exist. The constraints (read-only, token required, credit consumption) are clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool updatev1.0.0
    • First observedget_company_changes

TDQS

A4.1/5.0
Disambiguation5/5

With only one tool, there is no possibility of ambiguity. The tool's purpose is clearly defined.

Naming Consistency5/5

A single tool name (get_company_changes) is clear and follows a verb_noun pattern, consistent with itself.

Tool Count2/5

A single tool is too few for a server claiming to monitor multiple domains (hiring, tech stack, funding, etc.). A richer set of tools would better serve the scope.

Completeness2/5

The tool only returns changes since last run and is read-only. Missing tools for current state, search, or actions, leaving significant gaps for typical monitoring use cases.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Unclaimed servers have limited discoverability.

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