Mcp Company Change Event Feed

com.mambabuilt由 mambabuilt.com 发布v1.4.2更新于 Nov 7, 2026

Detect company changes across hiring, tech stack, funding, and firmographics. Returns only deltas.

已验证STDIO仅桌面数据与分析商业与电商

概览

AI 生成的概览

本地 MCP 服务器,监控公司域名的招聘、技术栈、融资、企业画像和社媒变化,仅返回自上次运行以来的差异。

可以做什么
  • 监控单个或多个公司域名在招聘、技术栈、融资、企业画像和社媒方面的变化
  • 以带类型的变更事件返回差异,包含严重度、置信度、新旧值和来源 Actor ID
  • 首次运行记录基线,之后与已存快照或传入的上一份快照做对比
  • 按最低严重度过滤结果,并选择要运行的来源
  • 可设置单次运行的费用上限和每个来源的超时时间
适用场景
适合 RevOps、外呼和目标客户监控场景,让助手报告目标公司自上次检查以来的变化,而不是重复描述现状。也适合希望把差异状态保存在 Apify 之外、通过传入上一份快照的智能体。
运行要求
通过 npx 以 stdio 在本地运行,需要 Node.js 18 或更高版本。需要 Apify 账号和 APIFY_TOKEN 环境变量;所有工作由 Apify actor 执行,因此需要网络访问和 Apify 额度。
安装前请注意
APIFY_TOKEN 是付费账号凭据,通过环境变量传入。运行按事件在 Apify 计费,费用取决于所选来源和结果数量,可用 max_charge_usd 和 sources 过滤控制支出。公司域名和监控数据会发送到 Apify。长时间运行可能只返回运行 ID 和链接,而非最终结果。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mcp Company Change Event Feed,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

Company Change-Event Feed MCP Server

[Glama score] [MCP Registry] [npm version] [npm downloads] [license] [mcpservers.org]

[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

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:

json
{  "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.

EventPrice (USD)
Actor Start (apify-actor-start)0.00005
result (apify-default-dataset-item)0.01
change source resolved (change-source-resolved)0.01

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.

ActorImmutable Actor ID
GTM Hiring Signal ScraperD7O1SA2EqwHGsGr1P
GTM Tech Stack Signal Enrichmentqyd7nNyqFPelQViBx
GTM Signals AggregatorxKdRfnfFNkdMpFuNs
Job Board Keyword Signal Scanner4DvqpvhMR74NLcDDY
Domain to LinkedIn URL Resolver3HtnSaqPHOg1Qg5gx
ICP Fit ScorerW161DT8W4kW55dMFh
Domain Deliverability Checker0tVgxI7A6o9jMlxmc
Company Firmographic EnricherYlUtLWjfPpqykmB8g
Company Social Presence Mapper4k6CCemkgBDz18m2h
Company Identity Resolverlr8fTRAmZCBZmuwwh
Company Change-Event FeedoX44rS0fkEJ3rXLWe
Funding & Press Signal ScannerFS13X6dhQVgX3XOM6

Built by Mamba Labs | npm | Apify Store

License

MIT

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

来源:README.md,提交 68426e1

工具

1

get_company_changes

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 baseline and reports no changes (is_baseline true); every later run diffs against the stored snapshot, or against previous_snapshot when you pass one, and returns only what changed as typed change events, each with severity, confidence, old and new value, and the source actor ID. One flat Clay-ready row per company, with source_status per source and a snapshot object for the next comparison. Use it on a schedule to watch target accounts for deltas. Do not use it for a one-time profile of a company (the Company Firmographic Enricher or a single source actor is cheaper), because each selected source is one sub actor run. Pass domains for a batch. Requires an APIFY_TOKEN and consumes Apify credits per source run. Reads public data only and writes nothing.

输入参数domaindomainssourcescompany_namemin_severitymax_charge_usdprevious_snapshotsub_actor_timeout_secs

版本历史

6
  1. v1.4.2最新Nov 5, 2026
  2. v1.4.1Oct 16, 2026
  3. v1.4.0Oct 16, 2026
  4. v1.3.1Oct 6, 2026
  5. v1.3.0Oct 6, 2026
  6. v1.2.0Sep 16, 2026

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