Mcp Gtm Signals Aggregator

com.mambabuilt由 mambabuilt.com 发布v1.3.1更新于 Nov 7, 2026

Combines hiring and tech-stack signals into one composite GTM score. Clay-ready output.

发布方自己的服务:SIGNALS Loyalty Agent Platform

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,通过 Apify actor 把一家公司的招聘、技术栈等 GTM 信号汇总成一个综合评分。

可以做什么
  • 给公司打分:输入裸域名,返回一行扁平 JSON,含综合 GTM 分数、信号强度和推荐动作。
  • 选择信号来源:可从招聘、技术栈、融资、活动和办公场所中挑选,评分按所选来源归一化。
  • 解释结果:可选生成通俗英文摘要,explain 模式下给出更详细的说明。
  • 限制花费:可设置单次调用的美元上限,运行在超出前停止。
适用场景
适合在筛选 B2B 目标客户时,按公司域名快速、可重复地打分,并接入 Clay、CRM 或智能体流程,而不必自己逐项阅读招聘或技术栈信号。
运行要求
通过 npx 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;全部分析在 Apify 上执行并消耗 Apify 额度。
安装前请注意
调用按事件计费,记在你自己的 Apify 账号上;sources 中每多一个来源就多一次子 actor 运行,成本随深度增加,可用 max_charge_usd 限制。APIFY_TOKEN 是放在环境变量中的密钥。它只读取公开公司页面、不写入任何数据,但提交的域名会发送到 Apify。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mcp Gtm Signals Aggregator,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

GTM Signals Aggregator MCP Server

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

[Gtm Signals Aggregator MCP server]

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.

What's Inside

What it does

Give it a company domain and it runs hiring-signal and tech-stack detection together, then returns a single composite GTM score, a recommended action, and an optional plain-English summary. One call, one row, ready to drop into Clay, a CRM, or an AI agent workflow. All of the analysis runs on Apify. This package is a thin client that calls 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": {    "mamba-gtm-signals": {      "command": "npx",      "args": ["-y", "@mambalabsdev/mcp-gtm-signals-aggregator"],      "env": {        "APIFY_TOKEN": "your-apify-token"      }    }  }}

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

Prerequisites

  • Node.js 18 or newer
  • An Apify account with an API token

Example prompts

  • "Give me the overall GTM signal score for stripe.com."
  • "How strong a GTM target is openai.com? Aggregate their signals."
  • "Score figma.com on hiring and tech stack, and explain why."
  • "Pull the composite GTM signal for datadoghq.com with a summary."

Inputs

Every input the tool accepts, generated from the server's own tool list.

InputTypeRequiredDescription
company_domainstringyesBare company domain without https:// and without a trailing slash. Example: stripe.com
sourcesarray of hiring, tech_stack, funding, events, workplacenoWhich signals to aggregate. Default ["hiring", "tech_stack"], which is what this actor has always run. Each extra source is one more sub actor run on the caller's own Apify account, so this is the cost dial as well as the depth dial. The composite score is normalized over the sources you selected, so a funding only run is scored on its own scale rather than capped by absent sources.
include_summarybooleannoInclude a plain-English gtm_signal_summary field in the output. Defaults to the actor's default when omitted.
explain_modebooleannoIf true, gtm_signal_summary becomes a longer, more detailed explanation instead of a 1 to 2 sentence summary.
max_charge_usdnumbernoOptional spending cap for this call, in USD. The actor stops before any charge that would take the run past this amount and keeps every row already charged.

Output

The tool returns the actor's flat JSON row for the scanned company, including the composite GTM score, a recommended action, the underlying hiring and tech-stack signals, and an optional summary. See the Apify Store page for the full output schema.

Example output

json
{  "company_domain": "notion.so",  "composite_signal": "strong",  "composite_score": 82,  "recommended_action": "prioritize",  "gtm_hiring_signal": true,  "signal_strength": "high",  "gtm_role_count": 9,  "crm_detected": "salesforce",  "tech_stack_signal": "high",  "gtm_tool_count": 5,  "run_date": "2026-05-28"}

Features

  • Combines hiring signals and tech stack detection in a single call
  • Flat row with composite_score, composite_signal, and recommended_action
  • Optional plain-English gtm_signal_summary
  • Designed for AI agent consumption

What this server does and does not do

  • It does one thing: one composite GTM score for one company per call, built from the sources you pick in sources (hiring, tech stack, funding, events, workplace).
  • Each extra source is one more sub actor run on your own Apify account, so sources is both the depth dial and the cost dial.
  • It does not return the underlying signals one by one. For those, call the single purpose servers, or install @mambalabsdev/mcp-gtm-suite, which carries this tool and twenty other account-intelligence tools in one server.
  • It reads public company pages only. It writes nothing anywhere.

Pricing

You pay per event on Apify, billed to your own Apify account. Prices from the live pricing record, read 2026-10-16:

EventPrice per event (USD)Fires when
apify-default-dataset-item$0.055 on the Free plan, down to $0.0385 on higher Apify plansSingle result in the default dataset.
apify-actor-start$0.00005Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).

The actor's Apify page carries the current prices. Running this server consumes Apify credits.

How each call runs

Each call starts the actor run, polls it until it finishes, then reads the dataset. The run is allowed 1,800 seconds. If the run is still going when this call stops waiting, the call returns the run id and a console link instead of a timeout, so the result is never lost.

Full actor documentation

This server is a thin client and holds no analysis logic. For the complete input and output reference, pricing, and run history, see the Apify Store page:

https://apify.com/mambalabs/b2b-buying-signals-hiring-tech-stack-intent-for-clay


Mamba Labs GTM Suite

This server is one of 103 Mamba Labs MCP servers, each backed by a dedicated Apify actor and published under @mambalabsdev on npm. The ones closest to this server:

ActorImmutable Actor ID
GTM Hiring Signal ScraperD7O1SA2EqwHGsGr1P
Tech Stack Signal Detectorqyd7nNyqFPelQViBx
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 and Press Signal ScannerFS13X6dhQVgX3XOM6

To get twenty one of them in one install, use @mambalabsdev/mcp-gtm-suite.

Built by Mamba Labs | npm | Apify Store

License

MIT

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

[GTM Signals Aggregator MCP Server on AI Agents Listing]

来源:README.md,提交 c352add

工具

1

aggregate_gtm_signals

Aggregate GTM Signals

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. Reads public data and writes nothing; requires an APIFY_TOKEN and consumes Apify credits per call.

输入参数sourcesexplain_modecompany_domain必填max_charge_usdinclude_summary

版本历史

5
  1. v1.3.1最新Nov 5, 2026
  2. v1.3.0Oct 16, 2026
  3. v1.2.1Oct 6, 2026
  4. v1.2.0Oct 6, 2026
  5. v1.1.0Sep 16, 2026

评分

已满足适用检查项的 90%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

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  • 已声明认证方式10 分

    请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。

  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
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其他 Signals 集成