Mcp Gtm Signals Aggregator

com.mambabuilt由 mambabuilt.com 發布v1.3.1更新於 Nov 7, 2026

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

發布方自己的服務:SIGNALS Loyalty Agent Platform

已驗證STDIO僅桌面資料與分析商業與電商

概覽

AI 產生的概覽

本機 MCP 伺服器,透過 Apify actor 把一家公司的招募、技術棧等 GTM 訊號彙整成單一綜合評分。

可以做什麼
  • 為公司評分:輸入純網域,回傳一列扁平 JSON,含綜合 GTM 分數、訊號強度與建議行動。
  • 選擇訊號來源:可從招募、技術棧、募資、活動與辦公型態中挑選,分數依所選來源正規化。
  • 解釋結果:可選擇產生淺白英文摘要,explain 模式下提供更詳細的說明。
  • 限制花費:可設定單次呼叫的美元上限,執行會在超過前停止。
適用情境
適合在篩選 B2B 目標客戶時,依公司網域快速、可重複地評分,並接入 Clay、CRM 或代理流程,而不必自行逐項閱讀招募或技術棧訊號。
執行需求
透過 npx 在本機執行,需要 Node.js 18 或更新版本。需要 Apify 帳號與 APIFY_TOKEN 環境變數;全部分析在 Apify 上執行並消耗 Apify 額度。
安裝前請注意
呼叫依事件計費,記在您自己的 Apify 帳號上;sources 每多一個來源就多一次子 actor 執行,成本隨深度增加,可用 max_charge_usd 限制。APIFY_TOKEN 是放在環境變數中的密鑰。它只讀取公開公司頁面、不寫入任何資料,但送出的網域會傳到 Apify。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Mcp Gtm Signals Aggregator,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

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]

來源: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.

輸入參數sourcesexplain_modecompany_domain必填max_charge_usdinclude_summary

版本歷史

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

評分

已滿足適用檢查項的 90%

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其他 Signals 整合