Install
$ agentstack add mcp-mambalabsdev-mcp-gtm-signals-aggregator ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v1.0.1 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v1.0.1. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
GTM Signals Aggregator MCP Server
[](https://smithery.ai/servers/mambabuilt/mcp-gtm-signals-aggregator) [](https://glama.ai/mcp/servers/mambalabsdev/mcp-gtm-signals-aggregator) [](https://registry.modelcontextprotocol.io/v0/servers?search=com.mambabuilt/mcp-gtm-signals-aggregator&limit=1) [](https://www.npmjs.com/package/@mambalabsdev/mcp-gtm-signals-aggregator) [](https://www.npmjs.com/package/@mambalabsdev/mcp-gtm-signals-aggregator) [](https://github.com/mambalabsdev/mcp-gtm-signals-aggregator/blob/main/LICENSE) [](https://mcpservers.org/servers/mambalabsdev/mcp-gtm-signals-aggregator)
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](#what-it-does)
- [Quick start](#quick-start)
- [Prerequisites](#prerequisites)
- [Example prompts](#example-prompts)
- [Inputs](#inputs)
- [Output](#output)
- [Example output](#example-output)
- [Features](#features)
- [Full actor documentation](#full-actor-documentation)
- [Mamba Labs GTM Suite](#mamba-labs-gtm-suite)
- [License](#license)
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:
{
"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
company_domain(required): the bare company domain, nohttps://and no trailing slash. Example:stripe.cominclude_summary(optional): include a plain-Englishgtm_signal_summaryin the output.explain_mode(optional): if true, the summary becomes a longer, more detailed explanation.
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
{
"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 compositescore, compositesignal, and recommended_action
- Optional plain-English gtmsignalsummary
- Designed for AI agent consumption
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 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
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: mambalabsdev
- Source: mambalabsdev/mcp-gtm-signals-aggregator
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v1.0.1 Imported from the upstream source.