
MCP server for GTM Signals Aggregator. Combines hiring and tech stack detection into one composite
MCP server for GTM Signals Aggregator. Combines hiring and tech stack detection into one composite GTM score via Apify. Clay-ready output.
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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.
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.
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.
Every input the tool accepts, generated from the server's own tool list.
| Input | Type | Required | Description |
|---|---|---|---|
company_domain | string | yes | Bare company domain without https:// and without a trailing slash. Example: stripe.com |
sources | array of hiring, tech_stack, funding, events, workplace | no | Which 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_summary | boolean | no | Include a plain-English gtm_signal_summary field in the output. Defaults to the actor's default when omitted. |
explain_mode | boolean | no | If true, gtm_signal_summary becomes a longer, more detailed explanation instead of a 1 to 2 sentence summary. |
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.
{
"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"
}sources (hiring, tech stack, funding, events, workplace).sources is both the depth dial and the cost dial.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.
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
This server is one of 54 Mamba Labs MCP servers, each backed by a dedicated Apify actor and published under @mambalabsdev on npm. The ones closest to this server:
| Actor | Immutable Actor ID |
|---|---|
| GTM Hiring Signal Scraper | D7O1SA2EqwHGsGr1P |
| Tech Stack Signal Detector | 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 and Press Signal Scanner | FS13X6dhQVgX3XOM6 |
To get twenty one of them in one install, use @mambalabsdev/mcp-gtm-suite.
Built by Mamba Labs | npm | Apify Store
MIT
Built by Mamba Labs. https://apify.com/mambalabs
Pick your client and paste the snippet. Each one is the same server, written the way that client expects it.
claude mcp add mamba-gtm-signals -- npx -y @mambalabsdev/mcp-gtm-signals-aggregator{
"mcpServers": {
"mamba-gtm-signals": {
"env": {
"APIFY_TOKEN": ""
},
"args": [
"-y",
"@mambalabsdev/mcp-gtm-signals-aggregator"
],
"command": "npx"
}
}
}code --add-mcp '{"name":"mamba-gtm-signals","env":{"APIFY_TOKEN":""},"args":["-y","@mambalabsdev/mcp-gtm-signals-aggregator"],"command":"npx"}'[mcp_servers.mamba-gtm-signals]
command = "npx"
args = ["-y", "@mambalabsdev/mcp-gtm-signals-aggregator"]Runs locally on your device. Your client starts the server itself, so nothing has to be hosted.
Paste this prompt into your agent. It reads this page and does the setup for you.
Read https://aiagentslisting.com/mcp/gtm-signals-aggregator-mcp-server to learn what the "GTM Signals Aggregator MCP Server" MCP server does and how to install it. Add it to my coding agent's MCP configuration as documented on that page, then confirm the server connects and list the tools it exposes.Agents can also browse this directory over MCP at https://aiagentslisting.com/api/mcp
This server runs locally, so we can't read its tool list over the web yet.
Paste this line near the top of your repository's README. The badge always renders the current score.
[](https://aiagentslisting.com/mcp/gtm-signals-aggregator-mcp-server)Nothing comparable is listed yet.
v1.0.5Release notesv1.0.4Release notesv1.0.3Release notesConnect to the AI Agents Listing MCP server at https://aiagentslisting.com/api/mcp using the HTTP transport and complete the sign-in when it asks. Then call the submit_review tool for the listing "gtm-signals-aggregator-mcp-server" with a rating from 1 to 5 and a short note on what worked and what did not.No reviews yet
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