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All six Mamba Labs GTM signal tools in one MCP server: hiring, tech, ICP, and more. Clay-ready.
All six Mamba Labs GTM signal tools in one MCP server: hiring, tech, ICP, and more. Clay-ready.
Well-structured MCP server with proper authentication, clear input validation via Zod, and appropriate error handling. The server securely handles the Apify token via environment variables and makes authenticated calls to a third-party API. One notable observation: the ICP Fit Scorer tool accepts optional LLM API keys (OpenAI/Anthropic) as string inputs, which could pose a risk if users pass credentials through tool arguments rather than environment variables, though this is a design trade-off for flexibility. Overall, the code is production-ready with no critical vulnerabilities. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
3 files analyzed · 7 issues found
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Set these up before or after installing:
Environment variable: APIFY_TOKEN
Add this to your MCP configuration file:
{
"mcpServers": {
"com-mambabuilt-mcp-gtm-suite": {
"env": {
"APIFY_TOKEN": "your-apify-token-here"
},
"args": [
"-y",
"@mambalabsdev/mcp-gtm-suite"
],
"command": "npx"
}
}
}From the project's GitHub README.
One MCP server that exposes the entire Mamba Labs GTM Suite. Install a single package and get all six go-to-market tools in your MCP client, each wrapping a Mamba Labs actor on Apify and returning Clay-ready flat JSON.
This server gives an AI client six GTM tools in one place:
scan_gtm_hiring_signals — detect GTM hiring activity from career pagesdetect_gtm_tech_stack — detect CRM, sequencer, and marketing automation toolsaggregate_gtm_signals — combine hiring and tech-stack signals into one composite scorescan_job_board_keywords — scan job boards for roles in any categoryresolve_linkedin_url — resolve a domain or name to a LinkedIn company URLscore_icp_fit — score a company against your ideal customer profileAll of the work runs on Apify. This package is a thin client that routes each tool call to the right 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-suite": {
"command": "npx",
"args": ["-y", "@mambalabsdev/mcp-gtm-suite"],
"env": {
"APIFY_TOKEN": "your-apify-token"
}
}
}
}
Get your token at https://console.apify.com/account/integrations, paste it in, and restart Claude Desktop. All six tools will be available.
Each tool maps to one Apify actor. Inputs mirror the actor, minus deprecated and batch-only fields:
scan_gtm_hiring_signals: domain (required), role_filter, ats_slugdetect_gtm_tech_stack: domain (required), crawl_additional_pagesaggregate_gtm_signals: company_domain (required), include_summary, explain_modescan_job_board_keywords: company_domain (required), role_categories (required), custom_keywords, enable_fallback, previous_roles_detected, previous_run_dateresolve_linkedin_url: company_domain or company_name (at least one)score_icp_fit: company_domain (required), plus template, scoring_config, icp_description (+ llm_api_key, llm_provider), fetch_signals, include_explanationPrefer one tool at a time? Each actor also ships as its own MCP package:
@mambalabsdev/mcp-gtm-hiring-signal-scraper@mambalabsdev/mcp-gtm-tech-stack-signal-scraper@mambalabsdev/mcp-gtm-signals-aggregator@mambalabsdev/mcp-job-board-keyword-signal-scanner@mambalabsdev/mcp-domain-to-linkedin-url-resolver@mambalabsdev/mcp-icp-fit-scorerFor the complete input and output reference, pricing, and run history of each actor, see the Mamba Labs Apify Store page:
MIT
Built by Mamba Labs. https://apify.com/mambalabs
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