mcp-outbound-infrastructure-fingerprint

mcp-outbound-infrastructure-fingerprint

Detects whether a company runs cold email outbound and identifies the email sending infrastructure, including sending domains, platforms, and authentication status.

Category
Visit Server

README

Outbound Infrastructure Fingerprint MCP Server

npm MCP License: MIT

MCP server for the Mamba Labs Outbound Infrastructure Fingerprint actor on Apify.

Give it a company domain. It tells your agent whether that company runs cold email outbound, and on what stack.

Tool

fingerprint_outbound_infrastructure

Input Type Notes
domain string One company domain.
domains string[] Batch. Takes precedence over domain.
scan_sending_domains boolean Default true. The strongest signal and the slowest step.
sending_domain_depth deep | standard Default deep (.com .co .io .net .org).
check_deliverability boolean Default false. Adds a separately billed blacklist check and health score.
skipCache boolean Ignore the 7 day result cache.

Returns a flat row per domain: runs_outbound (program, light, none, unknown), confidence, sending_domains[], registration_clusters[], sending_platforms[], inbox_provider, warmup_detected, infrastructure_vendors[], spf_status, dkim_status, dmarc_policy, and an evidence[] array of quotable strings.

What it actually detects

A real outbound program does not send from the domain the business runs on. It buys lookalikes (getcompany.com, company-mail.com, trycompany.co), gives them their own mail tenant, and redirects their web root at the real site. That redirect is the attribution handle, and finding those domains is the part nobody else does.

Measured on nine live domains: 6 of 6 detected on companies that demonstrably run outbound, 0 false positives of 3 on controls.

Two honest limits. When the brand token is an ordinary English word (Gong, Clay, Ramp), lookalike patterns collide with unrelated businesses that legitimately own them; the actor sets brand_is_common_word and caps confidence rather than reporting a confident none. And sending-platform recall is partial by design: Instantly, Smartlead, Lemlist, Apollo and Salesloft connect over OAuth to a customer's own mailbox and publish no SPF include host at all, so an empty sending_platforms tells you little while a populated one is solid.

Setup

{
  "mcpServers": {
    "mamba-outbound-infrastructure-fingerprint": {
      "command": "npx",
      "args": ["-y", "@mambalabsdev/mcp-outbound-infrastructure-fingerprint"],
      "env": { "APIFY_TOKEN": "your-apify-token" }
    }
  }
}

Get a token at console.apify.com/account/integrations. Read-only; consumes Apify credits per domain analyzed.

Also available

This tool is also exposed by the GTM Suite umbrella server, alongside the rest of the Mamba Labs GTM actors, if you would rather run one server than many.

Built by Mamba Labs.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured