Mcp Personal Email To Company Resolver

com.mambabuilt由 mambabuilt.com 发布v1.0.1更新于 Nov 7, 2026

Find the likely employer behind a Gmail or other free mail signup, with a confidence.

概览

AI 生成的概览

根据公开的 Gravatar、GitHub 与 LinkedIn 线索,推断 Gmail、Outlook 等免费邮箱背后可能的雇主,并给出置信度。

可以做什么
  • 为单个邮箱或最多 300 个邮箱批量推断雇主
  • 每个邮箱返回一行,包含姓名、可能雇主、雇主域名和置信度
  • 说明雇主来源(Gravatar、GitHub、网页结果、LinkedIn 简介或邮箱域名)并附证据链接
  • 可选为未解析的邮箱追加一次精确网页搜索,并运行 LinkedIn URL 解析步骤
适用场景
当你手上有使用个人邮箱的注册用户、线索或联系人名单,想推测每个人所在公司,并希望有证据和置信度可供筛选时适用。
运行要求
通过 npx 在本机运行,需要 Node.js 18 或更高版本。调用需要 Apify 账号,并以环境变量 APIFY_TOKEN 提供 Apify API 令牌;没有令牌时工具仍会列出。需要访问 Apify 的网络,可选提供自己的 GitHub 令牌。
安装前请注意
每次调用都会在你的 Apify 账号上产生费用:解析成功的地址和运行启动按事件计费,可选的 LinkedIn 解析器按发送的人数计费,无论是否找到。可选的 GitHub 令牌会在本次运行中使用。结果依据公开资料推断,具有概率性,可能出错;可设置费用上限参数。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mcp Personal Email To Company Resolver,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

Personal Email to Company Resolver MCP Server

[Glama score] [MCP Registry] [npm version] [npm downloads] [license] [mcpservers.org]

[Personal Email To Company Resolver MCP server]

Give it a free mail address (Gmail, Outlook, iCloud, Yahoo, and about 140 more consumer domains). Each run reads the public Gravatar profile for the address, the GitHub account whose public commits are signed with it, and, for a name with an employer, Mamba Labs Person LinkedIn URL Resolver. It returns one row per address with the person's name, likely employer, employer domain, and a confidence. It never contacts the mailbox and never opens LinkedIn.

What's Inside

What it does

  • match_status is resolved (employer at 0.75 or more, billed), weak, name_only, corporate_email, not_found, invalid_email, or blocked, and only resolved is billed.
  • employer_source says where the employer came from: gravatar, github, web_result, linkedin_headline, or email_domain. evidence_urls lists the public pages.
  • The LinkedIn step raises the confidence when a LinkedIn result shows the employer as current and lowers it when it shows it as former.

All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

json
{  "mcpServers": {    "mamba-personal-email-to-company-resolver": {      "command": "npx",      "args": [        "-y",        "@mambalabsdev/mcp-personal-email-to-company-resolver"      ],      "env": {        "APIFY_TOKEN": "your-apify-token"      }    }  }}

Restart the client. The resolve_personal_email_employer tool appears.

Prerequisites

Example prompts

  • "These ten signups used Gmail addresses. Which companies do they work at?"
  • "Find the employer behind this Outlook address and show me the evidence."

Tool

resolve_personal_email_employer. One tool. Example arguments:

json
{ "emails": ["[email protected]"] }

Inputs

Every buyer facing input of the actor, unchanged. Omitted inputs take the actor's own defaults.

InputTypeDescription
emailstringOne address
emailsarrayUp to 300 addresses
github_tokenstringOptional, your own free GitHub token
search_webstringtrue adds one exact Google search per address left without an employer. Default false
use_linkedin_resolverstringtrue (default) runs Person LinkedIn URL Resolver from your account, billed at its own price
countrystringGoogle country code. Default us
max_charge_usdstringOptional cost cap for the run

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

EventFree planBronzeSilverGold
email-resolved, per address with an employer at 0.75 or more$0.025$0.02375$0.0225$0.02125
apify-actor-start, per run start$0.0005$0.0005$0.0005$0.0005

Every other row is free. With use_linkedin_resolver on, Person LinkedIn URL Resolver bills its own events on top: $0.035 per person sent to it, found or not, plus $0.0005 per run on the free plan.

Your keys

The actor holds no key. github_token is optional and is your own, used for the run only. Mamba Labs pays the platform costs of the run, proxy traffic included.

Full actor documentation

apify.com/mambalabs/personal-email-to-company-resolver

License

MIT. See LICENSE.

来源:README.md,提交 7d7b46e

工具

1

resolve_personal_email_employer

Resolve the employer behind a personal email

Find the likely employer behind a free mail address (Gmail, Outlook, iCloud, Yahoo, and about 140 more), from the public Gravatar profile for the address, the GitHub account whose public commits are signed with it, and Mamba Labs Person LinkedIn URL Resolver. Returns one row per address with person_name, employer_name, employer_domain when a source names it, employer_source, employer_confidence from 0 to 1, match_status (resolved at 0.75 or more, weak, name_only, corporate_email, not_found, invalid_email, blocked), the LinkedIn URL when found, and evidence_urls. It never contacts the mailbox and never opens LinkedIn. A run that does not succeed is returned as an error with its run ID. Read-only; requires an APIFY_TOKEN; Apify charges per resolved address, and the optional LinkedIn step is billed by Person LinkedIn URL Resolver at its own price.

输入参数emailemailscountrysearch_webgithub_tokenmax_charge_usduse_linkedin_resolver

版本历史

2
  1. v1.0.1最新Nov 5, 2026
  2. v1.0.0Oct 22, 2026

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