原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Enrich Layer v3

作者:enrichlayer版本 0.2.0i★ –i在你的电脑上运行
注册名称io.github.enrichlayer/mcp-server-v3

安装

概览

作者提供的说明(英文原文)

Person and company profiles, company search and logos, work emails and email checks

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 聊天与邮件
  • 你需要填写:ENRICHLAYER_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: ENRICHLAYER_API_KEY

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "v3": {
      "command": "npx",
      "args": [
        "-y",
        "@enrichlayer/mcp-server-v3"
      ],
      "env": {
        "ENRICHLAYER_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add v3 --env ENRICHLAYER_API_KEY=your-value -- npx -y @enrichlayer/mcp-server-v3

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "v3": {
      "command": "npx",
      "args": [
        "-y",
        "@enrichlayer/mcp-server-v3"
      ],
      "env": {
        "ENRICHLAYER_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "v3": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@enrichlayer/mcp-server-v3"
      ],
      "env": {
        "ENRICHLAYER_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • ENRICHLAYER_API_KEY 机密 必填 env
    Enrich Layer API key from enrichlayer.com/dashboard

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 enrichlayer 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“聊天与邮件”中的其他服务器比较i

  • 星标数多于此分类中其他 1774 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1774 个服务器的 89% 更新
  • 基础检查结果等于或优于此分类中其他 1774 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Enrich Layer v3 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:ENRICHLAYER_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.2.0)于前天进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Vexa, emailmd, MCP WhatsApp Cloud

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Vexa

作者:Vexa-ai

Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.

在云端运行★ 2,949Apache-2.02个月前更新
安装

emailmd

作者:anypost

Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.

电脑或云端★ 1,385MIT31天前更新
安装

MCP WhatsApp Cloud

作者:codespar

MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API

在你的电脑上运行★ 277MIT5个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Enrich Layer v3 MCP server

An MCP server for the Enrich Layer v3 API on api.enrichlayer.com. It gives an AI agent six tools: person and company profiles, company search, company logos, work email search and email validation.

This is a separate server from the v2 one (@enrichlayer/mcp-server), which keeps working as before.

Requirements

  • Node.js 20.3 or later.
  • An Enrich Layer API key.

API key, account and credits

  • Get a key: log in at enrichlayer.com/dashboard, open the API Key tab and copy the key.
  • Whose credits: the server works under the account whose key is set in ENRICHLAYER_API_KEY. Every successful call is charged to that account; the result shows the credits charged in creditCost. Calls that end in an error are not charged.
  • A separate account for an agent: a person creates an Enrich Layer account on the website, tops it up, copies its API key and puts the key into the agent's MCP config. The person owns the account and its credits.
  • Rate limit: the limit is counted per account. New accounts have a very small limit until their first payment.

Install

Most clients keep the key in their config file, so keep that file private. VS Code asks for the key instead and stores it for you.

Cursor

The button opens Cursor's install link (cursor://anysphere.cursor-deeplink/mcp/install?...). The link carries no key: after the server is added, replace with your key in Cursor's MCP settings.

To add it by hand, put this block into ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):

{

"mcpServers": { "enrichlayer-v3": { "command": "npx", "args": ["-y", "@enrichlayer/mcp-server-v3"], "env": { "ENRICHLAYER_API_KEY": " " } } } }

VS Code

Install Enrich Layer v3 in VS Code

The link opens VS Code's install link (vscode:mcp/install?...). VS Code asks for the API key when the server first starts.

To add it by hand, put this into .vscode/mcp.json in the workspace, or into the MCP configuration of your user profile:

{

"inputs": [ { "type": "promptString", "id": "enrichlayer-api-key", "description": "Enrich Layer API key", "password": true } ], "servers": { "enrichlayer-v3": { "type": "stdio", "command": "npx", "args": ["-y", "@enrichlayer/mcp-server-v3"], "env": { "ENRICHLAYER_API_KEY": "${input:enrichlayer-api-key}" } } } }

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows) and add the same mcpServers block as for Cursor. Quit and reopen Claude Desktop. Server logs are in ~/Library/Logs/Claude/mcp-server-enrichlayer-v3.log on macOS.

Claude Code
claude mcp add --env ENRICHLAYER_API_KEY=<your API key> --transport stdio enrichlayer-v3 -- npx -y @enrichlayer/mcp-server-v3
Codex
codex mcp add enrichlayer-v3 --env ENRICHLAYER_API_KEY=<your API key> -- npx -y @enrichlayer/mcp-server-v3

Codex stops a tool call after 60 seconds by default. Raise the limit in ~/.codex/config.toml:

[mcp_servers.enrichlayer-v3]

command = "npx" args = ["-y", "@enrichlayer/mcp-server-v3"] env = { ENRICHLAYER_API_KEY = " " } tool_timeout_sec = 310

Windsurf

Add the same mcpServers block as for Cursor to the MCP config file named in the Windsurf MCP docs: ~/.config/devin/mcp_config.json on macOS and Linux, %AppData%/devin/mcp_config.json on Windows. Cascade opens this file with its "Open MCP config file" action. Instead of the key itself you can write ${env:ENRICHLAYER_API_KEY} there and keep the key in your environment.

Antigravity

Open the … menu of the agent panel → MCP Servers → Manage MCP Servers → View raw config, or edit ~/.gemini/config/mcp_config.json (.agents/mcp_config.json for one workspace). Add the same mcpServers block as for Cursor, with a longer tool call limit — Antigravity's default is 180 seconds:

{

"mcpServers": { "enrichlayer-v3": { "command": "npx", "args": ["-y", "@enrichlayer/mcp-server-v3"], "env": { "ENRICHLAYER_API_KEY": " " }, "timeoutSeconds": 310 } } }

Tools

Toolv3 endpointWhat it does
get_person_profileGET /v3/personOne person by exactly one identifier: profile (LinkedIn URL or username), email, twitter, facebook or github. Optional sections: socialLink, phoneNumber, personalEmail, workEmail, careerInsight, developerProfile, activities.
get_company_profileGET /v3/companyOne company by its LinkedIn company or showcase page url. Optional sections: fundingData, exitData, acquisitions, extra, activities.
search_companiesGET /v3/company/searchCompanies matching a name (q), up to 10.
search_company_logosGET /v3/company/logoCompanies matching a name or domain (q), with logo URLs.
find_work_emailsGET /v3/email/prospectWork email candidates for full_name, or first_name and/or last_name, at a company domain.
validate_emailGET /v3/email/validateWhether one email address is deliverable.

The input schemas are generated from the published v3 OpenAPI spec, so parameter names and allowed values are the ones v3 accepts.

Ask only for the sections you need. A full person profile can be long: Claude Code warns above 10,000 tokens of tool output and cuts it at 25,000 by default (raise MAX_MCP_OUTPUT_TOKENS if you need more).

Email addresses
  • get_person_profile with personalEmail or workEmail returns only addresses validated as deliverable. To find someone's work email from a profile URL, pass profile and workEmail: "include"; if contactInformation.emails.work is empty, find_work_emails with the person's name and company domain may still find candidates.
  • find_work_emails returns candidates, each with a validation verdict in validity; only valid is confirmed deliverable.
  • validate_email returns the verdict in emailStatus.

What a call returns

  • data — the full v3 answer, unchanged.
  • creditCost — credits charged for the call, from the X-EnrichLayer-Credit-Cost header.
  • requestId — the X-Request-Id of the call; quote it to support.

The result comes as MCP structured content and as the same JSON in a text block.

Errors come back as tool errors with a readable message, creditCost, requestId and the next step to take: invalid parameters (400), an invalid or missing key (401), not enough credits or no access (403), not found (404), no copy fresh enough (409, with the age of the newest cached copy), rate limit (429) and service errors (5xx). The server retries 429 and 5xx twice before it reports them.

Freshness and long calls

get_person_profile and get_company_profile take maxAgeSeconds: the oldest cached copy you accept. By default it is 30 days, and the answer usually comes in seconds. A small value starts a live lookup, which is slower and costs more: it can take up to 5 minutes, and the server waits up to 305 seconds.

MCP clients limit how long a tool call may run. Set the limit to at least 310 seconds where the client allows it:

  • Claude Code: MCP_TOOL_TIMEOUT for all servers, or a timeout in milliseconds for one server in .mcp.json.
  • Codex: tool_timeout_sec, 60 seconds by default.
  • Antigravity: timeoutSeconds, 180 seconds by default.
  • Claude Desktop, Cursor, VS Code and Windsurf do not document a setting for this, and a long call can be cut off by the client.

A call cut off before the answer arrives may still be charged. To get the copy that was saved in the meantime, call again without maxAgeSeconds; do not repeat a live lookup right away.

Environment variables

VariableRequiredDefault
ENRICHLAYER_API_KEYyes—
ENRICHLAYER_API_BASE_URLnohttps://api.enrichlayer.com

Hosted connector

The same tools are served over HTTP at https://mcp.enrichlayer.com/v3/mcp. Add that address as a remote MCP server in your client; the client opens the Enrich Layer sign-in page, where you paste your API key. Calls then spend that account's credits, as with the local server.

The server behind that address is the enrichlayer-mcp-v3-http command of this package. It serves Streamable HTTP without sessions, so any instance can answer any request:

PathWhat it does
POST /v3/mcpMCP requests; needs a Bearer access token from the sign-in service
GET /.well-known/oauth-protected-resource/v3/mcpTells the client where to sign in
GET /v3/health{"status":"ok","version":" "}
VariableRequiredDefault
MCP_BASE_URLyes— (the public origin; access tokens must be issued by it and for it)
AUTH_JWT_SECRETyes— (the secret the sign-in service signs access tokens with)
PORTno3000
ENRICHLAYER_API_BASE_URLnohttps://api.enrichlayer.com
SENTRY_DSN, SENTRY_ENVIRONMENTnoerrors are not reported

Each tool call writes one JSON line to stdout with the tool, the API status, creditCost, requestId, the time it took and the client name; keys, tokens and parameters are never logged.

A tag v also builds the image ghcr.io/enrichlayer/mcp: . To build and run it locally:

docker build -t enrichlayer-mcp-v3 .

docker run --rm -p 3000:3000 -e MCP_BASE_URL=http://localhost:3000 -e AUTH_JWT_SECRET= enrichlayer-mcp-v3 curl http://localhost:3000/v3/health

Development

npm ci

npm test # build, then unit and conformance tests npm run update-spec # refresh spec/v3-openapi.json from the published spec npm run gen:params # regenerate src/generated/v3-params.ts from the spec copy

CI checks the types and runs the tests on Node 20, 22 and 24, and fails when the published v3 spec differs from spec/v3-openapi.json.

server.json describes the server for the official MCP registry. Its name, version and package must match package.json; a test checks this.

To release, set the version in package.json and server.json and push the tag v . The tag runs the same checks and stages the version on npm; the package owner publishes it from Staged Packages on npmjs.com. Then run the Registry workflow by hand from the Actions tab to publish server.json to the MCP registry. The registry takes each version only once, so running the workflow again for the same version fails.

License

MIT

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