Vexa
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
作者提供的说明(英文原文)
Person and company profiles, company search and logos, work emails and email checks
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。
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。
选择你使用的 AI 应用,然后复制设置。
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
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。
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。
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。
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。
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
注册名称已通过 GitHub 账户 enrichlayer 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
你需要填写:ENRICHLAYER_API_KEY
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)。
GitHub 仓库最后更新于–,最新版本(0.2.0)于前天进入注册中心。
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。
同一分类中有:Vexa, emailmd, MCP WhatsApp Cloud
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
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
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。
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.
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.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.
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": " " } } } }
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}" } } } }
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 mcp add --env ENRICHLAYER_API_KEY=<your API key> --transport stdio enrichlayer-v3 -- npx -y @enrichlayer/mcp-server-v3
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
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.
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 } } }
| Tool | v3 endpoint | What it does |
|---|---|---|
get_person_profile | GET /v3/person | One 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_profile | GET /v3/company | One company by its LinkedIn company or showcase page url. Optional sections: fundingData, exitData, acquisitions, extra, activities. |
search_companies | GET /v3/company/search | Companies matching a name (q), up to 10. |
search_company_logos | GET /v3/company/logo | Companies matching a name or domain (q), with logo URLs. |
find_work_emails | GET /v3/email/prospect | Work email candidates for full_name, or first_name and/or last_name, at a company domain. |
validate_email | GET /v3/email/validate | Whether 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).
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.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.
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:
MCP_TOOL_TIMEOUT for all servers, or a timeout in milliseconds for one server in .mcp.json.tool_timeout_sec, 60 seconds by default.timeoutSeconds, 180 seconds by default.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.
| Variable | Required | Default |
|---|---|---|
ENRICHLAYER_API_KEY | yes | — |
ENRICHLAYER_API_BASE_URL | no | https://api.enrichlayer.com |
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:
| Path | What it does |
|---|---|
POST /v3/mcp | MCP requests; needs a Bearer access token from the sign-in service |
GET /.well-known/oauth-protected-resource/v3/mcp | Tells the client where to sign in |
GET /v3/health | {"status":"ok","version":" "} |
| Variable | Required | Default |
|---|---|---|
MCP_BASE_URL | yes | — (the public origin; access tokens must be issued by it and for it) |
AUTH_JWT_SECRET | yes | — (the secret the sign-in service signs access tokens with) |
PORT | no | 3000 |
ENRICHLAYER_API_BASE_URL | no | https://api.enrichlayer.com |
SENTRY_DSN, SENTRY_ENVIRONMENT | no | errors 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
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.
MIT