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

Generect

作者:generect版本 0.13.1i★ –i电脑或云端
注册名称com.generect/generect-mcp

安装

概览

作者提供的说明(英文原文)

B2B lead and company data for AI agents: free search, pay only for emails, phones, profiles.

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: 电脑或云端
  • 传输方式: stdio, Streamable HTTP
  • 分类: 搜索与 AI 记忆
  • 你需要填写:GENERECT_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:3 项中通过 3 项
  • 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
  • 需要你自己填写: GENERECT_API_KEY, GENERECT_API_BASE

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

  • 在云端运行无需安装任何东西,通过互联网连接
  • 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 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.generect.com/mcp

或者在你的电脑上运行

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

{
  "mcpServers": {
    "generect": {
      "command": "npx",
      "args": [
        "-y",
        "generect-ultimate-mcp"
      ],
      "env": {
        "GENERECT_API_KEY": "your-value",
        "GENERECT_API_BASE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http generect https://mcp.generect.com/mcp

或者在你的电脑上运行

claude mcp add generect --env GENERECT_API_KEY=your-value --env GENERECT_API_BASE=your-value -- npx -y generect-ultimate-mcp

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": {
    "generect": {
      "url": "https://mcp.generect.com/mcp"
    }
  }
}

或者在你的电脑上运行

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": {
    "generect": {
      "command": "npx",
      "args": [
        "-y",
        "generect-ultimate-mcp"
      ],
      "env": {
        "GENERECT_API_KEY": "your-value",
        "GENERECT_API_BASE": "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": {
    "generect": {
      "type": "http",
      "url": "https://mcp.generect.com/mcp"
    }
  }
}

或者在你的电脑上运行

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": {
    "generect": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "generect-ultimate-mcp"
      ],
      "env": {
        "GENERECT_API_KEY": "your-value",
        "GENERECT_API_BASE": "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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.generect.com/mcp

菜单名称可能因套餐和版本不同而略有差异。

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

  • GENERECT_API_KEY 机密 必填 env
    Your Generect API key from app.generect.com/settings/api (a test_ key returns fictional data for free).
  • GENERECT_API_BASE env
    API base URL.

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

服务器要求先登录,才会列出它的工具。

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

    注册名称已通过域名 generect.com 验证(注册中心会核实域名所有权)

  • … 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

  • ✓ 通过

    端点有响应

    在 186 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7251 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7251 个服务器的 88% 更新
  • 基础检查结果等于或优于此分类中其他 7251 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

Generect 安全吗?

它在 3 项适用的基础检查中通过了 3 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:GENERECT_API_KEY

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.13.1)于5天前进入注册中心。

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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
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。

Generect MCP Server

B2B lead and company data for AI agents.

Search and audience sizing are free. You pay only for the emails, phones and full profiles you keep.

What it does

Give Claude, ChatGPT, Cursor or your own agent access to the Generect B2B database: people and companies by ICP, emails, phones and full profiles.

  • Free to explore. Counting an audience is free, and so is a database search with thin rows (who, role, where, which company), up to a daily row quota per account.
  • Pay for what you keep. Emails are billed only when a valid one is found, phones only when found, full profiles per record found.
  • No surprise bills. Every tool says up front whether it costs money, every response carries a cost block with the amount actually charged, and calls above a spend ceiling need an explicit confirmation. Tools that can charge are not marked read-only, so Claude and other hosts ask before running them (choose "Always allow" for the ones you trust); counting, balance and health run without asking.
  • Safe to try. A test key returns realistic fictional data at real speed and charges nothing.
  • Interactive in the chat. In Claude, ChatGPT and other hosts that support MCP Apps, results come back as cards you can act on: an audience card with prices, a lead table where you pick people and find their emails, company and profile cards, your balance.

Connect

Get an API key at app.generect.com/settings/api. Clients that support OAuth sign you in without one.

Remote server (recommended)

https://mcp.generect.com/mcp speaks streamable HTTP with OAuth 2.1, so most clients only need the URL. It serves MCP protocol revision 2026-07-28 (stateless, discovered via server/discover) and the 2025 revisions (2025-11-25, 2025-06-18) side by side, so any current client connects without settings.

Claude Code

claude mcp add --transport http generect https://mcp.generect.com/mcp

Claude.ai and Claude Desktop: Settings, Connectors, Add custom connector, then paste https://mcp.generect.com/mcp.

Cursor (.cursor/mcp.json) and other JSON-configured clients:

{

"mcpServers": { "generect": { "url": "https://mcp.generect.com/mcp" } } }

The first connection opens the Generect consent page in the browser. Approve it with the account you are already signed into, and the client receives its own token.

No OAuth in your client? Pass the key as a header, for example with mcp-remote:

{

"mcpServers": { "generect": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.generect.com/mcp", "--header", "Authorization: Bearer YOUR_API_KEY"] } } }

Local server (stdio)
{

"mcpServers": { "generect": { "command": "npx", "args": ["-y", "generect-ultimate-mcp@latest"], "env": { "GENERECT_API_KEY": "YOUR_API_KEY" } } } }

Requires Node 20 or newer. Optional: GENERECT_API_BASE (default https://api.generect.com) and GENERECT_TIMEOUT_MS. If Claude Desktop on macOS reports spawn npx ENOENT, set command to the absolute path of npx.

Test mode

Use a test_… key from app.generect.com/settings/api in any of the configs above. Every tool then answers with fictional data, shows what the real call would have cost and charges nothing. Results carry test_mode: true so an agent cannot mistake them for real people. See Test mode.

Interactive results (MCP Apps)

Hosts that support the MCP Apps extension (Claude on web, desktop and mobile, ChatGPT, VS Code, Goose and others) render these tools as interactive views inside the conversation. Other clients get the same text and structured results as before.

ToolWhat you see
count_leads, count_companiesThe audience size, your filters, what the next step costs at your prices, and a button to see the first 25
search_leads, preview_leadsThe top people inline; open all of them as a table, filter, select, and find work emails right there. You confirm the maximum before anything is spent, a miss is free, and found emails go back to Claude so it can use them
search_companiesCompany cards and a table, with a one-click ask for decision makers at them
enrich_lead, get_lead_by_url, enrich_companyA profile card with the experience timeline and a find-email button
get_balanceBalance, this month's spend and your per-operation prices
generate_emailWhich emails were found and what it cost

The views follow the host's theme (light and dark), fonts and layout, and work on phones. Results from a test key are labelled as fictional.

Tools

Free

ToolWhat it does
count_leadsHow many people match an ICP, and what the next step costs at your rates. Start here.
count_companiesThe same for companies.
search_leadsPeople matching an ICP. Free with the default thin rows (database mode, daily quota).
search_companiesCompanies matching an ICP. Free with the default thin rows (database mode, daily quota).
get_balanceBalance, your real per-operation prices, and optionally spend by operation or by token.
get_bulk_jobPoll a bulk job (the work was billed at submit time).
list_webhooks, create_webhook, update_webhook, delete_webhook, test_webhookManage the webhook endpoints that receive bulk-job completion events.
healthLiveness and credential check against a free endpoint. Safe for monitors.

Billable

ToolBilled
search_leads, search_companies with detail: "full", in realtime mode and once the free quota is used upper returned row
preview_leadsper returned row (count_only: true is free)
resolve_profileper resolved profile, the cheapest paid call; an unresolvable link is free
enrich_lead, get_lead_by_urlper record found
enrich_companyper record found
generate_emailper valid email found
validate_emailper email submitted, whatever the verdict
find_phoneper phone found, the most expensive operation
start_bulk_jobper record, reserved when the job is submitted

Prices depend on your account tier: get_balance returns yours, and every response reports what was actually charged.

A budget-safe flow
count_leads (free)  →  search_leads, thin rows (free)  →  generate_email on the ids you keep (per valid email)

→ enrich_lead / find_phone only where needed

Thin and full rows

search_leads and search_companies take detail:

  • left out (default): thin rows while the free tier is available. Once it is not (quota spent, a custom-contract account), the search continues with full rows billed per row and says so in thin_unavailable.
  • "thin": free rows only. Never billed and never escalated to realtime; a spent quota returns a 429.
  • "full": the whole record, billed per row.

Thin lead rows carry id, name, job title, seniority, location and company (name, id, industry, country). Thin company rows carry id, name, industry, headcount range, HQ city and country, company type and founding year. Neither carries a LinkedIn URL, domain, contacts or history: generate_email takes the lead id directly, and enrich_lead / enrich_company return the full record.

Database and realtime

Search and enrich run against the Generect database (sub-second, free counts) or a live LinkedIn lookup (5 to 60 seconds, billed counts, every filter). Tools take mode:

  • auto (default) tries the database first and escalates only if the API says a filter you passed is not supported there. The escalation is reported and is refused above the spend ceiling.
  • database never escalates: an unsupported filter is an error, not a bigger bill.
  • realtime goes live directly. Counting live costs money, so count_* run it only when asked for explicitly.
Filter vocabularies

company_industries and seniorities accept unknown values silently and return zero results, which reads like "this audience does not exist". The server therefore checks values before sending anything: unknown industries, headcount buckets and company types are refused locally with the closest valid names, and mis-cased values are corrected. allow_unlisted_values: true overrides the check.

The full vocabularies are exposed as resources:

generect://vocabulary/industries

generect://vocabulary/seniorities generect://vocabulary/functions (realtime only) generect://vocabulary/company-types generect://vocabulary/headcounts generect://vocabulary/follower-ranges (realtime only) generect://account/pricing your per-operation prices generect://account/balance balance and month-to-date usage

Prompts

Workflow prompts appear as slash commands in clients that support them: size_an_audience, build_prospect_list, enrich_my_list and spend_report. Each one starts from the free step.

Spend ceiling

A row cap bounds results, not money. Any call whose worst case exceeds MCP_MAX_SPEND_PER_CALL (default $5) is refused with the exact figure and must be repeated with confirm_spend_usd set to at least that amount. start_bulk_job is checked before it submits, because a bulk job reserves its whole cost up front.

Agent skill

Tools let an agent call Generect; the skill teaches it the procedure above.

npx skills add generect/generect_mcp --skill generect-lead-workflows

See skills/README.md.

More

  • Documentation
  • Operating and self-hosting the server: logging, OAuth endpoints, security settings, deployment, Docker
  • Release process
  • Issues

If Generect saves you time, a star on this repository helps other people find it.

License

MIT

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