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

Business Data MCP Server

作者:ArtificiallyLTD版本 1.0.0i★ –i在云端运行
注册名称io.github.ArtificiallyLTD/business-data-mcp

安装

概览

作者提供的说明(英文原文)

Gov contracts, jobs, LinkedIn, YC, company contacts, tech stacks, PDFs and Google Trends for agents

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: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 营销与社交媒体
  • 你需要填写:Authorization

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport http business-data https://artificially--business-data-mcp.apify.actor/mcp --header 'Authorization: your-value'

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": {
    "business-data": {
      "url": "https://artificially--business-data-mcp.apify.actor/mcp",
      "headers": {
        "Authorization": "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": {
    "business-data": {
      "type": "http",
      "url": "https://artificially--business-data-mcp.apify.actor/mcp",
      "headers": {
        "Authorization": "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。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

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

  • Authorization 机密 必填 HTTP header
    Your Apify API token as 'Bearer ' (Apify Console > Settings > API & Integrations). Each tool call runs a pay-per-result Apify Actor on your account.

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9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 ArtificiallyLTD 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

  • ✓ 通过

    端点有响应

    在 1008 毫秒内响应(HTTP 401)

  • ! 注意

    使用 OAuth 登录

    需要你自己复制粘贴密钥或令牌

  • … 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“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 3620 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 3620 个服务器的 47% 更新
  • 基础检查结果等于或优于此分类中其他 3620 个服务器的 51%

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

Business Data MCP Server 安全吗?

它在 3 项适用的基础检查中通过了 2 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:Authorization

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于33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:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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:↓ 每周下载量i★ 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

MCP YouTube Transcript

An MCP server retrieving transcripts of YouTube videos

作者:jkawamoto正在增长★ 49512天前更新

在你的电脑上运行

Google Analytics MCP

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

作者:surendranb正在增长↓ 1088/周★ 24411天前更新

在你的电脑上运行

BibiGPT YouTube Video Summarizer

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

作者:JimmyLv正在增长★ 13712天前更新

在云端运行✓ bibigpt.co

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。

Business Data MCP Server

Gov contracts, jobs, LinkedIn and company data as tools for AI agents. Hosted on Apify: apify.com/artificially/business-data-mcp

One MCP server that gives Claude, ChatGPT, Cursor and any other AI agent 13 business data tools: US federal contract opportunities and awards, EU public tenders, jobs from Google Jobs, LinkedIn and company career sites, LinkedIn company and person profiles, Y Combinator startups, company contact details, website tech stacks, PDF text extraction and Google Trends.

Each tool runs one of our dedicated Artificially Actors on your Apify account and returns compact JSON sized for an agent's context window.

Built by [Artificially](https://apify.com/artificially) | Follow us on X @artificially_io

Why this MCP server

  • One connection, 13 tools – no need to add each Actor separately. The agent sees clear tool names, short descriptions and small, typed inputs.
  • Agent-friendly output – every tool asks the underlying Actor for its compact output, keeps result counts small by default and caps the response size, so answers fit in the context window.
  • Handles slow runs – long runs report progress; if a run is still going when the wait limit is reached, the tool returns what is ready plus a runId, and the agent calls get_run_results later.
  • Clear errors – failed runs, missing credit, blocked domains and unreadable documents come back as short messages the agent can act on.
  • You only pay for results – no extra fee for the MCP layer (see Pricing).

Tools

ToolWhat it doesBacked by
search_gov_contract_opportunitiesOpen US federal solicitations, RFPs and sources sought on SAM.gov by keyword, NAICS, agency, set-aside and dateSAM.gov Opportunities Scraper
search_awarded_federal_contractsAwarded US federal contracts (winners, amounts, agencies) from USAspending.govUS Federal Contracts Scraper
search_eu_tendersEU/EEA public tenders and contract awards from TED by keyword, country, CPV and notice typeEU Tenders Scraper
search_company_career_jobsOpen roles from company career sites (Greenhouse, Lever, Ashby, Workable and more)Career Site Jobs Scraper
search_google_jobsGoogle Jobs search results aggregated from job boards and company sitesGoogle Jobs Scraper
search_linkedin_jobsPublic LinkedIn job postings by keywords, location, date, workplace type and seniorityLinkedIn Jobs Scraper
get_linkedin_companyLinkedIn company pages: website, industry, size, employees, followers, HQ, fundingLinkedIn Company Scraper
get_linkedin_profilesPublic LinkedIn person profiles: headline, current company, experience, educationLinkedIn Profile Scraper
find_yc_companiesY Combinator startups by keyword, batch, industry, status and hiring, optionally with foundersY Combinator Scraper
get_company_contactsEmails, phone numbers, social profiles and contact pages from company websitesCompany Contact Extractor
detect_website_tech_stackTechnologies a website uses: CMS, ecommerce, analytics, CDN, email provider, frameworksWebsite Tech Stack Detector
extract_pdf_textClean text or Markdown from public PDF and Word (.docx) URLs, with optional OCRPDF Text Extractor
google_trendsGoogle Trends interest over time, regions and related queries, or what is trending nowGoogle Trends Scraper
get_run_resultsFetch or page through results of a run started by any tool above–

Setup

You need an Apify account and your Apify API token. The server uses the Streamable HTTP transport at this endpoint:

https://artificially--business-data-mcp.apify.actor/mcp

Send your token as Authorization: Bearer . The exact URL is also shown on the Actor's Endpoints tab in Apify Console.

Claude Code
claude mcp add --transport http business-data \

https://artificially--business-data-mcp.apify.actor/mcp \ --header "Authorization: Bearer "

Cursor, VS Code, Windsurf and other MCP clients
{

"mcpServers": { "business-data": { "url": "https://artificially--business-data-mcp.apify.actor/mcp", "headers": { "Authorization": "Bearer " } } } }

Claude (claude.ai and Claude Desktop) via Apify's MCP server

Claude's custom connectors sign in with OAuth, so connect through Apify's hosted MCP server, which loads this server's tools for you:

Settings → Connectors → Add custom connector, and paste:

https://mcp.apify.com?tools=artificially/business-data-mcp

The same URL works in any client that supports remote MCP servers with OAuth. Tools then appear with an artificially--business-data-mcp-- prefix.

Clients without remote HTTP support

Use the mcp-remote bridge:

{

"mcpServers": { "business-data": { "command": "npx", "args": [ "-y", "mcp-remote", "https://artificially--business-data-mcp.apify.actor/mcp", "--header", "Authorization: Bearer " ] } } }

Example prompts

  • "Find open SAM.gov cybersecurity solicitations for NAICS 541512 set aside for small businesses, due in the next 30 days."
  • "Who won the largest Department of Veterans Affairs cloud contracts since 2024, and for how much?"
  • "List open German public tenders for software development with deadlines at least two weeks away."
  • "Which engineering roles are Stripe, Notion and Airbnb hiring for in London right now?"
  • "Search Google Jobs and LinkedIn for remote senior data engineer jobs posted this week."
  • "Get the LinkedIn company pages of OpenAI and Anthropic and compare headcount and followers."
  • "List YC W25 fintech startups that are hiring, with their founders."
  • "Find the contact emails and LinkedIn pages for these 10 domains, then tell me which of them run Shopify."
  • "Read this RFP PDF and summarize the evaluation criteria and deadlines."
  • "Compare Google Trends interest for 'claude' and 'chatgpt' in the US over the last 12 months."

Pricing

You pay each underlying Actor's per-result price, and nothing extra for the MCP layer.

  • Every tool call starts one run of the matching Artificially Actor on your Apify account, billed under that Actor's own pay-per-event pricing (for example, per company, per job or per document). Check each Actor's Store page (linked in the Tools table) for current prices.
  • Tools use small default limits (usually 10-20 results) and pass them to the Actor, so a typical call costs cents.
  • The MCP server itself runs in Apify Standby mode with 256 MB of memory. Its small platform usage while connected is billed to your account like any Actor run; it stops automatically when idle.
  • Apify's free plan includes monthly credit that covers plenty of tool calls to try it out.

How it works

  1. Your MCP client calls a tool, for example find_yc_companies with {"batches": ["W24"], "limit": 5}.
  2. The server starts artificially/ycombinator-scraper with compactOutput: true and maxResults: 5, using your own Apify token, so the run appears in your Apify Console.
  3. It waits for the run (up to 2-3 minutes depending on the tool, with progress notifications), then returns the dataset items as compact JSON:
{

"actor": "artificially/ycombinator-scraper", "runId": "jGdWwQx1J5blfxiom", "status": "SUCCEEDED", "itemCount": 5, "statusMessage": "Saved 5 Y Combinator companies (248 match in the directory). Reached maxResults.", "items": [ { "name": "Indemni", "website": "http://www.indemni.com", "oneLiner": "Cargo Theft and Fraud Prevention Platform", "batch": "Winter 2024", "status": "Active", "teamSize": 7, "isHiring": false } ] }

If the run is not finished in time, the response contains the items saved so far, a note and the runId; the agent calls get_run_results to get the rest. Responses are capped at about 40,000 characters, with the remainder available through get_run_results and offset.

FAQ

Do I need to start the Actor manually? No. It runs in Standby mode: the first request starts it automatically and it shuts down after a period of inactivity. Starting it from the Console's Start button does nothing useful.

Can I use my own Actor inputs? Each tool exposes the most useful inputs. For full control, run the underlying Actor directly or add it to Apify's MCP server by name.

Is LinkedIn data scraped while logged in? No. Only public pages visible to logged-out visitors are read.

Where do I report issues or request tools? Open an issue on the Actor's Issues tab.

问 PopNx