Business Data MCP Server

io.github.ArtificiallyLTDv1.0.0更新于 Oct 6, 2026

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

已验证Streamable HTTP可网页运行Business & CommerceData & AnalyticsWeb Search & Scraping

概览

AI 生成的概览

为助手提供 13 个商业数据工具,涵盖政府合同、招聘信息、LinkedIn 与公司资料、YC 初创公司、联系方式、技术栈、PDF 和 Google Trends。

功能
这是一个远程 MCP 服务器,提供 13 个工具,每个工具都会在调用者的 Apify 账户上运行对应的 Apify Actor,并返回精简的 JSON。工具覆盖美国联邦合同机会与授标、欧盟招标、来自 Google Jobs、LinkedIn 和公司招聘页的职位、LinkedIn 公司和个人资料、Y Combinator 初创公司、公司联系方式、网站技术栈、PDF 与 DOCX 文本提取以及 Google Trends。运行时间较长时会返回部分结果和一个 runId,可用 get_run_results 继续分页获取。
适用场景
适合助手需要调研公司、招聘、公开招标或市场关注度,而不想单独搭建抓取工具的场景。适用于销售、招聘、采购和市场研究类问题,可在一次对话中组合多个数据来源。
运行要求
远程 Streamable HTTP 端点,无需本地运行时或软件包。需要 Apify 账户,并以 Authorization 请求头按 Bearer token 形式提供 Apify API 令牌。需要能访问该端点和 Apify 的网络。
安装前请注意
Authorization 请求头携带 Apify API 令牌,这是可计费的凭据,不要放入共享配置。每次工具调用都会在你的账户上启动按结果计费的 Apify Actor 运行,会产生费用,不过默认结果数量较小。工具只读取公开网页和公开的 LinkedIn 页面,提取的数据会返回给助手。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Business Data MCP Server,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。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "business-data-mcp": {
      "type": "http",
      "url": "https://artificially--business-data-mcp.apify.actor/mcp"
    }
  }
}

README

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 | 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 <YOUR_APIFY_TOKEN>. The exact URL is also shown on the Actor's Endpoints tab in Apify Console.

Claude Code

bash
claude mcp add --transport http business-data \  https://artificially--business-data-mcp.apify.actor/mcp \  --header "Authorization: Bearer <YOUR_APIFY_TOKEN>"

Cursor, VS Code, Windsurf and other MCP clients

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

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:

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

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:
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.

来源:README.md,提交 bcb407a

工具

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版本历史

1
  1. v1.0.0最新Oct 6, 2026