Business Data MCP Server

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

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

已驗證Streamable HTTP可網頁執行Business & CommerceData & AnalyticsWeb Search & Scraping

概覽

AI 產生的概覽

為助理提供 13 個商業資料工具,涵蓋政府合約、職缺、LinkedIn 與公司資料、YC 新創公司、聯絡方式、技術堆疊、PDF 和 Google Trends。

功能
這是一個遠端 MCP 伺服器,提供 13 個工具,每個工具都會在呼叫者的 Apify 帳戶上執行對應的 Apify Actor,並回傳精簡的 JSON。工具涵蓋美國聯邦合約機會與授標、歐盟招標、來自 Google Jobs、LinkedIn 和公司招募頁面的職缺、LinkedIn 公司與個人檔案、Y Combinator 新創公司、公司聯絡方式、網站技術堆疊、PDF 與 DOCX 文字擷取,以及 Google Trends。執行時間較長時會回傳部分結果和一個 runId,可用 get_run_results 繼續分頁取得。
適用情境
適合助理需要調查公司、招募、公開招標或市場關注度,而不想自行建置個別爬蟲工具的情境。適用於業務、招募、採購和市場研究類問題,可在一次對話中組合多個資料來源。
執行需求
遠端 Streamable HTTP 端點,不需要本機執行環境或套件。需要 Apify 帳戶,並以 Authorization 標頭按 Bearer token 形式提供 Apify API 權杖。需要能連線至該端點與 Apify 的網路。
安裝前請注意
Authorization 標頭攜帶 Apify API 權杖,這是可計費的憑證,請勿放入共用設定。每次工具呼叫都會在你的帳戶上啟動依結果計費的 Apify Actor 執行,會產生費用,不過預設結果數量較少。工具只讀取公開網頁和公開的 LinkedIn 頁面,擷取的資料會回傳給助理。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Business Data MCP Server,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "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.

來源:README.md,提交 bcb407a

工具

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版本歷史

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  1. v1.0.0最新Oct 6, 2026