DataLayer

Give your AI agent access to 60M+ companies and 300M+ verified contacts. Enrich leads, find work emails, discover tech stacks, and identify buying intent — directly from Claude, Cursor, Windsurf, or any MCP-compatible AI agent.

DataLayer MCP Server

Give your AI agent access to 60M+ companies and 300M+ verified contacts. Enrich leads, find work emails, discover tech stacks, and identify buying intent — directly from Claude, Cursor, Windsurf, or any MCP-compatible AI agent.

npm version License: MIT


What is this?

DataLayer is a B2B data enrichment API. This MCP server lets AI agents call it directly — no code, no HTTP requests, just natural language.

Ask your agent:

"Find the VP of Engineering at Stripe and get their verified email"

"Show me all SaaS companies in the US using Salesforce with 50+ employees that are actively hiring"

"What's the tech stack at HubSpot? Do they use AWS or GCP?"

"Find companies spending $10K+/mo on Google Ads with employee growth above 15%"

The agent calls the right DataLayer tool, gets structured data back, and reasons about it.


Install

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "datalayer": {
      "command": "npx",
      "args": ["-y", "@datalayer-sh/mcp"],
      "env": {
        "DATALAYER_API_KEY": "sk_live_your_key_here"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "datalayer": {
      "command": "npx",
      "args": ["-y", "@datalayer-sh/mcp"],
      "env": {
        "DATALAYER_API_KEY": "sk_live_your_key_here"
      }
    }
  }
}

Windsurf / Other MCP Clients

Same config pattern. Set the DATALAYER_API_KEY environment variable and run npx -y @datalayer-sh/mcp via stdio.

Get your API key

  1. Sign up at datalayer.sh (free, no credit card)
  2. Go to Dashboard → API Keys → Create key
  3. Copy the sk_live_... key into your config

10 free credits included — enough to test every tool.


What Can You Do?

Find People & Emails

ToolWhat it doesCredits
enrich_personGet name, verified email, phone, job title, seniority, LinkedIn URL for any contact1
lookup_personFind a person by email, phone number, LinkedIn URL, or name + company1
search_peopleSearch 300M+ contacts by title, seniority, function, company, location1/result
company_employeesList decision-makers at any company, filtered by role and seniority1

Example: "Find all VPs of Engineering at Shopify with verified emails"

Research Companies

ToolWhat it doesCredits
enrich_companyFull company profile — industry, headcount, revenue, funding, tech stack, traffic, ad spend1
lookup_companyFind a company by domain, LinkedIn URL, or name1
search_companiesSearch 60M+ companies by industry, size, tech stack, funding, traffic, growth1/result

Example: "Show me Series A fintech companies in the US with 50-200 employees"

Company Intelligence

ToolWhat it doesCredits
company_technographicsFull tech stack across 16 categories — CRM, cloud, marketing automation, analytics, etc.1
company_headcountDepartment breakdown (engineering, sales, marketing, etc. — 15 departments)1
company_jobsOpen roles by department — a hiring intent signal1

Example: "What CRM does Notion use? What about their marketing automation stack?"

Buying Intent Signals

ToolWhat it doesCredits
find_intent_signalsCompanies ranked by buying intent — web traffic, Google ad spend, hiring velocity, employee growth, recent funding5/result

Example: "Find companies in the SaaS industry that are spending heavily on Google Ads and growing fast"


Use Cases

For Sales & GTM Teams

  • Build targeted lead lists: "Find CTOs at SaaS companies with 50-500 employees using AWS"
  • Enrich CRM data: Pipe company + contact data into HubSpot or Salesforce
  • Identify buying intent: Find companies actively hiring + spending on ads = ready to buy
  • Competitor analysis: "What tech stack does [competitor] use? Who are their key hires?"

For Recruiters

  • Source candidates: "Find senior engineers at companies using React and TypeScript in San Francisco"
  • Map org charts: Get headcount by department for any company
  • Track hiring signals: Companies with many open roles = growing = recruiting opportunities

For Investors & Analysts

  • Due diligence: Full company profile with funding history, growth rate, tech stack
  • Deal sourcing: "Find recently funded AI companies with high employee growth"
  • Market mapping: Search by industry, size, technology, and geography

For Developers & AI Agents

  • Automate prospecting: Build Claude Code pipelines that enrich leads automatically
  • n8n / Make workflows: Trigger enrichment from any automation platform
  • CRM enrichment bots: Agents that keep your CRM data fresh and complete

Data Coverage

MetricCoverage
Companies60M+ worldwide
Contacts300M+ verified professionals
EmailsVerified with 90-day re-verification cycle
Phone numbersDirect dials and mobile numbers
Tech stack16 categories (CRM, cloud, marketing, analytics, etc.)
SignalsGoogle Ad Spend, web traffic, employee growth, funding, hiring velocity
GeographyGlobal — US, EU, APAC, LATAM

How Credits Work

  • 1 credit = 1 enrichment (company or person)
  • Search results: 1 credit per result returned
  • Intent signals: 5 credits per result (premium data)
  • Failed lookups (404): Free — no credits consumed
  • Credits never expire on top-up packs

10 free credits on signup. Plans from $49/mo.


Environment Variables

VariableRequiredDescription
DATALAYER_API_KEYYesYour API key from datalayer.sh
DATALAYER_API_URLNoOverride API base URL (default: https://api.datalayer.sh)

Why DataLayer?

DataLayerApolloClayZoomInfo
MCP serverYesLimitedNoNo
REST APIYesLimitedNoLimited
Intent signalsYes (unique)SomeNoYes
PricingFrom $49/mo$49+/user/mo$185+/mo$6K+/yr
Credits expireNeverMonthlyMonthlyAnnual
Legal riskLicensed dataOKVariesOK
Failed lookupsFreeChargedChargedCharged

Links


FAQ

Do I need to write code to use this? No. Install the MCP server, add your API key, and talk to your AI agent in natural language. The agent handles everything.

What AI tools does this work with? Any MCP-compatible client: Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue, and more.

Is the data scraped from LinkedIn? No. DataLayer uses licensed, GDPR/CCPA-compliant data. No scraping, no legal risk. (ProxyCurl was shut down for scraping — we don't have that problem.)

How fresh is the data? Contacts are re-verified on a 90-day cycle. Company data is refreshed monthly.

What happens if a lookup returns no results? You're not charged. Failed lookups (404s) are free.


Contributing

Issues and pull requests are welcome. Please open an issue first to discuss what you'd like to change.

License

MIT

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