MCP 服务器

DataLayer MCP

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.

README

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.

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

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

10 free credits included — enough to test every tool.

What Can You Do?

Find People & Emails

Tool	What it does	Credits
`enrich_person`	Get name, verified email, phone, job title, seniority, LinkedIn URL for any contact	1
`lookup_person`	Find a person by email, phone number, LinkedIn URL, or name + company	1
`search_people`	Search 300M+ contacts by title, seniority, function, company, location	1/result
`company_employees`	List decision-makers at any company, filtered by role and seniority	1

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

Research Companies

Tool	What it does	Credits
`enrich_company`	Full company profile — industry, headcount, revenue, funding, tech stack, traffic, ad spend	1
`lookup_company`	Find a company by domain, LinkedIn URL, or name	1
`search_companies`	Search 60M+ companies by industry, size, tech stack, funding, traffic, growth	1/result

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

Company Intelligence

Tool	What it does	Credits
`company_technographics`	Full tech stack across 16 categories — CRM, cloud, marketing automation, analytics, etc.	1
`company_headcount`	Department breakdown (engineering, sales, marketing, etc. — 15 departments)	1
`company_jobs`	Open roles by department — a hiring intent signal	1

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

Buying Intent Signals

Tool	What it does	Credits
`find_intent_signals`	Companies ranked by buying intent — web traffic, Google ad spend, hiring velocity, employee growth, recent funding	5/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

Metric	Coverage
Companies	60M+ worldwide
Contacts	300M+ verified professionals
Emails	Verified with 90-day re-verification cycle
Phone numbers	Direct dials and mobile numbers
Tech stack	16 categories (CRM, cloud, marketing, analytics, etc.)
Signals	Google Ad Spend, web traffic, employee growth, funding, hiring velocity
Geography	Global — 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

Variable	Required	Description
`DATALAYER_API_KEY`	Yes	Your API key from datalayer.sh
`DATALAYER_API_URL`	No	Override API base URL (default: `https://api.datalayer.sh`)

Why DataLayer?

	DataLayer	Apollo	Clay	ZoomInfo
MCP server	Yes	Limited	No	No
REST API	Yes	Limited	No	Limited
Intent signals	Yes (unique)	Some	No	Yes
Pricing	From $49/mo	$49+/user/mo	$185+/mo	$6K+/yr
Credits expire	Never	Monthly	Monthly	Annual
Legal risk	Licensed data	OK	Varies	OK
Failed lookups	Free	Charged	Charged	Charged

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.