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Spring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
by Community
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Give your AI agent access to 60M+ companies and 300M+ verified contacts. Enrich leads, find work emails, discover tech stacks, and identify buying intent — dire
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.
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 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.
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"
}
}
}
}
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"
}
}
}
}
Same config pattern. Set the DATALAYER_API_KEY environment variable and run npx -y @datalayer-sh/mcp via stdio.
sk_live_... key into your config10 free credits included — enough to test every tool.
| 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"
| 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"
| 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?"
| 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"
| 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 |
10 free credits on signup. Plans from $49/mo.
| 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) |
| 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 |
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.
Issues and pull requests are welcome. Please open an issue first to discuss what you'd like to change.
Add this to claude_desktop_config.json and restart Claude Desktop.
{
"mcpServers": {
"datalayer-mcp": {
"command": "npx",
"args": []
}
}
}