lead-enrichment-mcp
Enriches B2B company profiles with structured data including firmographic, technographic, and intent signals.
README
B2B Lead Enrichment MCP API
The MCP-native API that AI agents use to enrich B2B company profiles with structured data.
Live Production URL
https://lead-enrichment-mcp.agent-infra.workers.dev
Status: Live and accepting requests
Quick Start
# Test the API
curl https://lead-enrichment-mcp.agent-infra.workers.dev/health
# Enrich a company (replace with your API key)
curl -X POST https://lead-enrichment-mcp.agent-infra.workers.dev/mcp \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"enrich_lead","arguments":{"domain":"stripe.com"}}}'
Pricing
| Tier | Monthly | Price | Overage |
|---|---|---|---|
| Free | 100 enrichments | $0 | N/A |
| Pro | 10,000 enrichments | $49/month | $0.05/enrichment |
| Enterprise | Unlimited | Contact us | Custom |
Billing: Only for successful, high-confidence enrichments (confidence > 0.6). No charge for failed or low-quality enrichments.
Get an API Key
- Visit https://lead-enrichment-mcp.agent-infra.workers.dev
- Sign up for free tier or upgrade
- Copy your API key
MCP-Native for AI Agents
This API is built on the Model Context Protocol (MCP), making it natively discoverable and callable by AI agents like Claude, Cursor, and ChatGPT.
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"lead-enrichment": {
"command": "npx",
"args": ["-y", "@anthropic-ai/mcp-server-lead-enrichment"],
"env": {
"API_KEY": "your-api-key-here"
}
}
}
}
Cursor
Add in Cursor Settings > MCP > Add New Server:
{
"mcpServers": {
"lead-enrichment": {
"type": "http",
"url": "https://lead-enrichment-mcp.agent-infra.workers.dev/mcp",
"headers": {
"Authorization": "Bearer your-api-key-here"
}
}
}
}
VS Code Copilot
Create .vscode/mcp.json:
{
"servers": {
"lead-enrichment": {
"transport": "streamable-http",
"url": "https://lead-enrichment-mcp.agent-infra.workers.dev/mcp",
"headers": {
"Authorization": "Bearer your-api-key-here"
}
}
}
}
ChatGPT GPTs
Use the OpenAPI schema:
https://lead-enrichment-mcp.agent-infra.workers.dev/openapi.json
API Endpoints
| Method | Endpoint | Description |
|---|---|---|
| POST | /mcp |
MCP JSON-RPC endpoint |
| GET | /health |
Health check |
| GET | /.well-known/mcp-server.json |
MCP Server Card |
| GET | /openapi.json |
OpenAPI 3.1 spec |
| GET | /docs |
Human-readable docs |
| GET | /test/enrich?domain=stripe.com |
Test endpoint (auth required) |
Example Response
For stripe.com:
{
"companyName": "Stripe, Inc.",
"industry": "Fintech",
"employeeCount": "5000+",
"revenue": "$1B+",
"technologies": [
"React",
"Ruby on Rails",
"PostgreSQL",
"Redis",
"Kubernetes",
"AWS"
],
"intentSignals": [
"Recently hired 3 Sales VPs in Q2 2026",
"Expanding EU operations with new Dublin office"
],
"confidenceScore": 0.95,
"enrichedAt": "2026-06-19T12:00:00.000Z",
"insights": [
"High buying intent: Recently hired multiple sales VPs indicating expansion phase",
"Enterprise-grade requirements suggest need for robust security and compliance features",
"European expansion signals potential need for multi-currency and regional compliance"
]
}
The enrich_lead Tool
When to Use
- Qualify a lead before outreach
- Research a company before a sales call
- Enrich a list of companies for a campaign
- Understand a prospect's technology stack
- Detect buying intent signals
Input
| Parameter | Type | Required | Description |
|---|---|---|---|
domain |
string | Yes | Company domain (e.g., "stripe.com") |
attributes |
string[] | No | Data types: firmographic, technographic, intent, contacts |
requiredFields |
string[] | No | Fields that must be present |
Error Handling
All errors follow RFC 9457 Problem Details format:
{
"type": "https://api.lead-enrichment-mcp.com/errors/rate-limit-exceeded",
"title": "Rate Limit Exceeded",
"detail": "You have exceeded the rate limit...",
"status": 429,
"extensions": {
"code": "RATE_LIMIT_EXCEEDED",
"retry_after": 60
}
}
Rate Limits
| Tier | Burst | Sustained |
|---|---|---|
| Free | 10 req/sec | 5 req/sec |
| Pro | 50 req/sec | 20 req/sec |
Development
# Install dependencies
npm install
# Start local dev server
npm run dev
# Deploy
npm run deploy
Tech Stack
- Hono (TypeScript) - Fast, lightweight web framework
- Cloudflare Workers - Edge runtime
- Zod - Schema validation with .describe() annotations
- MCP SDK - Model Context Protocol
- Stripe - Metered billing
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。