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encrata-mcp

v3.1.0

Published

Encrata MCP Server — Email intelligence, phone, company, domain, IP, Google & dark web search, web scraping, face recognition, monitoring, and contact lists for AI agents.

Readme

Website · Docs · Get API Key


What it does

Encrata gives your AI agent real-time email intelligence, IP intelligence, monitoring, and contact list management through these tools:

| Tool | Description | |------|-------------| | lookup_email | Full person enrichment — name, company, role, industry, location, education, social profiles, breach history, registered services, news mentions | | validate_email | Check if an email is deliverable, invalid, or disposable | | check_breaches | Check if an email has been exposed in data breaches | | ip_lookup | IP intelligence — geolocation, ISP/ASN, security flags (VPN, proxy, Tor), company info | | phone_lookup | Phone intelligence — carrier, line type, location, VoIP detection, risk, breaches | | company_search | Company search — size, industry, funding, LinkedIn data, knowledge graph | | domain_search | Domain intelligence — WHOIS, DNS, SSL, Shodan, VirusTotal threat intel | | google_search | Web search — supports search, news, images, videos, scholar, places, shopping, patents | | darkweb_search | Dark web search — credential leaks, forum posts, market listings, chat/IRC/paste mentions | | scrape_url | Scrape a web page and return its raw HTML — renders JS, bypasses bot blocks | | extract_data | Extract clean markdown or structured data (via CSS selectors) from a web page | | screenshot_url | Capture a full-page or element screenshot of a web page (PNG/JPEG) | | face_search | Find matching faces and linked identities from an image URL | | list_monitors | List all email monitors | | create_monitor | Create a new monitor to track email changes over time | | get_monitor | Get details of a specific monitor | | trigger_monitor_run | Trigger an immediate enrichment run | | list_runs | List monitoring runs for a monitor or all monitors | | get_run_results | Get enrichment results and detected changes for a run | | list_contact_lists | List all contact lists | | create_contact_list | Create a reusable email list | | get_contact_list | Get details of a specific contact list | | delete_contact_list | Delete a contact list permanently | | list_contact_list_emails | List all emails in a contact list | | add_emails_to_list | Add emails to a contact list | | remove_emails_from_list | Remove emails from a contact list | | list_bulk_jobs | List async bulk enrichment jobs | | get_bulk_job | Get status and download URL of a bulk job | | cancel_bulk_job | Cancel a pending/in-progress bulk job |

Quick Start

1. Get an API key

Sign up at encrata.com and create an API key in Settings → API Keys.

2. Install

npm install -g encrata-mcp

3. Connect to your AI tool

Pick your tool below and add the config:


Claude Desktop

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

{
  "mcpServers": {
    "encrata": {
      "command": "npx",
      "args": ["-y", "encrata-mcp"],
      "env": {
        "ENCRATA_API_KEY": "your-api-key"
      }
    }
  }
}

Claude Code

claude mcp add encrata -- npx -y encrata-mcp

# Set your API key
export ENCRATA_API_KEY="your-api-key"

Cursor

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

{
  "mcpServers": {
    "encrata": {
      "command": "npx",
      "args": ["-y", "encrata-mcp"],
      "env": {
        "ENCRATA_API_KEY": "your-api-key"
      }
    }
  }
}

VS Code / GitHub Copilot

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

{
  "servers": {
    "encrata": {
      "command": "npx",
      "args": ["-y", "encrata-mcp"],
      "env": {
        "ENCRATA_API_KEY": "your-api-key"
      }
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "encrata": {
      "command": "npx",
      "args": ["-y", "encrata-mcp"],
      "env": {
        "ENCRATA_API_KEY": "your-api-key"
      }
    }
  }
}

ChatGPT

ChatGPT supports MCP servers via the ChatGPT desktop app. Go to Settings → MCP Servers → Add and configure:

  • Name: Encrata
  • Command: npx -y encrata-mcp
  • Environment: ENCRATA_API_KEY=your-api-key

Example Prompts

Once connected, try asking your AI:

  • "Look up [email protected]"
  • "Is [email protected] a valid email?"
  • "Check if [email protected] has been in any data breaches"
  • "Find me everything about the person behind [email protected]"
  • "What can you tell me about the IP 8.8.8.8?"
  • "Is this IP address a VPN or proxy: 1.2.3.4"
  • "Look up this phone number: +14155551234"
  • "Search for OpenAI company info"
  • "Get domain intelligence for stripe.com"
  • "Google search for 'best AI tools 2026' and show me news results"
  • "Search the dark web for mentions of example.com"
  • "Scrape the HTML of https://news.ycombinator.com"
  • "Extract the article content from this blog post as markdown"
  • "Take a full-page screenshot of stripe.com"
  • "Search for matching faces from this image URL"
  • "Validate these emails and tell me which ones are deliverable: [email protected], [email protected], [email protected]"
  • "Create a monitor called 'Sales Leads' with these emails: [email protected], [email protected]"
  • "List my monitors and trigger a run on Sales Leads"
  • "Show me the results from the latest run"
  • "Create a contact list called 'Engineering Team'"
  • "Add [email protected] and [email protected] to my Engineering Team list"
  • "List my bulk jobs and check the status of the latest one"

Example Output

> Look up [email protected]

Name: Venkat
Email: [email protected]
Company: Unosend
Industry: Information Technology & Services
Validity: valid
LinkedIn: https://in.linkedin.com/in/venkatofl
Twitter: https://x.com/venkatofl

Environment Variables

| Variable | Required | Default | Description | |----------|----------|---------|-------------| | ENCRATA_API_KEY | Yes | — | Your Encrata API key | | ENCRATA_BASE_URL | No | https://encrata.com | API base URL (for self-hosted) |

How It Works

AI Agent (Claude/ChatGPT/Cursor/...)
  ↕ stdio (MCP protocol)
Encrata MCP Server (this package)
  ↕ HTTPS (REST API)
Encrata API (encrata.com/api/agent/*)
  ↕ parallel enrichment
10+ data sources

The MCP server runs locally on your machine as a stdio process. It bridges your AI agent to the Encrata REST API using the Model Context Protocol. All enrichment happens server-side — no data sources or credentials needed locally.

Pricing

See encrata.com/pricing for current pricing details.

Links

License

MIT