AI agent enrichment tool (MCP)

Give an autonomous agent every Encrata lookup as a callable tool.

Start with 500 free credits

$curl https://encrata.com/api/agent/lookup -H "Authorization: Bearer YOUR_API_KEY" -d '{"e": "satya@microsoft.com"}'

Use-case advisor

Advisor ready

Ask how ai agent enrichment tool (mcp) should work for your exact product, data and team.

What this use case means

This use case wires Encrata's lookups into an AI agent over MCP so the agent can resolve emails, domains, companies and IPs into structured data mid-conversation.

When to use it

Use it when building agents or copilots that need real, current intelligence rather than stale training data.
Manual review is slow because the useful signals live across Email, Domain and related sources.
Your team needs structured JSON that can feed a CRM, risk queue, SOC case, support tool, warehouse or AI agent.

How Encrata powers it

Capture the identifier

Connect the Encrata MCP server to your agent.

Run the lookup stack

Expose the lookups the agent is allowed to call.

Score the result

Let the agent choose the right lookup for each task.

Send it downstream

Feed the structured result back into the agent's reasoning.

Implementation shape

Example payloadPOST /api/agent/lookup

{
  "use_case": "ai-agent-enrichment-tool",
  "input": {
    "email": "example_email",
    "domain": "example_domain"
  },
  "fields_to_watch": [
    "email validity",
    "full name",
    "role",
    "domain age",
    "ssl status",
    "dns records"
  ],
  "action": "which lookup to call"
}

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