DMARC Validation Skill

What this skill does

Let your agent check a domain's DMARC record. Call it as an MCP tool to read the policy, alignment and report addresses live from DNS. You switch it on with a single toggle — no SDK and no endpoint wiring — and it answers over MCP or REST using the same key as every other skill.

See it work

A real response from the DMARC Validation Skill — exactly what your agent gets back when it makes the call.

vervekit · dmarcvalidatortool call

{
  "domain": "paypal.com"
}

result

host: paypal.com
dmarcHost: _dmarc.paypal.com
hasDmarc: true
dmarc_record: v=DMARC1; p=reject; rua=mailto:[email protected]…
rua: { … }
ruf: { … }
v: DMARC1
p: reject

+4 more fields

Run it with your own input. Live calls happen in your dashboard, on your key.

Ways to use it

Domain intelligence in one skill

Enable DMARC Validation so your app can validate dmarc — pull records, health, or ownership — without integrating a WHOIS/DNS provider per data type.

A tool for security & research agents

Over MCP, your model calls dmarcvalidator to ground a claim about a domain in real records before it reasons about risk.

Enrich from your backend

Call DMARC Validation over REST to validate dmarc across a list of domains in a scheduled job, one key for all of it.

Use it in your app

Once enabled, this skill is reachable two ways — pick whichever fits how you build. Both use the same key.

For AI agentsMCP

It appears to your model as a callable tool. No extra code — the agent invokes it when a task needs it.

dmarcvalidator

For apps & backendsREST

Call it from your server with one request and your key. Node, Python, Go — anything that can send a GET.

GET /v1/dmarcvalidator

Ask your agent

“Enable DMARC Validation and ask your agent to validate dmarc.”
“Pull the records and health for example.com.”

DMARC Validation Skill, answered

How to connect it over MCP or REST.

How do I add DMARC Validation to my app or agent?

Enable the DMARC Validation Skill on VerveKit, then reach it two ways with the same key: over MCP (it appears to your agent as the dmarcvalidator tool) or over REST (call it from any backend). No SDK to install and no endpoint to wire.

MCP or REST — which should I use?

Both work off one key. Use MCP when an AI agent should decide when to validate dmarc — the skill shows up as a callable tool. Use REST when your own server-side code should call it directly. Many apps use both.

Which agents and frameworks does it work with?

Any MCP client — Claude, Cursor, LangChain, and custom agents all speak the Model Context Protocol, so DMARC Validation appears as a standard tool with nothing skill-specific to integrate.

How many credits does a DMARC Validation call cost?

Each call costs 5 credits. Every skill rides the same key and the same connection, so enabling more skills doesn't add more integrations to manage.

Do I need to install anything?

No SDK and no endpoint wiring — enabling the skill is a toggle. You point your agent at the VerveKit MCP endpoint (or call REST) and DMARC Validation is available immediately.

Where does the data come from, and what shows on my bill?

VerveKit runs on APIVerve, our production data engine; DMARC Validation is one of 300+ skills on the same key. Invoices and card statements show APIVERVE.

Domain intelligence in one skill

A tool for security & research agents

Enrich from your backend

DMARC Validation Skill, answered

Give your software a way to act on the world.

Scaling in production?