# Web Intel MCP — DNS, WHOIS, Email & SSL for Agents (`q_services/web-intel-mcp`) Actor

MCP server: DNS lookup, propagation, RDAP/WHOIS, email deliverability (SPF/DMARC), SSL cert info. Zero-maintenance protocols.

- **URL**: https://apify.com/q_services/web-intel-mcp.md
- **Developed by:** [Q Services](https://apify.com/q_services) (community)
- **Categories:** MCP servers, Developer tools
- **Features:** Limited permissions, Single-tenant, Server interface
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Web Intel MCP — DNS, WHOIS, Email & SSL for AI Agents

Serveur **MCP** (Model Context Protocol) prêt à brancher sur votre agent IA. Cinq outils d'intelligence réseau et domaine, sur des protocoles figés (DNS-over-HTTPS, RDAP, TLS) — donc fiables et sans maintenance.

### Outils exposés

| Outil | Ce qu'il fait |
|---|---|
| `dns_lookup` | Résout A, AAAA, MX, TXT, NS, CNAME, SOA, CAA |
| `dns_propagation` | Compare la résolution sur Cloudflare / Google / NextDNS |
| `rdap_whois` | Registrar, dates de création/expiration, statuts, nameservers |
| `email_deliverability` | Audit SPF / DMARC / MX / BIMI d'un domaine |
| `ssl_cert_info` | Émetteur, validité, jours avant expiration d'un certificat TLS |

### Connexion

Ce serveur tourne en **mode Standby**. Récupérez son URL MCP dans l'onglet *Standby* et ajoutez-la à votre client MCP (Claude Desktop, agents OpenAI, Vercel AI SDK…).

### Tarification

Pay-per-event : un petit montant par appel d'outil. Aucun abonnement.

### Cas d'usage

Agents devops/secops qui diagnostiquent un domaine, vérifient une migration DNS, auditent la délivrabilité email ou surveillent l'expiration d'un certificat — le tout depuis une conversation.

# Actor input Schema

## `note` (type: `string`):

Ce serveur fonctionne en mode Standby (MCP). Connectez-le à votre client MCP via l'URL Standby de l'onglet Standby. Aucun input requis pour un run classique.

## Actor input object example

```json
{
  "note": ""
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "note": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("q_services/web-intel-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "note": "" }

# Run the Actor and wait for it to finish
run = client.actor("q_services/web-intel-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "note": ""
}' |
apify call q_services/web-intel-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,q_services/web-intel-mcp"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/7R9y1MuZOE3EKpkeg/builds/35qskbA4BSG2heMRT/openapi.json