# DevOps Infra Health MCP (`neon_innovation_lab/devops-infra-health-mcp`) Actor

Empower your AI Agent to instantly check SSL Expiry, DNS Records, Ping/Uptime, and scan TCP Ports on live external servers.

- **URL**: https://apify.com/neon\_innovation\_lab/devops-infra-health-mcp.md
- **Developed by:** [Neon Innovation Lab](https://apify.com/neon_innovation_lab) (community)
- **Categories:**
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 ssl expiry checks

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## DevOps Infra Health MCP Server

### What does DevOps Infra Health MCP Server do?

Give your AI Agents the ability to instantly audit, diagnose, and monitor live infrastructure directly from their context window. This Model Context Protocol (MCP) server acts as a "Swiss Army Knife" for DevOps, allowing any compatible AI Agent (like Claude or Cursor) to inspect external servers, SSL certificates, and DNS records in real-time.

### Why use DevOps Infra Health MCP Server?

Running network diagnostics locally from an AI agent is often blocked by firewalls or local OS restrictions.

- **Datacenter-Grade Reachability:** By routing your agent's requests through this cloud-hosted MCP Proxy, you guarantee clean, unrestricted network diagnostics.
- **Prevent Outages:** Give your agent the tools to proactively detect expiring SSL certificates and dropped packets.

### How to use DevOps Infra Health MCP Server

1. Connect this MCP server to your AI Agent or Claude Desktop.
2. Instruct your agent to "audit the infrastructure" for a specific domain or IP.
3. The agent will automatically call the necessary network tools (like `check_ssl_expiry` or `check_port_status`).
4. The agent reads the JSON response to diagnose the health of your target server.

### Input

This server operates natively via the Model Context Protocol. Your AI Agent will automatically pass the required JSON arguments to the tools, such as:

- `domain`: The target website (e.g., `google.com`).
- `host`: The target IP address or hostname.
- `port`: The target TCP port (e.g., `443`, `5432`).

### Output

The tools return clean, structured string data directly to your AI Agent's context window.

````json
{
  "results": "SSL Certificate for neoninnovationlab.com is valid. Expires in 42 days."
}

# Actor input Schema



## Actor input object example

```json
{}
````

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("neon_innovation_lab/devops-infra-health-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("neon_innovation_lab/devops-infra-health-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 '{}' |
apify call neon_innovation_lab/devops-infra-health-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neon_innovation_lab/devops-infra-health-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/QuHTOVOL82QLceFk6/builds/QBfx8VemtohvhJLdb/openapi.json