# ntopng

> Use this tool when you need to monitor network traffic, analyze flows, and identify top talkers in a network environment. It provides access to network monitoring data through ClickHouse database queries and REST API endpoints, solving problems such as investigating network anomalies and diagnosing connectivity issues. With inputs of API tokens for authentication and outputs of network traffic statistics, use ntopng to retrieve valuable insights for cybersecurity investigations and traffic pattern tracking.

Canonical page: https://skillsregistry.net/skills/marcoeg-ntopng  
JSON: https://api.skillsregistry.net/v1/skills/marcoeg-ntopng

## Description

MCP-ntopng provides AI assistants with direct access to network monitoring data from ntopng systems through both ClickHouse database queries and REST API endpoints. Developed by Marco Graziano of Graziano Labs, this server exposes over 20 specialized tools for retrieving network traffic statistics, analyzing flows, monitoring alerts, and identifying top talkers in a network environment. The implementation requires ntopng with ClickHouse storage and handles authentication through API tokens, making it particularly valuable for cybersecurity professionals who need to investigate network anomalies, track traffic patterns, or diagnose connectivity issues without leaving their conversation interface.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/marcoeg-ntopng)
- **Repository:** <https://github.com/marcoeg/mcp-server-ntopng>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "marcoeg-ntopng"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcoeg-ntopng` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcoeg-ntopng/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt