# RIPE Atlas MCP Server

> Use this tool when you need to automate network measurement tasks, such as creating measurements, retrieving results, or managing probes, within the RIPE Atlas platform. It solves problems related to network diagnostics, performance monitoring, and resource management by providing a programmable interface for AI assistants. The tool accepts commands and queries as input and returns measurement results, probe information, and credit balances as output.

Canonical page: https://skillsregistry.net/skills/jrelph-ripe-atlas-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jrelph-ripe-atlas-mcp

## Description

A Model Context Protocol (MCP) server for the RIPE Atlas network measurement platform. Enables AI assistants to create network measurements, retrieve results, search probes, and manage credits.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nrlzu5j69r)
- **Repository:** <https://github.com/jrelph/ripe-atlas-mcp>

## 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": "jrelph-ripe-atlas-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jrelph-ripe-atlas-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jrelph-ripe-atlas-mcp/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