# Akamai Edge Diagnostics MCP Server

> Use this tool when you need to troubleshoot and diagnose issues at the edge of the network, such as DNS or connectivity problems, and manage related support cases. It enables clients to run various diagnostics tests, like MTR and curl, and analyze errors, providing valuable insights for resolution. The tool accepts input via the Model Context Protocol and outputs diagnostic results and support case management data.

Canonical page: https://skillsregistry.net/skills/ritbikbharti-akamaiedgediagnosticsmcp  
JSON: https://api.skillsregistry.net/v1/skills/ritbikbharti-akamaiedgediagnosticsmcp

## Description

Enables LLM clients to run Akamai edge diagnostics (DNS, MTR, curl, error analysis, etc.) and manage support cases via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/onv9ofqnqz)
- **Repository:** <https://github.com/ritbikbharti/AkamaiEdgeDiagnosticsMCP>

## 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": "ritbikbharti-akamaiedgediagnosticsmcp"
    }
  }
}
```

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