# Fastly CDN

> Use this tool when you need to manage and interact with Fastly's CDN services through natural language conversations with AI assistants. It solves problems related to authenticated API requests, cache operations, and secure CLI command execution, providing a seamless interface for DevOps teams to manage their Fastly infrastructure. With automated authentication and comprehensive error handling, it accepts inputs such as API requests and CLI commands, and outputs logged operations and execution results.

Canonical page: https://skillsregistry.net/skills/arodoid-fastly  
JSON: https://api.skillsregistry.net/v1/skills/arodoid-fastly

## Description

FastlyMCP is a Node.js-based server that enables AI assistants to interact with Fastly's CDN services through the Model Context Protocol. It provides two main tools: one for making authenticated requests to the Fastly API for managing services, configurations, and cache operations, and another for executing Fastly CLI commands securely without exposing API keys. The implementation handles authentication automatically, logs operations for debugging, and includes comprehensive error handling, making it particularly useful for DevOps teams who want to manage their Fastly infrastructure through natural language conversations with AI assistants.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/arodoid-fastly)
- **Repository:** <https://github.com/jackwrichards/fastlymcp>

## 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": "arodoid-fastly"
    }
  }
}
```

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