Fastlymcp

Fastly MCP is a tool that integrates Fastly API functions into AI assistants through the Model Context Protocol (MCP), enabling secure and efficient automation of CDN management.

Developer tools Cloud platform #CDN management #AI integration #API proxy #Edge computing

rating : 2.5 points

downloads : 7.7K

update time : 2025-04-28

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What is Fastly MCP?

Fastly MCP is a bridge connecting AI assistants with Fastly CDN services. Through the Model Context Protocol, you can manage all of Fastly's API functions via natural language commands.

How to use Fastly MCP?

Simply configure the Fastly MCP server in an AI assistant that supports MCP (such as Claude or GPT), and then you can query and manage your Fastly services using natural language.

Use Cases

Suitable for developers and operations personnel who need to quickly query CDN status, manage caches, configure security rules, or monitor performance metrics. Particularly suitable for teams that need to interact with Fastly frequently.

Main Features

Service Management

Create, configure, and deploy CDN services

Cache Control

Set cache policies and perform immediate clearing

Security Configuration

Manage WAF, DDoS protection, and TLS certificates

Performance Monitoring

Access real - time metrics and historical statistics

Advantages

API - first design - All functions can be accessed via API

Real - time changes - API changes are propagated globally in just a few seconds

Key security - AI assistants do not directly access your API keys

Automation - friendly - Perfectly supports CI/CD workflows

Limitations

Requires basic knowledge of Fastly API to fully utilize

Currently in the testing phase, with potentially limited functionality

Requires running the MCP server locally

How to Use

Get a Fastly API Key

Install the Fastly CLI

Install the Fastly command - line tool according to the official guide

Configure the AI Assistant

Add the Fastly MCP server configuration in the MCP settings of the AI assistant

Usage Examples

Query the service list

Quickly view the basic information of all Fastly services in the account

Analyze traffic patterns

Get the traffic data of the service in the past week

Create a performance dashboard

Generate an interactive performance dashboard for the specified service

Frequently Asked Questions

Is my API key secure?

What prerequisites are required?

How long does it take for changes to take effect?

Related Resources

Fastly API Documentation

Official Fastly API reference documentation

Model Context Protocol

Official introduction to the MCP protocol

Fastly Getting Started Guide

Quick start for Fastly services

🚀 Fastly: CDN and Edge Computing Platform

Fastly is a leading Content Delivery Network (CDN) and edge computing platform, offering high - performance internet services to global enterprises. Through Fastly's API - first design and Model Context Protocol (MCP), developers can seamlessly integrate with AI assistants to perform advanced operations and optimizations on Fastly services.

🚀 Quick Start

Prerequisites

Fastly Account and API Key: Visit Fastly's official website to register and obtain an API Key.
AI Assistant Supporting MCP: Such as Claude or a GPT model with plugins configured.
Fastly CLI Tool: Install and configure it according to the official guide.

AI Assistant Connection Settings

Add the following content to your AI assistant configuration:

{
  "mcpServers": {
    "fastly": {
      "command": "node",
      "args": ["path/to/fastly-mcp.mjs"],
      "env": {
        "FASTLY_API_KEY": "your_fastly_api_key"
      }
    }
  }
}

💻 Usage Examples

Basic Usage

The above configuration in the "Quick Start" section is the basic way to connect the AI assistant to Fastly services.

Advanced Usage

Task Objective	Example AI Request
Optimize service configuration based on traffic	"Analyze the configuration of `[service_id/name]` and provide optimization suggestions based on its traffic characteristics, with a priority on low latency."
Set up real - time video transmission	"Configure `[service_id/name]` for optimal real - time video streaming settings, referring to `[best - practice link]`."
Detect configuration conflicts	"Identify potential configuration conflicts between `[service_id/name]` and the standard e - commerce delivery model."
Optimize video segment caching	"Optimize the caching strategy of `[service_id/name]` to efficiently handle 10 - second video segments and reduce the load on the origin server."
Enhance WAF security	"Review the WAF rules of `[service_id/name]` and suggest stricter settings to prevent SQL injection attacks."
Set up origin - side mTLS authentication	"Implement mutual TLS (mTLS) authentication for `[service_id/name]` to ensure secure communication between Fastly and the origin server."
Deploy edge computing A/B testing	"Deploy a Compute@Edge function on `[service_id/name]` and route 10% of users to the backend `[backend_name]` for A/B testing."
Dynamic image rewriting (VCL)	"Write and deploy VCL code to make `[service_id/name]` dynamically rewrite image URLs based on the user agent."
Troubleshoot 5xx errors	"Analyze the logs of `[service_id/name]` in the past 24 hours to find the root cause of the surge in 5xx errors."