The FastlyMCP server enables integration of Fastly's platform with AI assistants through the Model Context Protocol (MCP), letting you:
Provides access to Fastly's API for managing CDN services, controlling caching, configuring security, monitoring performance, implementing edge logic, and automating workflows. Enables operations like listing services, viewing domain details, purging cache, checking traffic patterns, viewing configurations, and monitoring performance metrics.
Fastly MCP brings the power of Fastly's API directly to your AI assistants through the Model Context Protocol (MCP).
Fastly's API-first design philosophy means:
Fastly's comprehensive API allows you to:
The AI assistant never sees your Fastly API key. It talks to a local helper (FastlyMCP) which uses the key securely.
With Fastly MCP configured, you can ask your AI assistant questions like:
| What You Want To Do | Example AI Request |
|---|---|
| List your services | "Show me all my Fastly services" |
| Get domain details | "What domains are configured for my e-commerce service?" |
| Purge cache | "Purge the cache for my product service" |
| Check traffic | "What's the traffic pattern for my main site over the last week?" |
| View configuration | "Show me the backend servers for my API service" |
| Check performance | "What's my current cache hit ratio?" |
Configure your AI assistant with:
| Task Goal | Example AI Request |
|---|---|
| Optimize service based on traffic | "Analyze the configuration for [service_id/name] and suggest optimizations based on its traffic profile, prioritizing low latency." |
| Configure for live video | "Configure [service_id/name] for optimal live video streaming following the best practices outlined in [link_to_guide_or_doc]." |
| Find config conflicts | "Identify potential configuration conflicts in [service_id/name] compared to standard e-commerce delivery patterns." |
| Optimize video chunk caching | "Optimize caching for [service_id/name] to handle 10-second video chunks efficiently, minimizing origin load." |
| Enhance WAF security | "Review the WAF rules for [service_id/name] and suggest stricter settings to mitigate potential SQL injection attacks." |
| Set up origin mTLS | "Set up Mutual TLS (mTLS) authentication between Fastly and the origin servers for [service_id/name]." |
| Implement A/B testing (Edge) | "Deploy a Compute@Edge function to [service_id/name] that performs A/B testing by routing 10% of users to backend [backend_name]." |
| Add dynamic image rewriting (VCL) | "Write and deploy VCL for [service_id/name] to dynamically rewrite image URLs based on the requesting device's user agent." |
| Troubleshoot 5xx errors | "Analyze logs for [service_id/name] from the past 24 hours to identify the root cause of the recent spike in 5xx errors." |
This project is licensed under the MIT License - see the LICENSE file for details.
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hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Enables AI assistants to interact with Fastly's CDN API through the Model Context Protocol, allowing secure management of CDN services, caching, security settings, and performance monitoring without exposing API keys.
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