Fastly

Provides programmatic access to Fastly CDN, caching, security, and edge logic via MCP for AI assistants.
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4 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "jackwrichards-fastlymcp": {
      "command": "node",
      "args": [
        "path/to/fastly-mcp.mjs"
      ],
      "env": {
        "FASTLY_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Fastly MCP lets your AI assistant access Fastly’s API through a local, secure MCP bridge. It provides programmatic control over services, caching, security, and edge logic, while keeping your API key safe from the assistant by routing requests through a local helper.

How to use

You use this server by running a local MCP bridge with Node.js and wiring your MCP-capable AI assistant to talk to it. The bridge securely holds your Fastly API key and exposes a stable MCP endpoint for your assistant to request actions like listing services, purging caches, querying performance metrics, and inspecting edge configurations. You interact with the MCP server by invoking your assistant’s MCP-enabled tools and asking it to perform common Fastly tasks. Use clear, action-oriented requests such as asking to purge a specific service’s cache or to fetch the current cache hit ratio for a service.

What you can do with Fastly MCP

With Fastly MCP configured, your AI assistant can help you with core Fastly capabilities, including managing CDN services, controlling caching, configuring security, monitoring performance, deploying edge logic, and automating workflows.

Available tools

list_services

Query and list all configured Fastly services.

get_domain_details

Retrieve domain configurations for a specified service.

purge_cache

Purge cache for a given service or path to ensure fresh content.

check_traffic

Analyze traffic patterns and generate reports for a period you specify.

view_configuration

Display backend servers and other service configuration details.

check_performance

Fetch performance metrics such as cache hit ratio and latency.

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