Akamai MCP Server

Automate Akamai resource actions using a conversational AI client. Requires Akamai API credentials.

GitHub

🔥 Akamai MCP Server with Conversational AI Integration

A lightweight Python-based MCP (Multi-Command Processor) server designed to automate Akamai resource actions, integrated with a conversational AI client for natural language control.

✨ Features

✅ List Akamai Contracts
✅ List Groups within Contracts
✅ List Properties
✅ Filter Properties by Name
✅ Easily extensible for additional Akamai API actions
✅ Controlled via plain English instructions using a local conversational AI client (e.g., Claude Desktop, OpenWebUI, LM Studio)

🛠️ How It Works

The conversational AI client receives your natural language input, translates it into structured commands, and triggers the MCP server. The MCP server interacts with Akamai APIs and returns the result.

⚙️ Setup Instructions

1. Prerequisites

  • Python 3.x
  • Akamai API credentials with appropriate access
  • Local conversational AI client (Claude Desktop recommended for initial setup, but any supporting tool works)

2. MCP Server Configuration

Clone this repo and adjust the MCP server path as needed.

Update the Conversational AI client config:

For Claude Desktop (example path):

{
  "mcpServers": {
    "akamai": {
      "command": "python",
      "args": "/path/to/this/repo/akamai_mcp_server.py",
      "env": {}
    }
  }
}

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