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Kayzen Analytics MCP Server

by springwq
npmGitHub
TypeScript
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Kayzen Analytics MCP Server

A Model Context Protocol (MCP) server implementation for interacting with Kayzen Analytics API. This package enables AI models to access and analyze Kayzen advertising campaign data through a standardized interface.

Features

  • Automated Authentication: Built-in token management with automatic refresh mechanism

  • Report Management: Easy access to Kayzen analytics reports

  • Error Handling: Comprehensive error handling for API interactions

  • TypeScript Support: Full TypeScript implementation with type definitions

  • Environment Based Configuration: Simple setup using environment variables

Installation

npm install @feedmob-ai/kayzen-mcp

Configuration

Create a .env file with your Kayzen credentials:

KAYZEN_USERNAME=your_username KAYZEN_PASSWORD=your_password KAYZEN_BASIC_AUTH=your_basic_auth_token KAYZEN_BASE_URL=https://api.kayzen.io/v1 # Optional, defaults to this value

Usage

Basic Setup

import { KayzenMCPServer } from '@feedmob-ai/kayzen-mcp'; const server = new KayzenMCPServer(); server.start();

Available Tools

1. list_reports

Lists all available reports from Kayzen Analytics.

  • Inputs: None

  • Returns: Array of report objects containing:

    • id: Report identifier

    • name: Report name

    • type: Report type

const reports = await server.tools.list_reports();

2. get_report_results

Retrieves results for a specific report.

  • Inputs:

    • report_id (string, required): ID of the report to fetch

    • start_date (string, optional): Start date in YYYY-MM-DD format

    • end_date (string, optional): End date in YYYY-MM-DD format

  • Returns: Report data and metadata

const results = await server.tools.get_report_results({ report_id: 'report_id', start_date: '2024-01-01', // optional end_date: '2024-01-31' // optional });

3. analyze_report_results (Prompt)

Analyzes report results and provides insights.

  • Inputs:

    • report_id (string): ID of the report to analyze

  • Analysis includes:

    • Performance metrics

    • Key trends

    • Areas for optimization

    • Unusual patterns or anomalies

Setup

Usage with Claude Desktop

To use this with Claude Desktop, add the following to your claude_desktop_config.json:

NPX

{ "mcpServers": { "github": { "command": "npx", "args": [ "-y", "@feedmob-ai/kayzen-mcp" ], "env": { "KAYZEN_USERNAME": "username", "KAYZEN_PASSWORD": "pasword", "KAYZEN_BASIC_AUTH": "auth token" } } } }

Development

Prerequisites

  • Node.js (v16 or higher)

  • npm (v7 or higher)

  • Kayzen API credentials

Scripts

# Install dependencies npm install # Build the project npm run build # Start the server npm start # Development mode with hot-reload npm run dev

Project Structure

kayzen-mcp/ ├── src/ │ ├── server.ts # MCP server implementation │ └── kayzen-client.ts # Kayzen API client ├── dist/ # Compiled JavaScript └── package.json # Project configuration

Dependencies

Main dependencies:

  • @modelcontextprotocol/sdk: ^1.7.0

  • axios: ^1.8.3

  • dotenv: ^16.4.7

  • zod: ^3.24.2

Error Handling

The server handles various error scenarios:

  • Authentication failures

  • Invalid API requests

  • Network issues

  • Token expiration and refresh

  • Invalid parameters

License

MIT License

Author

FeedMob

Deploy Server
-
security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

An implementation that enables AI models to access and analyze Kayzen advertising campaign data through a standardized interface with features like automated authentication and report management.

  1. Features
    1. Installation
      1. Configuration
        1. Usage
          1. Basic Setup
        2. Available Tools
          1. 1. list_reports
          2. 2. get_report_results
          3. 3. analyze_report_results (Prompt)
        3. Setup
          1. Usage with Claude Desktop
          2. NPX
        4. Development
          1. Prerequisites
          2. Scripts
        5. Project Structure
          1. Dependencies
            1. Error Handling
              1. License
                1. Author

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