MCP Server for Iaptic

📋 Overview:

This webpage provides information about the "mcp-server-iaptic" GitHub repository, a Model Context Protocol (MCP) server designed to facilitate interactions with the Iaptic API. The server enables AI systems like Claude to access and utilize data from Iaptic, including customer details, purchases, transactions, and statistics. The repository includes instructions for installation, configuration, available tools, and development.

⭐ Key Points:
* The "mcp-server-iaptic" acts as an interface between AI models and the Iaptic API.
* It supports querying data related to customers, purchases, transactions and statistics.
* Installation can be performed automatically via Smithery, or manually.
* For use with Claude, the configuration file must be updated with the server details, API key and App Name.

* The repository provides the necessary tools and instructions for local development and production builds.

🔍 Main Findings:
* The repository is public and owned by the "iaptic" organization.
* The codebase is primarily written in TypeScript (82.2%), with JavaScript (15.2%) and Dockerfile (2.6%) also present.
* The project is released under the MIT license.

* The available tools include listing customers, retrieving customer details, listing transactions, retrieving transaction details, statistics and managing Apps.

📊 Details:
* Repository Name: mcp-server-iaptic
* Owner: iaptic
* License: MIT
* Main Language: TypeScript
* Installation:
* Via Smithery: `npx -y @smithery/cli install mcp-server-iaptic --client claude`
* Manual: Requires Node.js (>=18) and Iaptic API credentials.
* Claude configuration:
```json
{
"iaptic": {
"command": "npx",
"args": [
"mcp-server-iaptic",
"--api-key", "your-api-key-here",
"--app-name", "your-app-name-here"
]
}
}
```

* Available Tools: List/Get Customer, List/Get Purchases, List/Get Transactions, List recent events, Get Statistics, Switch/Reset Iaptic App.

🎯 Conclusion:
The "mcp-server-iaptic" repository provides a valuable tool for integrating Iaptic data with AI models, offering functionalities for data retrieval, filtering, and management. The documented installation and development processes facilitate easy deployment and customization for users with Iaptic accounts and Node.js environments.