Payram Helper MCP Server
This is an MCP server project aimed at helping developers quickly integrate a self - hosted Payram payment stack. It provides a series of tools to MCP clients such as GitHub Copilot to achieve one - click evaluation of existing codebases, generation of multi - language code snippets, construction of new applications, access to localized documentation, and verification of the connection with the Payram server, thereby accelerating the development process.
rating : 2 points
downloads : 6.7K
What is the Payram Helper MCP Server?
This is a smart server based on the Model Context Protocol (MCP), specifically designed to help developers quickly integrate the Payram payment system. It acts like your AI development assistant, capable of understanding your project requirements, automatically generating correct code, checking configurations, providing documentation, and ensuring that your application can successfully connect to the Payram service.How to use the Payram Helper?
You can use this service through GitHub Copilot or other AI assistants that support the MCP protocol. Simply tell the AI assistant that you want to integrate Payram, and it will automatically call the corresponding tools to help you complete the configuration, generate code, and test the connection. The entire process is as simple as having a conversation with a professional Payram expert.Applicable scenarios
Suitable for developers who need to quickly integrate payment functions, especially teams using self-hosted Payram services. Whether you are creating a new project, transforming an existing application, or need to generate payment code for different programming languages, this tool can significantly improve development efficiency.Main features
Intelligent project assessment
Automatically scan your codebase, analyze configuration files such as package.json and requirements.txt, detect existing frameworks and environment settings, and then provide targeted Payram integration suggestions.
Multi-language code generation
Supports multiple backend frameworks such as Express.js, Next.js, FastAPI, Laravel, Gin, and Spring Boot. One-click generation of complete code for payment, withdrawal, recommendation, and Webhook processing.
Complete application scaffolding
Quickly create a complete demo application including payment, withdrawal, Webhook, and user interface, supporting multiple technology stacks to help you quickly start development.
Localized documentation access
Built-in complete Payram documentation. The AI assistant can directly answer conceptual questions, explain the payment process, the working principle of the recommendation system, etc., without leaving the development environment.
Intelligent connectivity test
Automatically check the environment configuration, verify the connection with the Payram server, provide detailed error information and repair suggestions, and ensure a successful integration at one time.
Guided workflows
Provide step-by-step guidance from project assessment to complete integration. The AI assistant will automatically call the correct sequence of tools to simplify the complex integration process.
Advantages
๐ Significantly accelerate the Payram integration process and reduce manual configuration time.
๐ค Seamlessly collaborate with AI assistants to complete complex operations through natural language.
๐ Support multiple programming languages and frameworks to meet the needs of different technology stacks.
๐ Built-in complete documentation to obtain accurate information at any time during the development process.
๐ง Intelligent error detection and repair suggestions to reduce debugging difficulty.
๐ Automated workflows from assessment to deployment in one go.
Limitations
Requires configuration of an MCP client (such as GitHub Copilot) to use.
Only supports self-hosted Payram services and is not applicable to other payment providers.
Some advanced customization features may require manual adjustment of the generated code.
Requires a Node.js 18+ runtime environment, which has certain requirements for the server.
Documentation updates require manual synchronization of changes in the official Payram documentation.
How to use
Installation and configuration
First, install the necessary dependency packages, and then configure the environment variables. You can copy the template from.env.example or let the AI assistant automatically generate the configuration.
Start the MCP server
Run the development server, which will listen locally and provide both HTTP and SSE transmission methods.
Connect to the AI assistant
Add this server address to your MCP client (such as GitHub Copilot) so that the AI assistant can access the Payram tools.
Start using
Now you can directly talk to the AI assistant and use natural language commands to integrate Payram functions.
Usage examples
Transform an existing project
You have a running e-commerce website and now need to add Payram payment functionality. Use the AI assistant to evaluate the project and automatically generate integration code.
Create a new application
You want to develop a brand - new SaaS application that requires a complete payment, withdrawal, and recommendation system. Use the scaffolding function to quickly start.
Solve connection problems
You are experiencing connection issues with your Payram integration and need to diagnose and fix configuration errors.
Learn Payram concepts
You need to understand how the Payram referral system works in order to correctly implement related functions.
Frequently Asked Questions
Do I need programming experience to use this tool?
Which programming languages does this tool support?
What if my Payram server address or API key changes?
Can the generated code be directly used in a production environment?
What if I encounter a problem that the tool cannot solve?
Does this tool require an Internet connection?
Related resources
Model Context Protocol official documentation
Understand the technical details and working principle of the MCP protocol.
GitHub Copilot MCP configuration guide
How to configure GitHub Copilot to use the MCP server.
Payram official documentation
Complete API reference and concept explanation of the Payram payment system.
Project GitHub repository
Get the latest code, submit issues, and participate in contributions.
Example project collection
Complete Payram integration examples using different frameworks and languages.

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