MCP-Server for Programmers

Name: MCP-Server for Programmers
Author: zaizaizhao

@zaizaizhao

代码仓库

关于 MCP-Server for Programmers

一个为程序员学习助力的Model Context Protocol服务器。

#mcp #mcp-server #mcp-prompts

基本信息

分类

其他

运行时

node

传输方式

stdio

发布者

zaizaizhao

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-for-programmer": {
      "command": "npx",
      "args": [
        "mcp-for-programmer"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP-Server for Programmers?

MCP-Server for Programmers is a Model Context Protocol server designed to help programmers understand and learn code. It parses code through prompt templates, providing code explanations, technical stack analysis, and best practice suggestions to assist junior developers in grasping complex code.

How to use MCP-Server for Programmers?

Install via npm (npm install mcp-for-programmer) or clone the repository. Start the server using commands like npx mcp-for-programmer (stdio) or with flags for other transports: --transport sse --port 3322. Create YAML prompt templates in the prompts directory; they are automatically loaded and registered as tools. The server can also be debugged with MCP Inspector.

Key features of MCP-Server for Programmers

Supports multiple transports (stdio, SSE, streamable, HTTP Stream)
YAML prompt templates with variable substitution and conditional rendering
Automatic conversion of prompts into MCP tools
Built-in Express server providing REST API endpoints
Integration with MCP Inspector for easy debugging
Standardized prompt specifications for consistency and maintainability

Use cases of MCP-Server for Programmers

Explain code functionality and implementation details for any programming language
Analyze a project’s technical stack and architecture
Provide code optimization and best practice suggestions
Generate product requirement documents and prototype designs via prompts
Assist junior programmers in rapidly understanding unfamiliar codebases

FAQ from MCP-Server for Programmers

What transports are supported?

The server supports stdio, SSE, streamable, and HTTP Stream transports. Use the appropriate --transport flag when starting.

How do I create a new prompt template?

Create a .yaml file in the prompts directory following the schema defined in prompt-schema.yaml. The file must include a name, description, optional arguments, and messages.

What API endpoints are available?

The built-in Express server provides GET /api/models, POST /api/query, GET /api/prompts, and GET /api/prompts/:filename for querying models and managing prompts.

What are the runtime dependencies?

The project uses TypeScript, Node.js, Express.js, the Model Context Protocol SDK, Rollup for building, YAML parsing, and Zod for validation.

Where is the prompt data stored and is authentication required?

Prompt templates are stored locally as YAML files in the prompts directory. The README does not mention any authentication mechanisms for the server.