MCP Server (Model Context Protocol)

Name: MCP Server (Model Context Protocol)
Author: profullstack

@profullstack

代码仓库主页

关于 MCP Server (Model Context Protocol)

A generic, modular server for implementing the Model Context Protocol (MCP).

#mcp-server

基本信息

分类

其他

许可证

ISC

运行时

node

传输方式

stdio

发布者

profullstack

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-server-profullstack": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp-server",
        "."
      ]
    }
  }
}

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 (Model Context Protocol)?

A generic, modular server for implementing the Model Context Protocol (MCP). It provides a framework for controlling and interacting with various AI models through a standardized API, supporting text generation, image generation, and speech-to-text.

How to use MCP Server (Model Context Protocol)?

Install Node.js 18+ and pnpm 10+, clone the repository, run pnpm install, then start with pnpm start or pnpm dev (default port 3000). Copy sample.env to .env and add API keys for your chosen providers. Docker is also supported via docker build and docker-compose up.

Key features of MCP Server (Model Context Protocol)

Modular architecture for easy extension and dynamic module loading
Integration with OpenAI, Stability AI, Anthropic, and Hugging Face
Support for text generation, image generation, and speech-to-text
Streaming inference for compatible models
Standard MCP methods for model management and inference
Comprehensive testing infrastructure with Mocha and Chai
Module search and metadata display

Use cases of MCP Server (Model Context Protocol)

Build a unified API layer for multiple AI model providers
Create custom AI tools with dynamic module loading and dependency management
Deploy a lightweight inference server for text, image, or audio models
Develop and test MCP-compatible modules with built-in search and metadata
Run containerized AI services with Docker health checks and volume mounts

FAQ from MCP Server (Model Context Protocol)

Which model providers are supported?

The server integrates with OpenAI (GPT, Whisper), Stability AI (Stable Diffusion), Anthropic (Claude), and Hugging Face (custom models).

What are the runtime requirements?

Node.js 18.x or higher and pnpm 10.x or higher are required. The project uses ES Modules exclusively.

How do I get API keys for the providers?

API keys can be obtained from OpenAI (platform.openai.com), Stability AI (platform.stability.ai), and Anthropic (console.anthropic.com). They are configured in the .env file.

Is Docker deployment supported?

Yes. A Dockerfile and docker-compose.yml are provided. The container uses Node.js 20 Alpine, exposes port 3000, and mounts the modules directory.

How can I create a custom module?

Modules follow a structured layout with src/, test/, and a package.json. Use the pnpm create-module script to scaffold a new module, then implement the register function in index.js.