MCP Server (Model Context Protocol)

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

@profullstack

リポジトリホームページ

MCP Server (Model Context Protocol) について

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

#mcp-server

基本情報

カテゴリ

その他

ライセンス

ISC

ランタイム

node

トランスポート

stdio

公開者

profullstack

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

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