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MCP Server (MCP)

@profullstack

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基本情報

カテゴリ

その他

ライセンス

ISC

トランスポート

stdio

作者

profullstack

MCP Server について

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

#mcp-server

MCP Server の設定

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",
        "."
      ]
    }
  }
}

MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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

よくある質問

1

Which model providers are supported?

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

2

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.

3

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.

4

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.

5

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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