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Simple MCP Server with Node.js

@takehisa10098

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

takehisa10098

Simple MCP Server with Node.js について

概要はまだありません

Simple MCP Server with Node.js 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": {
    "plot-mcp-server": {
      "command": "node",
      "args": [
        "server.js"
      ]
    }
  }
}

Simple MCP Server with Node.js 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 🧠 Simple MCP Server with Node.js?

A prototype MCP (Model Context Protocol) server built with Node.js and Express that interacts with the OpenAI API to simulate a context‑aware assistant, such as one that helps write stories. It allows structuring context with system, user, steps, and resources, and modifying that context via API to affect LLM responses.

How to use 🧠 Simple MCP Server with Node.js?

Clone the repository, install dependencies with npm install, create a .env file with your OpenAI API key, and create a context.json file with initial context. Then create server.js and openai.js as provided, start the server with node server.js, and use curl commands to get context, generate a plot, or add characters.

Key features of 🧠 Simple MCP Server with Node.js

  • Structure context with system, user, steps, and resources
  • Generate story plots via OpenAI API using current context
  • Add characters dynamically through an API endpoint
  • Modify context to see how it affects LLM responses

Use cases of 🧠 Simple MCP Server with Node.js

  • Prototyping an LLM‑powered story writing assistant
  • Experimenting with structured context for LLM interactions
  • Teaching how MCP can be implemented with Node.js and Express

よくある質問

1

What dependencies are required?

Node.js v18+, npm, and an OpenAI API key.

2

How does the server store context?

Context is stored in a local `context.json` file, read from and written to by the server via `fs.readFileSync` and `fs.writeFileSync`.

3

What API endpoints are available?

GET `/context` returns the current context; POST `/step/plot` generates a plot using OpenAI; POST `/update/characters` adds a new character.

4

What transport does the server use?

The server runs on HTTP via Express, listening on port 3000 by default.

5

Is there any authentication?

The server itself has no authentication; the OpenAI API key is stored in the `.env` file and used only when calling the OpenAI API.

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