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Simple MCP Server with Node.js

@takehisa10098

Repository

Basic information

Category

Other

Transports

stdio

Author

takehisa10098

About Simple MCP Server with Node.js

No overview available yet

Simple MCP Server with Node.js config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "plot-mcp-server": {
      "command": "node",
      "args": [
        "server.js"
      ]
    }
  }
}

Simple MCP Server with Node.js tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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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