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Project Description MCP Server

@mpawlikcreatio

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

mpawlikcreatio

Project Description MCP Server について

mcp server for personal use

#mcpcreatioserver#middleware#local-server

Project Description 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": {
    "mcpCreatioServer": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "build/index.js"
      ]
    }
  }
}

Project Description 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。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Project Description?

Project Description is a Node.js application for Windows OS that serves as a local middleware between LLM-based tools (e.g., Copilot Agents) and local files. It is designed to run alongside an IDE like Visual Studio Code or Visual Studio and uses the @modelcontextprotocol/sdk library. The server includes predefined guide and prompt files for assisting with coding in the Creatio environment.

How to use Project Description?

Install dependencies with npm install, set environment variables GUIDE_FILES_DIR and PROMPT_DIR (either via .env file or terminal), then build with npm run build. For browser testing, run npx @modelcontextprotocol/inspector build/index.js. To integrate with Visual Studio Code, create a .vscode/mcp.json file pointing to the built index.js and follow VS Code’s MCP server documentation.

Key features of Project Description

  • Three built‑in tools: ListAvailableFilesTool, ListPromptsTool, ReadLocalFileTool
  • Reads guide files (.txt with prefix guide_) and prompt files (.txt with prefix prompt_)
  • Uses stdio transport for communication with MCP clients
  • Customizable by adding your own guide or prompt files
  • Extensible with custom TypeScript tools in src/tools

Use cases of Project Description

  • Assist Copilot Agents with local documentation and coding guidelines for Creatio
  • Provide structured prompts to control the behavior and output of AI assistants
  • Create and manage a local library of reusable coding instructions and examples
  • Serve as a lightweight, file‑based knowledge base for LLM tools running in VS Code

よくある質問

1

What runtime and OS does Project Description require?

It requires Node.js and is built for Windows OS.

2

How do I add new guide or prompt files?

Create a `.txt` file with the prefix `guide_` in the folder defined by `GUIDE_FILES_DIR`, or a `.txt` file with the prefix `prompt_` in the folder defined by `PROMPT_DIR`.

3

Where are the data files stored?

They are stored in a predefined `./data` directory (guide files) and a `./data/prompts` subdirectory (prompt files). The paths are configurable via environment variables.

4

How can I test the server without an MCP client?

Use the `@modelcontextprotocol/inspector` tool in a web browser by running `npx @modelcontextprotocol/inspector build/index.js`.

5

What transport does the server use and is authentication required?

The server communicates over stdio (as shown in server logs) and no authentication is mentioned in the README.

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