Project Description

This project is a Node.js application for Windows OS called MCP Server. It serves as a local middleware for seamless communication between LLM-based tools (e.g., Copilot Agents). The server is designed to be run locally, ideally alongside an IDE like Visual Studio Code or Visual Studio.

MCP Server uses the third-party library @modelcontextprotocol/sdk, which allows you to run and test it in a web browser using the Inspector tool.

The project includes a predefined ./data directory that contains documentation and guide files used to assist with coding. Additionally, a ./data/prompts subfolder contains prompt files used by Copilot Agents to guide their behavior and output.

Configuration

Set the following environment variables:

• GUIDE_FILES_DIR: Path to the directory containing your local guide files (e.g., .\\data).

• PROMPT_DIR: Path to your prompt directory (e.g., .\\dat\\prompts). Prompt files must be .txt files and start with the prefix prompt_.

You can set these variables in a .env file or pass them directly in the terminal when running the app. Keep in mind having dobule "\" in your path names.

Example

💡 The paths should directly point to the folders where your guide and prompt files are located. It’s recommended to create a prompts subfolder under data.

Features

There are 3 build-in tools which you can use:

• ListAvailableFilesTool – Lists all .txt files located in the data directory.

• ListPromptsTool – Lists all prompt files located in the data/prompts directory.

• ReadLocalFileTool – Reads and returns the content of a file from either data or data/prompts, depending on the file prefix.

Usage

1. Install dependencies:

   npm install

2. Configure environment variables using a .env file or directly in the terminal.

3. Build the project:

   npm run build

4. Run the server for browser testing:

   npx @modelcontextprotocol/inspector build/index.js

5. Use the MCP-compatible client (like Copilot for Visual Studio Code) to interact with the server.

Usage with Visual Studio Code

To integrate with Copilot:

1. Create a .vscode directory in your project.

2. Add a mcp.json file with the following content:

3. Follow the instructions from the official documentation to enable MCP support in VS Code.

4. Start your server if is disabled with a command: ctrl+shift+p MCP:List Servers -> next chose you server Name and click action [""Start","Stop","Restart"]

5. You should see MCP server Logs in OUTPUT terminal: 2025-05-30 08:35:10.855 [warning] [server stderr] ✅ Local MCP server running on stdio 2025-05-30 08:35:10.864 [info] Discovered 3 tools

⚠️ Make sure you're using the latest or pre-release version of Visual Studio Code that supports Agents.

Example prompt using guide files and custom prompts: You can find more examples in "../docs/VisualCode_Copilot_Examples"

Customization

You can extend this project by adding your own guide or prompt files:

• Add a guide file: Create a .txt file with the prefix guide_ and place it in the folder defined by GUIDE_FILES_DIR.

• Add a prompt file: Create a .txt file with the prefix prompt_ and place it in the folder defined by PROMPT_DIR.

You can also develop custom tools:

1. Create a new YourTool.ts file in the src/tools directory.

2. Register the tool in localMcpServer.ts.

3. Rebuild the project before running tests.

License

This project is licensed under the MIT License.