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# 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…
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# 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…
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- Three built-in tools: ListAvailableFilesTool, ListPromptsTool, ReadLocalFileTool
- Supports custom guide files (prefix guide_) and prompt files (prefix prompt_)
- Works with the @modelcontextprotocol/sdk and can be tested via the Inspector
- Designed for local, offline use with IDEs like VS Code
- Allows developers to create and register custom tools in TypeScript
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Project DescriptionCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install dependencies (npm install), configure the environment variables GUIDE_FILES_DIR and PROMPT_DIR in a .env file, build the project (npm run build), then run it with npx @modelcontextprotocol/inspector build/index.js for browser testing. For integration with Visual Studio Code, create a .vscode/mcp.json file pointing to the built index.js and follow the official MCP documentation.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"project description": {
"mcpLocalServer": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"build/index.js"
]
}
}
}
}
McpServers
{
"mcpLocalServer": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"build/index.js"
]
}
}
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 .env file:
GUIDE_FILES_DIR=C:\\pathToYourProject\\mcpLocalServer\\data\
PROMPT_DIR=C:\\pathToYourProject\\mcpLocalServer\\data\\prompts
> 💡 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:
{
"inputs": [],
"servers": {
"local": {
"command": "node",
"args": ["C:\\pathToMcpLocalServerProjectInYourPC\\build\\index.js"]
}
}
}
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"
Description: 💾 Create C# Class
Prompt text:
Use the local MCP server.
Step 1: Load the prompt file named "prompt_csharp_class_authoring.txt" using the "read_local_file" tool with the argument "fileName".
Step 2: Once the file is loaded, execute all instructions defined in that file. If those instructions require using additional tools, follow them accordingly.
Step 3: After completing all steps from the prompt file, generate a C# (.cs) file with a class named House. The class should contain Windows and Doors properties, and include methods to build them.
Ensure that the implementation follows all guidelines and conventions from the loaded prompt file.
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.
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