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MCP Server - Model Context Protocol Server

A production-ready MCP server that enables Claude to access local code, files, and data with tool-like capabilities, diagnostics, and performance monitoring.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "alpermdr-vscode_mcp_python": {
      "command": "python",
      "args": [
        "mcp_server.py"
      ]
    }
  }
}

You run a local MCP server that lets Claude act as a capable developer agent. It bridges data, code, and local resources with fast, private context, offering tool-like actions you can invoke through natural dialogue while keeping your data on your machine.

How to use

You interact with the MCP server through a client that supports MCP commands. Start the server locally, then tell Claude to read, analyze, modify, or query your codebase and files. Claude will call mapped tools to perform actions such as reading file contents, analyzing code structure, updating code with your approvals, and locating parts of your project structure. You can leverage private data context because everything runs on your machine.

How to install

Prerequisites you need before running the MCP server:

Python 3.8 or higher installed on your system.

Optional: VSCode for VSCode integration features.

Supported operating systems: Windows, Linux, or macOS.

Step-by-step setup

1. Prepare a working directory for the MCP server and its tools.

2. Place the following files in the same directory: mcp_server.py, tools.py, vscode_detector.py, diagnostics.py, performance_monitor.py, languages.json.

3. Ensure your environment is ready to run Python scripts.

4. Start the MCP server locally using the standard start command.

Start the server

python mcp_server.py

Available tools

read_file

Read and return the contents of a specified file in your project.

analyze_code

Analyze code to identify functions, classes, imports, and potential issues with line numbers and context.

write_code_to_project

Write or update code files in the project based on the provided changes and feedback.

change_code

Modify existing code with requested updates, supporting before/after previews.

get_project_structure

Provide an overview of the project structure organized by programming language and directory.