MCP Code Assistant

@kiranimmadi2

Basic information

About MCP Code Assistant

MCP-Based AI Code Analysis Tool: Enables LLM agents to interact with, analyze, and debug codebases via structured MCP tool calls — scanning project structure, extracting code elements, and detecting Python anti-patterns.

#mcp #code-assistant#python-tool

MCP Code Assistant config

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

{
  "mcpServers": {
    "mcp-server-kiranimmadi2": {
      "command": "python",
      "args": [
        "mcp.py",
        "/path/to/your/project",
        "[options]"
      ]
    }
  }
}

MCP Code Assistant 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 🧠 MCP Code Assistant?

🧠 MCP Code Assistant is an AI‑powered developer tool built on the Model Context Protocol (MCP). It enables LLM agents to scan, analyze, and debug codebases through structured MCP tool calls, exposing project structure, code elements (classes, functions, imports), and Python anti‑pattern detection – without requiring manual context injection.

How to use 🧠 MCP Code Assistant?

Clone the repository and run python mcp.py /path/to/your/project with command‑line options such as --scan, --structure, --analyze <file>, --search <regex>, or --bugs. It can also be imported as a Python library (from mcp import MCP) to produce structured outputs for LLM consumption.

Key features of 🧠 MCP Code Assistant

Scans entire project structure and identifies all code files
Extracts classes, functions, imports, and global variables from Python files
Searches codebase for patterns using regular expressions
Detects common Python bugs and anti‑patterns
Updates file content programmatically
Works with pure Python standard library – no external dependencies

Use cases of 🧠 MCP Code Assistant

AI agents navigate and understand an unfamiliar codebase autonomously
Automated code review: detect bugs and anti‑patterns across Python files
LLM‑powered refactoring: analyze and modify code via structured tool calls
Continuous project mapping: generate up‑to‑date structure and element overviews

Frequently asked questions

What are the system requirements?

Python 3.6 or higher; no external libraries are needed – only the Python standard library is used.

How do I install it?

Clone the repository from GitHub (`git clone https://github.com/kiranimmadi2/MCP-Server.git`) and change into the `MCP-Server` directory.

Can 🧠 MCP Code Assistant analyze non‑Python files?

Currently, analysis (extracting classes, functions, imports, and bug detection) is focused on Python files. Support for JavaScript and TypeScript is listed on the roadmap.

Is it a full MCP server now?

The current version exposes functionality via CLI and as a Python library. The roadmap includes implementing full MCP server mode with JSON‑RPC tool registration and LLM agent integration examples.

What license is used?

The project is released under the MIT License.

Comments

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