Code Analysis MCP Server

A Model Context Protocol (MCP) server that enables AI models to understand and analyze codebases through natural language conversations.

✨ Highlights

Natural Code Exploration: Ask high-level questions about your codebase
"What are all the different payment providers integrated in the system?"
Deep Code Understanding: Extract insights about data models and system architecture
"How does the user authentication flow work from frontend to database?"
Dynamic Analysis: Trace data flows and understand system relationships
"Show me all the places where we calculate transaction fees"

Limitations

This tool is a simpler alternative to more sophisticated code analysis tools / copilot like Aider. While it lacks the advanced code analysis capabilities and robustness of tools like Aider, it offers a lightweight solution for codebase exploration if you already have a Claude Pro subscription. The main advantages are:

Cost-Effective: Using your existing Claude Pro subscription means no additional API costs, unlike tools that can get expensive when analyzing large codebases
Simple Setup: Quick to get started with minimal configuration
Basic Analysis: Good for high-level code understanding and exploration

Note that due to its simpler approach to code analysis, it may make more errors or provide less detailed insights compared to more specialized tools.

🚀 Quick Start

Install the server:

git clone https://github.com/saiprashanths/code-analysis-mcp.git
cd code-analysis-mcp

Install Claude Desktop App. For more instructions on setting up an MCP Server with Claude Desktop app, see docs
Configure the server in Claude Desktop's configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "code-analysis": {
      "command": "uv",
      "args": [
        "--directory",
        "/PATH/TO/YOUR/REPO",
        "run",
        "code_analysis.py"
      ]
    }
  }
}

Restart Claude Desktop and start analyzing your code!
Ensure the tool is correctly setup

Clicking the tools icon should display the code-analysis tools

Clicking the integrations button should display the analyze_code_repository prompt

💡 Example Usage

Here's how you might use the tool to understand a complex codebase:

Start by clicking on the analyze_code_repository prompt shown below. That will guide you through the process to initialize the repo and get started.

You: How does the transaction processing work in this system?

Claude: Let me analyze the data flow for transactions. 
Looking at the codebase, I can see that transaction processing happens through several key components:

1. Raw transaction data is captured in the `TransactionEvent` model with fields for:
   - Payment status
   - Amount
   - Fee calculations
   - Processing timestamps

2. This data is then processed through the PaymentSummary model, which:
   - Validates payment provider responses
   - Calculates processing fees
   - Records transaction status

Would you like me to explain any part of this in more detail?

You: What are the key database tables involved?

Claude: The main tables in the transaction processing pipeline are:

1. transaction_events: Stores raw payment events
2. payment_summary: Processed transaction records
3. payment_providers: Provider configuration
4. merchant_accounts: Account-specific settings

Let me know if you'd like to see the schema for any of these tables!

🔧 Available Tools

initialize_repository

Initialize a code repository for analysis:

initialize_repository("/path/to/repo")
# Output: Successfully initialized code repository at: /path/to/repo

get_repo_info

Retrieve information about the initialized repository:

get_repo_info()
# Output:
# Code Repository Information:
# Path: /path/to/repo
# Exists: True
# Is Directory: True
# Found .gitignore file

get_repo_structure

Examine repository file structure:

get_repo_structure(depth=2)
# Output:
# 📁 src/
#   📁 api/
#     📄 routes.py
#     📄 models.py
#   📁 utils/
#     📄 helpers.py
#   📄 main.py

read_file

Read and analyze specific files:

read_file("src/api/models.py")
# Output:
# File: src/api/models.py
# Language: python
# Size: 2.3 KB
# 
# [File contents...]

⚙️ Technical Details

Default scanning depth: 3 levels
Maximum file size: 1MB
Maximum lines per file: 1000
Ignores paths listed in .gitignore
Local file system access only
Validates file paths to prevent directory traversal

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.