Code Analysis Server
Enable AI models to explore and analyze codebases through natural language conversations.
Installation
Installing for Claude Desktop
Manual Configuration Required
This MCP server requires manual configuration. Run the command below to open your configuration file:
npx mcpbar@latest edit -c claude
This will open your configuration file where you can add the Code Analysis Server MCP server manually.
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.
Stars
15Forks
2Last commit
5 months agoRepository age
5 months
Auto-fetched from GitHub .
MCP servers similar to Code Analysis Server:

Stars
Forks
Last commit

Stars
Forks
Last commit

Stars
Forks
Last commit