Noor Code Assistant

MCP (Model Context Protocol) Server that bridges Claude Desktop with your RAG-powered Code Agent API.

Author LinkedIn YouTube Python

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📋 Overview

This project creates an MCP server that allows Claude Desktop to communicate with your existing RAG Code Agent API running at localhost:8900. When you ask code-related questions in Claude Desktop, it can use this tool to fetch context-aware answers from your codebase.

🎯 Features

• ✅ Seamless integration with Claude Desktop
• ✅ Connects to existing RAG API (/api/chat/rag)
• ✅ Session management for conversation continuity
• ✅ Comprehensive error handling
• ✅ Configurable via environment variables
• ✅ Ready for future agent extensions (SQL, React, Java)

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🏗️ Project Structure

noor_mcp_code_assistant_parent/
├── env_container/              # Virtual environment
│   ├── bin/
│   ├── lib/
│   └── ...
└── noor_mcp_code_assistant/    # Project source
    ├── mcp_server.py           # Main MCP server
    ├── config.py               # Configuration management
    ├── requirements.txt        # Dependencies
    ├── .env.example            # Environment template
    ├── .env                    # Your configuration (git-ignored)
    └── README.md               # This file

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🚀 Quick Start

1️⃣ Create Virtual Environment

Navigate to the parent folder and create the environment:

cd noor_mcp_code_assistant_parent
python3.11 -m venv env_container

Activate the environment:

# Linux/WSL/macOS
source env_container/bin/activate

# Windows PowerShell
.\env_container\Scripts\Activate

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2️⃣ Install Requirements

cd noor_mcp_code_assistant
pip install -r requirements.txt

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3️⃣ Configure Environment Variables

Copy the example file and customize:

cp .env.example .env

Edit .env with your settings:

# Required
RAG_API_BASE_URL=http://localhost:8900
RAG_CHAT_ENDPOINT=/api/chat/rag

# Optional
DEFAULT_SESSION_ID=claude-desktop-session
REQUEST_TIMEOUT=120

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4️⃣ Configure Claude Desktop

Locate your Claude Desktop configuration file:

Windows:

%APPDATA%\Claude\claude_desktop_config.json

(Usually: C:\Users\<YourUsername>\AppData\Roaming\Claude\claude_desktop_config.json)

Add the MCP server configuration:

{
  "mcpServers": {
    "noor-code-assistant": {
      "command": "wsl",
      "args": [
        "-d", "Ubuntu-20.04",
        "--",
        "/home/<your-username>/noor_mcp_code_assistant_parent/env_container/bin/python",
        "/home/<your-username>/noor_mcp_code_assistant_parent/noor_mcp_code_assistant/mcp_server.py"
      ],
      "env": {
        "PYTHONUNBUFFERED": "1"
      }
    }
  }
}

⚠️ Important: Replace <your-username> with your actual WSL username and adjust paths accordingly.

🔍 Find Your WSL Distribution Name

wsl --list --verbose

Use the exact name shown (e.g., Ubuntu-20.04, Ubuntu, etc.)

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5️⃣ Verify Setup

Step 1: Ensure your RAG API is running:

# In WSL terminal
cd /path/to/your/rag-project
source env_container/bin/activate
uvicorn main:app --reload --port 8900

Step 2: Test the RAG API:

curl -X POST http://localhost:8900/api/chat/rag \
  -H "Content-Type: application/json" \
  -d '{"session_id": "test", "message": "hello"}'

Step 3: Restart Claude Desktop completely (check system tray)

Step 4: The noor-code-assistant tool should now appear in Claude Desktop!

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💬 Usage Examples

Once configured, you can ask Claude Desktop:

"Use the code assistant to create a C# function that gets employee requests by employee ID"

"Ask the code assistant how pagination is implemented in my project"

"Use code_assistant to show me the DTO structure for Employee entity"

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🔮 Adding Future Agents

When you're ready to add more agents (SQL, React, Java):

Step 1: Add endpoints to your RAG API

@app.post("/api/sql/agent")
async def sql_agent(request: SQLAgentRequest):
    # Your SQL agent logic
    pass

Step 2: Update .env

SQL_AGENT_ENDPOINT=/api/sql/agent

Step 3: Uncomment tool definitions in mcp_server.py

Look for the commented sql_agent tool and handler, then uncomment them.

Step 4: Restart Claude Desktop

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🐛 Troubleshooting

Issue	Solution
MCP server not appearing	Check Claude Desktop logs at %APPDATA%\Claude\logs\
Connection refused	Ensure RAG API is running on localhost:8900
WSL path issues	Use full Linux paths (e.g., /home/user/...)
Python not found	Use full path to Python in venv
Timeout errors	Increase REQUEST_TIMEOUT in .env

📋 View Logs

Claude Desktop Logs:

C:\Users\<YourUsername>\AppData\Roaming\Claude\logs\

Test MCP Server Standalone:

cd noor_mcp_code_assistant
source ../env_container/bin/activate
python mcp_server.py

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📊 Configuration Reference

Variable	Default	Description
RAG_API_BASE_URL	http://localhost:8900	Base URL of your RAG API
RAG_CHAT_ENDPOINT	/api/chat/rag	Chat endpoint path
DEFAULT_SESSION_ID	claude-desktop-session	Default session for continuity
REQUEST_TIMEOUT	120	API timeout in seconds

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🔐 Security Notes

• This MCP server only makes outbound HTTP requests to your local RAG API
• No sensitive data is stored or logged
• Session IDs are used only for conversation context
• All communication happens over localhost

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📄 License

MIT License - Feel free to use and modify!

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👨‍💻 Author

Noor Uddin

• 🎥 YouTube: Noor Codelogics
• 💼 LinkedIn: Noor Uddin
• 🛒 CodeCanyon: 180+ Sales

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🌟 Support

If you find this helpful, please:

• ⭐ Star the repository
• 📺 Subscribe to Noor Codelogics
• 🔗 Share with fellow developers

Happy Coding! 🚀