Live NSE BSE MCP

Indian Stock Exchange MCP Server

This server provides access to live market data from Indian Stock Exchanges (BSE & NSE) through the Model Context Protocol (MCP), powered by IndianAPI.

🚀 Quick Start

Prerequisites

• Python 3.8+
• pip (Python package installer)
• API Key from IndianAPI: Sign up at https://indianapi.in/ and obtain an API key for the Stock Market API

Installation

> Note: This package is not yet published to PyPI. Please use source installation for now.

Option 1: Quick Install from Source (Recommended)

git clone https://github.com/GirishKumarDV/Live-NSE-BSE-MCP.git
cd Live-NSE-BSE-MCP
pip install -e .

Option 2: Development Installation

git clone https://github.com/GirishKumarDV/Live-NSE-BSE-MCP.git
cd Live-NSE-BSE-MCP
pip install -r requirements.txt
pip install -e .

Option 3: Manual Execution (No Installation)

If you prefer not to install the package:

git clone https://github.com/GirishKumarDV/Live-NSE-BSE-MCP.git
cd Live-NSE-BSE-MCP
pip install -r requirements.txt
# Run directly with: python -m ise_mcp.server

Important: Since the package isn't on PyPI yet, use module execution (python -m ise_mcp.server) or install from source for the console scripts to work.

Configuration

1. Get your API key:

• Visit https://indianapi.in/
• Sign up for a free account
• Navigate to the Stock Market API section
• Subscribe to get your API key

1. Configure environment variables:

```bash # Copy the example environment file cp env.example .env

# Edit .env and add your IndianAPI key # ISEAPIKEY=yourindianapikey_here ```

Usage

HTTP Server Mode (for web clients like Cursor, VSCode, Dify)

After installation, you can run the server in several ways:

Method 1: Module Execution (Recommended)

# From the project root directory
python -m ise_mcp.server

Method 2: Using Batch Script (Windows)

# Use the provided batch script (note the .\ prefix for PowerShell)
.\ise-mcp-server.bat

# Or with environment variables
$env:ISE_HTTP_PORT=9000; .\ise-mcp-server.bat

Method 3: Development Mode

# If not installed, run as module from parent directory
cd ..
python -m ise_mcp.server

Note: Console scripts from PyPI (ise-mcp-server) are not available yet. Use module execution or the batch script instead.

The server will start on http://localhost:8000 by default.

Stdio Mode (for direct MCP clients like Claude Desktop)

Method 1: Module Execution (Recommended)

# From the project root directory
python -m ise_mcp.stdio_server

Method 2: Using Batch Script (Windows)

# Use the existing batch script (note the .\ prefix for PowerShell)
.\ise-mcp-stdio.bat

Note: Console scripts from PyPI (ise-mcp-stdio) are not available yet. Use module execution or the batch script instead.

Important: Do NOT run the server files directly (e.g., python server.py) as this will cause import errors. Always use the console scripts or module execution.

🔧 Configuration

The server uses environment variables for configuration. Create a .env file in the project root with the following variables:

# Required: API Key from IndianAPI (https://indianapi.in/)
ISE_API_KEY=your_indianapi_key_here

# Optional: API Base URL (default: https://stock.indianapi.in/)
ISE_API_BASE_URL=https://stock.indianapi.in/

# Optional: Server configuration
ISE_HTTP_HOST=0.0.0.0
ISE_HTTP_PORT=8000
ISE_REQUEST_TIMEOUT=30
ISE_LOG_LEVEL=INFO

Important: The ISE_API_KEY is required and the server will not start without it. Make sure to add your .env file to .gitignore to prevent committing sensitive information.

🌐 Client Integrations

Claude Desktop Integration

Claude Desktop uses the stdio transport for direct MCP communication.

Step 1: Install the Server

Since the package isn't on PyPI yet, install from source:

git clone https://github.com/GirishKumarDV/Live-NSE-BSE-MCP.git
cd Live-NSE-BSE-MCP
pip install -e .

Step 2: Configure Claude Desktop

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

Choose one of the following configuration methods based on your setup:

Option 1: Using Virtual Environment Python (Most Reliable)

If you have a virtual environment with dependencies installed:

{
  "mcpServers": {
    "ise-mcp": {
      "command": "C:\\path\\to\\your\\project\\venv\\Scripts\\python.exe",
      "args": ["-m", "ise_mcp.stdio_server"],
      "cwd": "C:\\path\\to\\your\\project",
      "env": {
        "ISE_API_KEY": "your_indianapi_key_here"
      }
    }
  }
}

Option 2: Using PYTHONPATH (Recommended Fallback)

{
  "mcpServers": {
    "ise-mcp": {
      "command": "python",
      "args": ["-m", "ise_mcp.stdio_server"],
      "cwd": "C:\\path\\to\\your\\project",
      "env": {
        "ISE_API_KEY": "your_indianapi_key_here",
        "PYTHONPATH": "C:\\path\\to\\your\\project"
      }
    }
  }
}

Option 3: Using Batch Script (Windows)

{
  "mcpServers": {
    "ise-mcp": {
      "command": "C:\\path\\to\\your\\project\\ise-mcp-stdio.bat",
      "cwd": "C:\\path\\to\\your\\project",
      "env": {
        "ISE_API_KEY": "your_indianapi_key_here"
      }
    }
  }
}

Option 4: Direct File Execution

{
  "mcpServers": {
    "ise-mcp": {
      "command": "python",
      "args": ["ise_mcp/stdio_server.py"],
      "cwd": "C:\\path\\to\\your\\project",
      "env": {
        "ISE_API_KEY": "your_indianapi_key_here",
        "PYTHONPATH": "C:\\path\\to\\your\\project"
      }
    }
  }
}

Option 5: Using PowerShell (if execution policies allow)

{
  "mcpServers": {
    "ise-mcp": {
      "command": "powershell",
      "args": ["-Command", "cd 'C:\\path\\to\\your\\project'; python -m ise_mcp.stdio_server"],
      "env": {
        "ISE_API_KEY": "your_indianapi_key_here"
      }
    }
  }
}

Option 6: After Global Installation

If you've installed the package globally with pip install -e .:

{
  "mcpServers": {
    "ise-mcp": {
      "command": "python",
      "args": ["-m", "ise_mcp.stdio_server"],
      "env": {
        "ISE_API_KEY": "your_indianapi_key_here"
      }
    }
  }
}

macOS/Linux Equivalents:

For macOS/Linux, replace Windows paths with Unix-style paths:

• C:\\path\\to\\your\\project becomes /path/to/your/project
• venv\\Scripts\\python.exe becomes venv/bin/python
• Use forward slashes / instead of backslashes \\

Notes:

• Replace C:\\path\\to\\your\\project with your actual project path
• Replace your_indianapi_key_here with your actual API key from IndianAPI
• Try options in order - Option 1 (virtual environment) is most reliable
• If one doesn't work, try the next option

Step 3: Restart Claude Desktop

After saving the configuration, restart Claude Desktop. You should see the ISE MCP tools available in your chat.

Testing Claude Integration

Once configured, you can ask Claude:

• "Show me trending stocks in the Indian market"
• "Get me data for Reliance Industries"
• "What are the top gainers today?"

VSCode Integration

VSCode can use the HTTP transport to connect to the MCP server.

Step 1: Install MCP Extension

Install an MCP-compatible extension in VSCode or use the built-in MCP support if available.

Step 2: Start the HTTP Server

Clone and setup the server first:

# Clone the repository
git clone https://github.com/GirishKumarDV/Live-NSE-BSE-MCP.git
cd Live-NSE-BSE-MCP

# Install dependencies  
pip install -r requirements.txt

# Start the server
python -m ise_mcp.server

Step 3: Configure VSCode

Add to your VSCode settings.json:

{
  "mcp.servers": {
    "ise-mcp": {
      "url": "http://localhost:8000/jsonrpc",
      "type": "http"
    }
  }
}

Step 4: Set Environment Variables

Ensure your ISE_API_KEY is set:

# In your terminal before starting VSCode
export ISE_API_KEY=your_indianapi_key_here
code .

Cursor Integration

Cursor supports MCP through HTTP transport.

Step 1: Start the HTTP Server

Clone and setup the server first:

# Clone the repository
git clone https://github.com/GirishKumarDV/Live-NSE-BSE-MCP.git
cd Live-NSE-BSE-MCP

# Install dependencies  
pip install -r requirements.txt

# Start the server
python -m ise_mcp.server

Step 2: Configure Cursor

In Cursor, go to Settings → Extensions → MCP and add:

• Server URL: http://localhost:8000/jsonrpc
• Server Type: HTTP JSON-RPC

Step 3: Environment Setup

Make sure your API key is configured in your .env file:

ISE_API_KEY=your_indianapi_key_here

Testing Cursor Integration

You can now ask Cursor's AI:

• "Use the ISE MCP to get stock data for TCS"
• "Show me the most active stocks on NSE"

Other MCP Clients

HTTP Transport (Web Clients)

For any HTTP-based MCP client:

• URL: http://localhost:8000/jsonrpc
• Type: HTTP JSON-RPC 2.0
• Content-Type: application/json

Stdio Transport (Command Line)

For stdio-based MCP clients:

# Clone and setup first
git clone https://github.com/GirishKumarDV/Live-NSE-BSE-MCP.git
cd Live-NSE-BSE-MCP
pip install -r requirements.txt

# Direct stdio connection
python -m ise_mcp.stdio_server

# Or with environment variables
ISE_API_KEY=your_key python -m ise_mcp.stdio_server

Dify Integration

Dify can connect using HTTP transport:

• URL: http://localhost:8000/jsonrpc
• Type: MCP over HTTP
• Headers: Content-Type: application/json

Available Tools

The server provides the following tools for accessing Indian stock market data:

Market Data Tools

• get_stock_data - Get detailed financial data for a specific company
• get_trending_stocks - Get trending stocks with top gainers and losers
• get_52_week_high_low - Get stocks with highest and lowest prices in the last 52 weeks
• get_nse_most_active - Get most active stocks on NSE by trading volume
• get_bse_most_active - Get most active stocks on BSE by trading volume
• get_price_shockers - Get stocks with significant price changes

Research Tools

• search_industry - Search for companies within a specific industry
• get_analyst_recommendations - Get analyst target prices and recommendations
• get_stock_forecasts - Get detailed forecast information for a stock
• get_historical_data - Get historical stock data with various filters
• get_historical_stats - Get historical statistics for a stock

Investment Tools

• search_mutual_funds - Search for mutual funds
• get_mutual_funds - Get latest mutual fund data with NAV and returns
• get_commodities - Get real-time commodity futures data

🔗 API Endpoints

Health Check

GET http://localhost:8000/health

Server Information

GET http://localhost:8000/info

MCP JSON-RPC

POST http://localhost:8000/jsonrpc

📝 Example Usage

Get Stock Data

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "get_stock_data",
    "arguments": {
      "name": "Reliance"
    }
  },
  "id": 1
}

Get Trending Stocks

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "get_trending_stocks",
    "arguments": {}
  },
  "id": 2
}

🛠️ Development & Testing

Running Tests

The project includes several test files for different aspects of functionality:

1. Tool Testing

# Test individual MCP tools functionality
python tests/test_tools.py

2. Connection Testing

# Test basic HTTP connections and API responses
python tests/test_connection.py

3. Clean Tools Testing

# Test tool validation and clean responses
python tests/test_clean_tools.py

4. VSCode Integration Testing

# Test VSCode MCP integration
python tests/test_vscode_connection.py

5. Run All Tests

# If you have pytest installed (recommended)
pytest tests/

# Or run all test files manually
python tests/test_tools.py && python tests/test_connection.py && python tests/test_clean_tools.py && python tests/test_vscode_connection.py

Testing with Different Clients

Testing with curl

# Start the HTTP server
python -m ise_mcp.server

# Test health endpoint
curl http://localhost:8000/health

# Test server info
curl http://localhost:8000/info

# Test MCP tool call
curl -X POST http://localhost:8000/jsonrpc \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tools/call",
    "params": {
      "name": "get_trending_stocks",
      "arguments": {}
    },
    "id": 1
  }'

Testing with Python Client

# Use the included Python client
cd client
python simple_mcp_client.py

# Or run the basic usage example
cd examples
python basic_usage.py

Debug Mode

Set the log level to DEBUG in your .env file:

ISE_LOG_LEVEL=DEBUG

Development Workflow

1. Setup Development Environment:

``bash git clone https://github.com/GirishKumarDV/Live-NSE-BSE-MCP.git cd Live-NSE-BSE-MCP python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install -r requirements.txt pip install -e . ``

1. Create Configuration:

``bash cp env.example .env # Edit .env and add your API key ``

1. Run Tests:

``bash python tests/test_tools.py ``

1. Start Development Server:

``bash python -m ise_mcp.server ``

🔒 Security

• Environment Variables: All sensitive configuration is stored in environment variables
• API Key Protection: The API key is never logged or exposed in responses
• CORS: Proper CORS headers are set for cross-origin requests
• Input Validation: All tool inputs are validated against JSON schemas

📦 Publishing to PyPI

> Current Status: This package is not yet published to PyPI. Users must install from source.

Users should install from source using the methods described in the [Installation](#installation) section.

Development Installation

# Clone and install in development mode
git clone https://github.com/GirishKumarDV/Live-NSE-BSE-MCP.git
cd Live-NSE-BSE-MCP
pip install -e ".[dev]"

# Run tests
pytest tests/

# Format code
black .

# Type check
mypy ise_mcp/

🐛 Troubleshooting

Common Issues

1. Relative Import Error (attempted relative import with no known parent package):

• Problem: Running python server.py or python stdio_server.py directly
• Solution: Use module execution (python -m ise_mcp.server, python -m ise_mcp.stdio_server) or install from source with pip install -e .

1. Server won't start:

• Check that your ISE_API_KEY from IndianAPI is set in the .env file
• Verify the API key is valid and not expired

1. API errors:

• Verify your IndianAPI key is valid and has sufficient quota
• Check if you've subscribed to the Stock Market API on IndianAPI

1. Connection issues:

• Ensure the server is running on the correct host/port
• Check if port 8000 is available
• Verify firewall settings

1. CORS errors:

• The server includes CORS headers, but check your client configuration
• Ensure you're making requests to the correct endpoint

1. Module not found:

• Ensure you've installed the package with pip install -e . from the project directory
• Check if virtual environment is activated
• Note: PyPI installation (pip install ise-mcp-server) is not available yet

1. Import errors:

• Check Python version compatibility

…

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: GirishKumarDV
• Source: GirishKumarDV/Live-NSE-BSE-MCP
• License: MIT

Install and usage instructions live in the source repository linked above.