CSE MCP Server

A Model Context Protocol (MCP) server that provides real-time stock market data from the Colombo Stock Exchange (CSE). This server enables AI assistants to search for companies and retrieve current stock prices from the Sri Lankan stock market.

Features

• Company Search: Search for CSE-listed companies by name or symbol with fuzzy matching

• Real-time Stock Data: Get current price, change, and percentage change for any CSE ticker

• Fuzzy Matching: Find companies even with typos or partial names

• 308 Companies: Complete database of all CSE-listed companies

Installation with MCP Clients

Claude Desktop / Claude Code

Using Claude CLI (Recommended)

Manual Configuration

Alternatively, add to your Claude configuration (~/Library/Application Support/Claude/claude_desktop_config.json on Mac):

Other MCP Clients

Use the following command configuration:

• Command: npx

• Arguments: ["cse-mcp"]

Available Tools

1. search_company

Search for companies listed on the Colombo Stock Exchange.

Input:

• query (string): Company name or symbol to search

Features:

• Returns top 3 matches using fuzzy search

• Searches both symbol and company name

• Handles typos and partial matches

Example:

Response:

2. get_stock_data

Get real-time stock price data for a specific ticker symbol.

Input:

• symbol (string): Exact ticker symbol (e.g., "JKH.N0000")

Features:

• Validates symbol against company database

• Fetches real-time data from CSE API

• Returns price in Sri Lankan Rupees (Rs.)

Example:

Response:

Development

Prerequisites

• Node.js 16 or higher

• npm or yarn

Building from Source

Project Structure

API Rate Limits

The CSE API has the following considerations:

• No authentication required

• Reasonable rate limiting is recommended

• Timeout set to 10 seconds per request

Data Source

Company data and real-time prices are sourced from the Colombo Stock Exchange.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository

2. Create your feature branch (git checkout -b feature/AmazingFeature)

3. Commit your changes (git commit -m 'Add some AmazingFeature')

4. Push to the branch (git push origin feature/AmazingFeature)

5. Open a Pull Request

License

This project is licensed under the ISC License - see the package.json file for details.

Disclaimer

This tool is for informational purposes only. Stock market data may be delayed. Always verify data with official sources before making investment decisions.

Support

For issues, questions, or suggestions, please open an issue on GitHub.

Acknowledgments

• Colombo Stock Exchange for providing the data API

• Model Context Protocol for the MCP SDK