A Model Context Protocol (MCP) server for TCInvest, enabling LLM-powered access to TCBS stock and bond data.
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# TCInvest MCP Server This project is a Model Context Protocol (MCP) server for TCInvest, designed to help users build LLM-powered applications with real-time and historical stock and bond data from the TCBS APIs. The goal is to enable users to interact with financial data using large language models (LLMs), similar to how DeepSeek operates in the Chinese stock market—using LLMs to replace traditional brokers and provide intelligent, automated investment support. ## Purpose - Enable seamless integration of LLMs (such as GPT, DeepSeek, etc.) with Vietnamese stock and bond data from TCBS. - Allow users to query, analyze, and visualize financial data using natural language. - Provide a foundation for building next-generation AI investment assistants and tools. - Continuously expand features and API coverage to support more financial products and use cases. ## Features - Retrieve stock and bond data from the TCBS API - Loads configuration from a `.env` file - Logs activity to `app.log` - Designed for easy extension with new APIs and features ## Project Structure ``` tcinvest_mcp_server/ __init__.py __main__.py constant.py requirements.txt server.py api/ __init__.py client.py # API client for TCBS endpoints services/ # Business logic for tcinvest api will be added here __init__.py bond_trading.py ... .env # Environment variables (API key, base URL) app.log # Log file PYTHON_SDK_README.md llms-full.txt README.md ``` ## Getting Started ### Installation #### Install from PyPI To install the package directly from PyPI, run: ```bash pip install tcinvest-mcp-server ``` #### Install from Source Alternatively, clone the repository and install the dependencies manually: ```bash git clone https://github.com/hoangWiki/tcinvest_mcp_server.git cd tcinvest_mcp_server pip install -r requirements.txt ``` ### Configuration Set up your env…
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