Mcppythonproject
What is Mcppythonproject
MCPPythonProject is a demonstration project that showcases the use of the MCP protocol for facilitating tool calling for AI agents. It includes a server, client, tools module, and a user interface built with Streamlit.
Use cases
Use cases for MCPPythonProject include developing AI agents that can interact with stock data, creating financial analysis tools, and building applications that require real-time stock information processing.
How to use
To use MCPPythonProject, navigate to the project directory and run the command poetry run streamlit run MCP_stock_app_client.py to start the application.
Key features
Key features of MCPPythonProject include a server-client architecture, a dedicated tools module for stock-related functionalities, and an interactive user interface developed using Streamlit.
Where to use
MCPPythonProject can be used in fields such as artificial intelligence, financial technology, and software development, particularly in applications that require tool integration for stock management.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcppythonproject
MCPPythonProject is a demonstration project that showcases the use of the MCP protocol for facilitating tool calling for AI agents. It includes a server, client, tools module, and a user interface built with Streamlit.
Use cases
Use cases for MCPPythonProject include developing AI agents that can interact with stock data, creating financial analysis tools, and building applications that require real-time stock information processing.
How to use
To use MCPPythonProject, navigate to the project directory and run the command poetry run streamlit run MCP_stock_app_client.py to start the application.
Key features
Key features of MCPPythonProject include a server-client architecture, a dedicated tools module for stock-related functionalities, and an interactive user interface developed using Streamlit.
Where to use
MCPPythonProject can be used in fields such as artificial intelligence, financial technology, and software development, particularly in applications that require tool integration for stock management.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Stock Application
This project demonstrates how the MCP protocol can be used to facilitate tool calling for AI agents. It consists of the following components:
- Server:
MCP_stock_app_server - Client:
MCP_stock_app_client - Tools Module:
stock_tools - User Interface: Built with Streamlit
Running the Application
To start the application, use the following command:
poetry run streamlit run MCP_stock_app_client.py from the following path MCPStockPythonProject/mcpstockpythonproject
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
