Trade Republic Mcp
What is Trade Republic Mcp
trade-republic-mcp is a Model Context Protocol Server designed specifically for Trade Republic, facilitating the integration and management of model contexts in trading applications.
Use cases
Use cases for trade-republic-mcp include developing trading algorithms, integrating AI-driven insights into trading applications, and testing client-server interactions in a controlled environment.
How to use
To use trade-republic-mcp, clone the repository, install the necessary dependencies, set up your OpenAI API key in a .env file, and run the MCP server using the provided commands.
Key features
Key features of trade-republic-mcp include easy installation with Python, a structured project layout for server implementation, and the ability to run both the MCP server and a backend server.
Where to use
trade-republic-mcp can be used in financial technology applications, particularly in trading platforms and services that require model context 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 Trade Republic Mcp
trade-republic-mcp is a Model Context Protocol Server designed specifically for Trade Republic, facilitating the integration and management of model contexts in trading applications.
Use cases
Use cases for trade-republic-mcp include developing trading algorithms, integrating AI-driven insights into trading applications, and testing client-server interactions in a controlled environment.
How to use
To use trade-republic-mcp, clone the repository, install the necessary dependencies, set up your OpenAI API key in a .env file, and run the MCP server using the provided commands.
Key features
Key features of trade-republic-mcp include easy installation with Python, a structured project layout for server implementation, and the ability to run both the MCP server and a backend server.
Where to use
trade-republic-mcp can be used in financial technology applications, particularly in trading platforms and services that require model context 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
Trade Republic MCP
A Model Context Protocol Server for Trade Republic.
Prerequisites
- Python 3.13 or higher
- Git
- UV package manager
Installation
- Clone the repository:
git clone ... trade-republic-mcp
cd trade-republic-mcp
- Download missing files, create simplified dbs:
curl -L "https://github.com/Wenzhi-Ding/Std_Security_Code/raw/refs/heads/main/isin/company_name.pq?download=" > ./data/company_name.pq
- Install dependencies:
uv sync
- Create a
.envfile in the project root and add your OpenAI API key:
OPENAI_API_KEY=your_api_key_here
- (Optional) Install MCP locally
fastmcp install src/trade_republic/local.py
Usage
Running the MCP Server
Start the Model Context Protocol server:
uv run -m src.trade_republic.main
Running the Backend Server
Start the backend server:
uv run -m src.backend.main
Running the Test Client
Run the test client:
uv run -m src.client
Project Structure
src/trade_republic/- MCP server implementationsrc/backend/- Backend server implementationsrc/client.py- Test client implementation
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.
