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Trade-MCP

0 stars PythonOthers Updated Jul 1, 2025

Documentation

Trade-MCP

A modular trading automation project using Zerodha Kite Connect and MCP (Modular Command Platform) for tool-based and resource-based automation. This project exposes trading actions (like placing orders and fetching holdings) as MCP tools, making them accessible to Claude Desktop and other MCP-compatible clients.


Features

  • Zerodha Integration: Place buy/sell orders and fetch holdings using the Kite Connect API.
  • MCP Tools: Expose trading actions as callable tools for automation and AI agents.
  • Environment-based Secrets: API keys and secrets are loaded from a `.env` file for security.
  • Extensible: Easily add new tools or resources for more trading actions.

Setup

1. Clone the Repository

sh
git clone 
cd Trade-MCP

2. Create and Activate a Virtual Environment

sh
uv venv
.venv\Scripts\activate  # On Windows
# or
source .venv/bin/activate  # On Linux/Mac

3. Install Dependencies

sh
uv pip install -r requirements.txt
# or, if using pyproject.toml:
uv pip install .

4. Configure Environment Variables

Create a `.env` file in the project root:

code
API_KEY=your_zerodha_api_key
API_SECRET=your_zerodha_api_secret

5. Get Your Zerodha Access Token

To use the Zerodha API, you need an access token. Follow these steps:

1. Get Your API Key and Secret

    2. Generate the Login URL

    In a Python shell or script, run:

    python
    from kiteconnect import KiteConnect
       kite = KiteConnect(api_key="your_api_key")
       print(kite.login_url())

      3. Extract the `request_token`

        `http://localhost:8000/?request_token=REQUEST_TOKEN_HERE&action=login&status=success`

          4. Exchange the `request_token` for an `access_token`

          In a Python shell or script, run:

          python
          data = kite.generate_session("REQUEST_TOKEN_HERE", api_secret="your_api_secret")
             print(data["access_token"])

            5. Set the Access Token


              Usage

              Run the MCP Server

              sh
              uv run --with mcp[cli] mcp run server.py

              Or, if MCP CLI is installed in your environment:

              sh
              mcp run server.py

              Claude Desktop Integration

              1. Add a server entry in your `claude_desktop_config.json`:

              json
              {
                   "mcpServers": {
                     "Trade-MCP": {
                       "command": "uv.EXE", # Exact Path to uv executable
                       "args": [
                         "run",
                         "--with",
                         "mcp[cli]",
                         "mcp",
                         "run",
                         "server.py" # Exact Path to your server script
                       ]
                     }
                   }
                 }

              2. Restart Claude Desktop.

              3. The tools will appear in Claude's tool list.


              Exposed Tools

              • `add(a: int, b: int)`: Add two numbers.
              • `place_zerodha_buy_order(symbol: str, quantity: int)`: Place a buy order.
              • `place_zerodha_sell_order(symbol: str, quantity: int)`: Place a sell order.
              • `get_zerodha_holdings()`: Get all holdings from Zerodha.

              Extending

              To add a new tool, define a function in `server.py` and decorate it with `@mcp.tool()`:

              python
              @mcp.tool()
              def my_tool(...):
                  ...

              License

              MIT License


              Frequently asked questions

              What is Trade-mcp?

              Trade-mcp is Trade-MCP

              How do I install Trade-mcp?

              Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

              Is Trade-mcp open source?

              Yes — it is hosted on GitHub at https://github.com/SamarJyoti496/Trade-mcp.

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