What prerequisites are required?
You need Python, a Zerodha trading account with Personal API access (obtained from developers.kite.trade), and an OpenAI API key (for Agno) or Gemini API key or Application Default Credentials (for Google ADK).
@mtwn105
Basic information
Zerodha MCP Server & Client (Kite x Agno)
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"zerodha-mcp-mtwn105": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Python-based trading assistant that connects to a Zerodha MCP server to help users manage their trading account. It integrates with Zerodha’s API via the Model Context Protocol and supports both Agno and Google ADK agent frameworks for natural-language interaction.
Install dependencies, configure a .env file with Zerodha API credentials and an LLM API key (OpenAI for Agno, Gemini or ADC for Google ADK), then start the server with python server.py. Launch the client with python client/agno_client.py or python client/google_adk_client.py. Use the interactive chat to execute trading commands such as “Show me my holdings” or “Place a market order”.
You need Python, a Zerodha trading account with Personal API access (obtained from developers.kite.trade), and an OpenAI API key (for Agno) or Gemini API key or Application Default Credentials (for Google ADK).
Agno and Google ADK agent frameworks are both supported; choose either `agno_client.py` or `google_adk_client.py`.
Set `ZERODHA_API_KEY` and `ZERODHA_API_SECRET` in your `.env` file. For the client, also set `OPENAI_API_KEY` or `GOOGLE_API_KEY` as required.
The server can run in SSE mode or stdio mode, configured via `SERVER_MODE` in `.env` or the `--mode` command‑line argument.
Log in to [developers.kite.trade](https://developers.kite.trade/login) with your Zerodha credentials to generate your API key and secret.
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