Angel One MCP (Model Context Protocol)

by RohanDoshi21

9 stars

354 downloads

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Description

# Angel One MCP (Model Context Protocol) This repository contains the Model Context Protocol implementation for Angel One trading platform, allowing you to interact with Angel One's trading APIs to get history data and get portfolio data. ## Prerequisites - Python 3.10 - Angel…

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Author: RohanDoshi21
GitHub stars: 9
Downloads: 354
Categories: Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Angel One MCP (Model Context Protocol)

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

From the repository

Install Python 3.10, clone the repository, initialize submodules, create a virtual environment, install dependencies with uv, and configure your credentials in a test_credentials.py file in the root directory. Then run api.py as an MCP server using the uv command, specifying the directory and script in your MCP client configuration.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "angel one mcp (model context protocol)": {
            "angleone-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "angleone-mcp-server": {
        "command": "python",
        "args": [
            "-m",
            "venv",
            "venv"
        ]
    }
}

Angel One MCP (Model Context Protocol)

This repository contains the Model Context Protocol implementation for Angel One trading platform, allowing you to interact with Angel One's trading APIs to get history data and get portfolio data.

Prerequisites

- Python 3.10
- Angel One trading account
- API credentials from Angel One

Installation

1. Clone the repository:

git clone https://github.com/yourusername/angelone-mcp.git

cd angelone-mcp

git submodule update --init --recursive

2. Create a virtual environment (recommended):

python -m venv venv

source venv/bin/activate  # On Windows, use venv\Scripts\activate

3. Install the required dependencies:

curl -LsSf https://astral.sh/uv/install.sh | sh

uv pip install -r requirements.txt

Configuration

1. Create a test_credentials.py file in the root directory with your Angel One credentials:
```python

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Description

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Angel One MCP (Model Context Protocol)

Prerequisites

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