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# KSEI MCP An **unofficial Model Context Protocol (MCP)** server for accessing your [AKSes KSEI](https://akses.ksei.co.id) (Acuan Kepemilikan Sekuritas Kustodian Sentral Efek Indonesia) portfolio data. This server enables AI assistants to retrieve Indonesian securities portfolio information, including: * Cash balances * Equity holdings * Mutual funds * Bonds * Other investments --- ## 🔧 Prerequisites * Python 3.11 or higher * Valid KSEI account credentials * [`uv`](https://docs.astral.sh/uv/getting-started/installation/) installed (recommended for quick execution) --- ## ⚙️ Installation & Setup ### 1. Set Environment Variables Set the following environment variables: ```bash export KSEI_USERNAME="your_ksei_username" export KSEI_PASSWORD="your_ksei_password" export KSEI_AUTH_PATH="./data" # Optional, defaults to "./data" for saving auth tokens ``` ### 2. Run with `uvx` (Recommended) The easiest way to start the server is with [`uvx`](https://docs.astral.sh/uv/reference/cli/#uvx): ```bash # Run directly from PyPI uvx ksei-mcp # Or run from the local directory uvx --from . ksei-mcp ``` ### 3. Alternative: Traditional Installation If you prefer manual installation: ```bash # Install dependencies pip install -e . ``` --- ## 🤖 Usage with MCP Clients Add this configuration to your MCP-compatible client: ```json { "mcpServers": { "ksei": { "type": "stdio", "command": "uvx", "args": ["ksei-mcp@latest"] } } } ``` --- ## 🧪 Development: Using MCP Inspector For local testing and development: ```bash # Install MCP Inspector npm install -g @modelcontextprotocol/inspector # Run with inspector mcp-inspector uvx --from . ksei-mcp ``` --- ## 💬 Example Queries Once integrated into your AI assistant, you can ask: ``` "Show me my KSEI portfolio summary" "What are my current cash balances?" "List all my equity holdings" "Get my mutual fund investments" "Fetch all portfolio data" ``` ### Example (Using Gemini CLI) ![Gemin…
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