Ksei Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Ksei Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
An unofficial Model Context Protocol (MCP) server for accessing your AKSes KSEI (Acuan Kepemilikan Sekuritas Kustodian Sentral Efek Indonesia) portfolio data.
This server enables AI assistants to retrieve Indonesian securities portfolio information, including:
uv installed (recommended for quick execution)Set the following environment variables:
export KSEI_USERNAME="your_ksei_username"
export KSEI_PASSWORD="your_ksei_password"
export KSEI_AUTH_PATH="./data" # Optional, defaults to "./data" for saving auth tokensuvx (Recommended)The easiest way to start the server is with uvx:
# Run directly from PyPI
uvx ksei-mcp
# Or run from the local directory
uvx --from . ksei-mcpIf you prefer manual installation:
# Install dependencies
pip install -e .Add this configuration to your MCP-compatible client:
{
"mcpServers": {
"ksei": {
"type": "stdio",
"command": "uvx",
"args": ["ksei-mcp@latest"]
}
}
}For local testing and development:
# Install MCP Inspector
npm install -g @modelcontextprotocol/inspector
# Run with inspector
mcp-inspector uvx --from . ksei-mcpOnce 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"Gemini CLI Example
Other supported clients include GitHub Copilot, Claude, and any MCP-compatible assistant.
Licensed under the MIT License. See the LICENSE file for details.
This software is intended for educational and personal use only. Users are responsible for complying with KSEI's terms of service and all relevant regulations.
Note: This is an unofficial client for KSEI services. It is not affiliated with or endorsed by KSEI.
This project is an adaptation from chickenzord/goksei. Many thanks to the original author for their work and inspiration.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.