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Spark Ordernet

БесплатноНе проверен

Read-only MCP server and reusable portfolio reporting skill for Spark Ordernet

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Описание

Read-only MCP server and reusable portfolio reporting skill for Spark Ordernet

README

Read-only MCP access to Spark / Ordernet brokerage accounts, including Meitav Trade. The server exposes current holdings, transactions, orders, returns, security lookup, price history, standing orders, and market news.

The authenticated client is constrained to an exact GET allowlist. Authentication is the only POST request; order entry, cancellation, money movement, currency conversion, and account changes are not reachable.

Requirements

  • Python 3.11 or newer
  • uv
  • A supported Spark / Ordernet brokerage login

Run the MCP server

Use the packaged command directly from GitHub:

uvx --from git+https://github.com/anhermon/spark-ordernet-mcp \
  spark-ordernet-mcp

Configure an MCP client with credentials supplied only through its environment:

{
  "mcpServers": {
    "ordernet": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/anhermon/spark-ordernet-mcp",
        "spark-ordernet-mcp"
      ],
      "env": {
        "ORDERNET_BROKER": "meitav",
        "ORDERNET_USERNAME": "${ORDERNET_USERNAME}",
        "ORDERNET_PASSWORD": "${ORDERNET_PASSWORD}"
      }
    }
  }
}

Supported broker slugs include meitav, psagot, ibi, nesua, and gaon.

Install the Codex skill

Ask Codex to install:

https://github.com/anhermon/spark-ordernet-mcp/tree/main/spark-ordernet

Or clone the repository and copy spark-ordernet/ into ~/.codex/skills/spark-ordernet/.

Private portfolio report

After cloning the repository, create the ignored credential file and run:

cp .env.example .env
# Edit .env locally.
uv run --env-file .env python scripts/generate_portfolio_report.py

The report is written atomically to reports/portfolio-analysis.html with mode 0600. Reusable broker snapshots are stored under the ignored reports/.spark-cache/ directory with owner-only permissions. Completed years are reused automatically, making subsequent reports faster and less dependent on the broker's availability.

The report resolves numeric instrument IDs to safe public names when possible, normalizes income and fees to ILS using transaction-date FX, provides sortable historical-position columns, and plots indexed price action only across recorded holding lifecycles. Missing FX or market history is shown explicitly instead of being guessed.

  • --refresh refreshes all historical snapshots.
  • --offline reproduces the last successful cached report.
  • --no-cache disables cache reads and writes for one run.
  • --cache-ttl 300 controls reuse of recent current-year snapshots.

The generated report and cache contain private financial data. They are ignored by Git and must not be published.

Development checks

Install the Git hooks once per clone:

uvx --from pre-commit pre-commit install

The hooks reject source and configuration files longer than 800 lines, run Ruff, and execute the unit-test suite. Run the same checks across the repository before pushing:

uvx --from pre-commit pre-commit run --all-files

GitHub Actions runs this command on every push and pull request. Individual checks can also be run directly:

uv run python scripts/check_file_size.py .
uv run python -m unittest discover -s tests
uv run --with ruff ruff check .

License

MIT — see LICENSE.

from github.com/anhermon/spark-ordernet-mcp

Установить Spark Ordernet в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install spark-ordernet

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add spark-ordernet -- uvx --from git+https://github.com/anhermon/spark-ordernet-mcp spark-ordernet-mcp

Пошаговые гайды: как установить Spark Ordernet

FAQ

Spark Ordernet MCP бесплатный?

Да, Spark Ordernet MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Spark Ordernet?

Нет, Spark Ordernet работает без API-ключей и переменных окружения.

Spark Ordernet — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Spark Ordernet в Claude Desktop, Claude Code или Cursor?

Открой Spark Ordernet на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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