Spark Ordernet
FreeNot checkedRead-only MCP server and reusable portfolio reporting skill for Spark Ordernet
About
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.
--refreshrefreshes all historical snapshots.--offlinereproduces the last successful cached report.--no-cachedisables cache reads and writes for one run.--cache-ttl 300controls 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.
Install Spark Ordernet in Claude Desktop, Claude Code & Cursor
unyly install spark-ordernetInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add spark-ordernet -- uvx --from git+https://github.com/anhermon/spark-ordernet-mcp spark-ordernet-mcpStep-by-step: how to install Spark Ordernet
FAQ
Is Spark Ordernet MCP free?
Yes, Spark Ordernet MCP is free — one-click install via Unyly at no cost.
Does Spark Ordernet need an API key?
No, Spark Ordernet runs without API keys or environment variables.
Is Spark Ordernet hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Spark Ordernet in Claude Desktop, Claude Code or Cursor?
Open Spark Ordernet on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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