spark-ordernet-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@spark-ordernet-mcpshow my current holdings in Meitav Trade"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Spark Ordernet MCP
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
A supported Spark / Ordernet brokerage login
Related MCP server: claude-tws-connect
Run the MCP server
Use the packaged command directly from GitHub:
uvx --from git+https://github.com/anhermon/spark-ordernet-mcp \
spark-ordernet-mcpConfigure 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-ordernetOr 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.pyThe 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 installThe 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-filesGitHub 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 .Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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