Sheets Finance Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Sheets Finance 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.
MCP server for the SheetsFinance formula catalog.
This package exposes three tools:
sf_search: search metrics/functions and get ranked metric_id candidates.sf_formula: build validated SheetsFinance formulas from a metric_id or explicit function/category/metric fields.sf_describe: inspect category/function metadata, metric lists, and examples.SheetsFinance is a Google Sheets add-on for financial market/company data retrieval using spreadsheet formulas.
From this package directory:
pip install -e .Run as a module:
python -m sheets_finance_mcpOr via console script (installed by pyproject.toml):
sheets-finance-mcp{
"mcpServers": {
"sheetsfinance": {
"command": "python",
"args": ["-m", "sheets_finance_mcp"]
}
}
}| Tool | Purpose | Typical Next Step |
|---|---|---|
sf_search(query, limit=10) | Find matching metrics/functions | Use returned metric_id with sf_formula |
sf_formula(...) | Construct a formula string (single or multi-symbol) | Paste formula in Sheets |
sf_describe(target) | Inspect category/function metrics and options | Pick a metric/function for sf_formula |
sf_search(query="gross margin") sf_formula(symbol="AAPL", metric_id="SF.ratios.grossProfitMargin") sf_describe(target="income")~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.