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JerBouma

Finance Toolkit

by JerBouma
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Python
Remote

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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.4/5.0

Scored across 26 tools

Disambiguation2/5

Several tools occupy overlapping territory: 'overlap' and 'volatility' both include Bollinger Bands and Keltner Channels, while 'performance' and 'risk' share volatility-related metrics. 'search_categories' vs 'search_by_category' are especially easy to confuse, and 'search_metrics' vs 'search_instruments' sound similar despite different purposes.

Naming Consistency2/5

Most tools are single-word category nouns like 'breadth', 'liquidity', and 'models', but then four tools use snake_case verbs: 'search_categories', 'search_by_category', 'search_metrics', 'search_instruments'. There is no consistent verb_noun or noun pattern across the set.

Tool Count3/5

At 26 tools, the server is on the heavy side of the ideal range, but each tool represents a distinct finance domain category and the three search tools help navigate the large surface. It is borderline rather than egregiously overstuffed.

Completeness5/5

The toolkit covers technical analysis, fundamental ratios, valuation, risk, performance, econometrics, options, fixed income, macro data, ESG, discovery, and raw market data. There are no obvious dead ends or missing core workflows for a data/analytics-focused finance server.

Maintenance

ActivityNo data
ResponsivenessResponsive

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