F
licenseNot graded
qualityD
maintenanceEnables quant research, strategy generation, backtesting, and paper trading from natural language prompts, integrating with AI agents via an MCP server.
61
Helvetic Research
Ownership verified
Server Details
Research-only MCP server: turn your AI into a quant research desk — backtests, no trades.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- helvetic-research/helvetic-research
- GitHub Stars
- 0
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Tool Definition Quality
A3.6/5.0
Tool DescriptionsA
Average 4.3/5 across 85 of 85 tools scored. Lowest: 2.6/5.
Server CoherenceA
Disambiguation4/5
Most tools have clearly distinct purposes, but a few pairs are similar (e.g., get_drawdowns vs drawdown_series, run_quant_research vs run_strategy_v3, translate_strategy_request vs translate_and_run_strategy) and could cause misselection. Descriptions generally clarify the differences, making this a minor issue.
Naming Consistency4/5
Naming is predominantly snake_case with a mix of verb_noun (e.g., get_metrics, run_backtest) and noun_analysis (e.g., correlation_analysis, regime_analysis). There are minor deviations like what_if_rebalance and full_research_brief that break the pattern, but overall it is consistent and readable.
Tool Count1/5
With 85 tools, the surface is extremely heavy. Many tools are granular variants (e.g., daily_pnl_series, drawdown_series, trade_pnl_series) that could be consolidated, and the count far exceeds even a generous threshold for a single-purpose server.
Completeness5/5
The tool set is remarkably comprehensive, covering data retrieval, multiple backtesting modes, performance/risk analytics, optimization, robustness checks, strategy translation, reporting, and dashboard management. No significant workflow gaps are apparent.
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{
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