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Portfolio Rotation MCP Server

by mothanaprime
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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

    A4.4/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose, from data fetching (fetch_prices, fetch_financials, fetch_ff_factors) to analysis (analyze_risk, score_tickers, compare_swaps, compute_attribution, stress_test, run_backtest) and orchestration (run_pipeline, get_skill). No two tools overlap in functionality; the pipeline tool is explicitly a meta-orchestrator, avoiding confusion.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with lowercase and underscores: analyze_risk, compare_swaps, compute_attribution, fetch_ff_factors, fetch_financials, fetch_prices, get_skill, run_backtest, run_pipeline, score_tickers, stress_test. The naming is predictable and uniform.

    Tool Count5/5

    11 tools is well-scoped for a portfolio rotation analysis server. The count covers essential data retrieval, scoring, risk assessment, swap comparison, backtesting, attribution, stress testing, and a full pipeline orchestrator. No tools feel redundant or extraneous.

    Completeness5/5

    The tool surface covers the entire portfolio rotation workflow: data acquisition (prices, financials, factors), scoring, risk analysis, swap recommendations, backtesting, attribution, stress testing, and a knowledge skill. The pipeline tool ties everything together. No obvious gaps exist for the stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources