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mcp-server-worldquantbrain

mcp-server-worldquantbrain

by tukorama
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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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

    B3.3/5.0

    Scored across 25 tools

    Disambiguation4/5

    Tools are grouped into clear resource families (datasets/datafields, alphas, simulations, auth, user) and each action is largely distinct. The only real overlap is get_alpha_pnl vs get_alpha_recordset and get_dataset vs get_datafield, and the descriptions explicitly steer callers ('Prefer get_alpha_pnl for PnL'), which resolves the ambiguity in practice.

    Naming Consistency4/5

    Almost everything follows a predictable snake_case verb_noun pattern (list_datasets, get_alpha, simulate_alpha, check_alpha_submission). Minor deviations: auth_status has no verb, and authenticate stands alone without a noun object, but the convention remains readable overall.

    Tool Count3/5

    25 tools is at the upper edge of well-scoped; each maps to a real BRAIN operation, but several niche read tools (get_alpha_self_correlation, get_alpha_prod_correlation, list_alpha_recordsets, get_alpha_recordset, list_messages) could be folded into broader getters without losing capability.

    Completeness3/5

    Simulation, discovery, and alpha inspection are well covered, including batch runs, resume-via-status, and pre-submission checks. However, there is no tool to actually submit an alpha (only check_alpha_submission), no delete_alpha, and no way to enumerate past simulations independent of alphas, leaving lifecycle dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources