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KalshiEye

Kalshi Eye MCP Server

by KalshiEye
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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

    A3.6/5.0

    Scored across 10 tools

    Disambiguation4/5

    Each tool has a distinguishable target: search (keyword discovery), get_series/list_markets/get_market (drill-down by series ticker or market ticker), and a separate archive tier (list_datasets, dataset_series, list_files, download_links). The only mild overlaps are get_series vs dataset_series and search vs list_markets, but descriptions disambiguate them clearly.

    Naming Consistency3/5

    Most tools follow verb_noun (download_links, get_series, list_markets, get_market, list_datasets, list_files), but there are notable deviations: the bare verb 'search' and noun-only names like market_price_history, dataset_series, and recording_status. Still readable, but the pattern isn't uniform.

    Tool Count5/5

    Ten tools is well-scoped for a market data archive: discovery, metadata, file listing, and download each earn their place with no redundant surface.

    Completeness4/5

    The full pipeline is covered: search/discover markets and series, inspect datasets, list daily Parquet files, and obtain signed download URLs, plus a recorder health check. Minor gaps exist—events are only reachable via search, and there is no direct query tool beyond price history and raw file download.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources