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Reservoir MCP

Reservoir MCP

by joshavenue
OverviewSchemaSourceRelated ServersDiscussionsAdmin
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

    A4/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools target clearly distinct resources or actions: setup, coverage, file listing, specialized market-data queries, and file downloads. The broad reservoir_query overlaps with the specialized fills/candles/orderbook/positions tools, but its description explicitly says to prefer the dedicated tools, reducing misselection risk.

    Naming Consistency4/5

    All tools use the consistent reservoir_ prefix and snake_case, which makes them easy to scan and group. The set mixes action-like names (list_files, setup_check, download) with resource-like names (fills, candles, orderbook), so it is not a perfect verb_noun convention, but it remains predictable.

    Tool Count5/5

    Ten tools is well-scoped for a specialized market-data access server. Each tool has a clear role: setup, discovery, listing, querying, specialized data views, and downloading.

    Completeness5/5

    The surface covers the full read-only lifecycle for this domain: credential/setup checking, dataset discovery, file listing, SQL access, common analytical queries, and local downloads. The generic reservoir_query provides an escape hatch for any dataset not covered by the specialized tools, so there are no obvious dead ends.

    Resources