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Redis MCP Server

by Yuchenhui
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Python
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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

    A3.5/5.0

    Scored across 44 tools

    Disambiguation5/5

    Each tool targets a distinct Redis command or operation, with clear prefixes (h for hash, json for JSON, etc.) and no overlapping functionality. Even similar tools like scan_keys and scan_all_keys are well-differentiated by their return patterns.

    Naming Consistency5/5

    All tool names follow a consistent lowercase_with_underscores pattern, using prefixes for data types (h, json, z, x) and verbs for actions. There is no mixing of camelCase or other conventions.

    Tool Count2/5

    With 44 tools, this server significantly exceeds the typical well-scoped range (3-15). While many tools are justified by Redis's multiple data structures, the number is high enough to potentially overwhelm agents and suggests a need for consolidation.

    Completeness5/5

    The tool set covers all major Redis data types (strings, hashes, lists, sets, sorted sets, streams, JSON) plus pub/sub, key operations, server info, and vector search. Basic CRUD operations are present for each type, with no obvious gaps for typical use cases.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources