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mcp-server-kafka

by atengk
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Python
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    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 6 tools

    Disambiguation5/5

    Each tool targets a distinct Kafka resource and action: cluster metadata, topic listing, topic description, topic creation, topic deletion, and message production. There is no functional overlap or ambiguity between any pair.

    Naming Consistency4/5

    All tools share the kafka_ prefix and five use a consistent verb_noun pattern (list_topics, describe_topic, create_topic, delete_topic, produce_message). The lone outlier is kafka_cluster_info, which uses a noun phrase rather than a verb, but this is a minor deviation.

    Tool Count5/5

    Six tools is well-scoped for Kafka administration and message production, with each tool earning its place and no redundant operations. The count is neither bloated nor too thin for the apparent domain.

    Completeness2/5

    The set covers cluster info, topic lifecycle (create/delete/list/describe), and producing messages, but lacks any consume/read-message tool, which is a fundamental Kafka operation. Consumer group and offset management are also absent, creating a significant gap that would cause agent failures for read-oriented tasks.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive

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