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mcp-server-kafka

by atengk
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Python
Hybrid

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    • kafka-mcp

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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.6/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool targets a distinct Kafka resource and action: list/describe topics, sample messages, list/describe consumer groups, create/delete topic, produce message, list connections, cluster info, and reset offsets. The list-vs-describe pattern is standard and descriptions clarify scope. No two tools are likely to be confused for the same operation.

    Naming Consistency4/5

    All names use snake_case with a kafka_ prefix, and most follow verb_noun (list_topics, describe_topic, create_topic). One outlier is kafka_cluster_info, which is noun_noun rather than verb_noun, and singular/plural varies slightly (topic vs topics). Still largely predictable.

    Tool Count5/5

    11 tools is well within the sweet spot for a Kafka admin/ops server, covering both read and write/destructive operations without bloat. Each tool maps to a clear capability; no redundant or filler tools.

    Completeness4/5

    The surface covers core Kafka lifecycle: cluster info, topic list/describe/create/delete, message sample/produce, consumer group list/describe/reset offsets. Minor gaps remain, such as altering topic partitions/configs or deleting consumer groups, but core workflows are covered. Agents can work around most gaps using existing tools.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive

    Resources