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Apex Log MCP Server

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    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

    A4/5.0

    Scored across 8 tools

    Disambiguation4/5

    The tools are mostly clearly separated by resource and action: listing versus downloading org logs are distinct, and the analysis tools each target a different view of a log. Some overlap remains between get_summary, list_slow_operations, list_limit_risks, and search_events, since all analyze the same log artifact, but their descriptions make the intended use cases reasonably clear.

    Naming Consistency5/5

    Every tool uses the same apexlog_ prefix followed by a consistent snake_case verb_noun pattern, such as apexlog_get_org_logs, apexlog_list_slow_operations, and apexlog_search_events. The naming is predictable throughout.

    Tool Count5/5

    Eight tools is well scoped for an Apex log retrieval and analysis server. Each tool covers a distinct part of the workflow: obtaining logs, executing Apex, creating trace flags, and analyzing different aspects of a log.

    Completeness4/5

    The surface covers the core lifecycle well: listing and downloading logs, producing logs via anonymous Apex or trace flags, and several rich analysis views. Minor gaps exist around explicit trace-flag cleanup or log deletion, but agents can work around these with the available operations.

    Maintenance

    ActivityActive
    ResponsivenessSlow

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