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marcodavidd020

Cerebro MCP

by marcodavidd020
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Python
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    TDQS

    A4/5.0

    Scored across 16 tools

    Disambiguation5/5

    Each tool targets a clearly distinct aspect of code analysis: call sites, call edges, circular imports, dead symbols, endpoints, file info, impact analysis, project overview, note-taking, orphan files, recall, file recording, reindexing, search, stale index, and sync. Even similar tools like dead_symbols vs orphans and note vs record vs recall are differentiated by scope and purpose.

    Naming Consistency5/5

    All tools follow a consistent 'cerebro_' prefix with snake_case naming (e.g., cerebro_callers, cerebro_dead_symbols). The second part is either a noun (callers, cycles) or a verb (get, search), maintaining a predictable pattern throughout.

    Tool Count5/5

    With 16 tools, the server covers a comprehensive set of code intelligence operations without being overly numerous. Each tool serves a specific purpose in the workflow of understanding and navigating a large codebase, fitting well within the typical 3-15 range for focused servers.

    Completeness4/5

    The tool set covers core code analysis needs: dead code detection, call graphs, dependency analysis, search, project overview, and knowledge persistence. Minor gaps include lack of direct file content retrieval or file listing, but the server's focus on precomputed index data means these are reasonable omissions.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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