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SwiftKG MCP Server

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    TDQS

    A3.5/5.0

    Scored across 21 tools

    Disambiguation3/5

    The tool set spans distinct areas (discovery, query, explanation, ranking, snapshots), but there is meaningful overlap within clusters: query_codebase, pack_snippets, and query_ranked all perform hybrid semantic/structural queries with different output formats, and centrality/rank_nodes/explain_rank all compute graph centrality. An agent could struggle to choose among these similar tools despite detailed descriptions.

    Naming Consistency2/5

    Naming conventions are inconsistent. Several tools follow verb_noun (list_nodes, find_node, get_node, analyze_repo), but many are noun-only (callers, type_hierarchy, centrality, graph_stats), and the snapshot tools are reversed noun_verb (snapshot_list, snapshot_show, snapshot_diff). The mixed styles and inconsistent word order make the API harder to predict.

    Tool Count3/5

    21 tools is on the heavy side. The server covers a broad domain (code graph query, ranking, snapshots, explanations), so many tools are justified, but consolidation of the overlapping ranking/query tools (query_codebase, query_ranked, pack_snippets; centrality, rank_nodes, explain_rank) would make the surface tighter and reduce cognitive load.

    Completeness4/5

    For a read-only code analysis server, the surface is remarkably complete: discovery (list/find/get), query (semantic/structural), reverse lookup (callers), type relationships (type_hierarchy), public API, stats, multi-faceted centrality, and temporal snapshots. Minor gaps exist (e.g., no direct edge query between two nodes, no file-level summary beyond find_definition_at), but these are workable and do not block typical workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues