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SGraph MCP Server

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by softagram
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Python
Hybrid

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    TDQS

    A4.2/5.0

    Scored across 11 tools

    Disambiguation4/5

    Each tool has a clearly specialized purpose with explicit 'when to use' guidance, so agents can generally pick the right one. Minor overlap exists between sgraph_query, sgraph_cypher_query, and sgraph_get_element_dependencies, since all can express dependency lookups, but the intended boundaries are described well enough to avoid major confusion.

    Naming Consistency4/5

    All tools share the sgraph_ prefix and snake_case naming, which gives the set a strong sense of consistency. Most names follow a verb_object pattern (load_model, search_elements, get_element_dependencies), but sgraph_audit, sgraph_query, and sgraph_security_audit are slightly less uniform in structure.

    Tool Count5/5

    Eleven tools is a well-scoped size for a code dependency graph analysis server. Each tool covers a distinct aspect of the workflow—loading, searching, exploring, analyzing impact, auditing, and querying—so none feels redundant or excessive.

    Completeness5/5

    The tool surface covers model loading, symbol search, structural exploration, dependency and impact analysis, architecture audits, security audits, attribute inspection, path resolution, and two flexible query languages. The only apparent workflow gap—reading actual source code—is intentionally bridged by resolving local paths and delegating to a Read tool, and advanced needs are covered by sgraph_cypher_query.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources