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graphify-mcp

by yasinyaman
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Python
Remote

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 16 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: adding sources, building graphs, checking freshness, exploring nodes and paths, analyzing communities, and querying. There is no overlap between tool functionalities.

    Naming Consistency4/5

    All tools use the 'graphify_' prefix followed by descriptive names. While some are verbs (e.g., graphify_build) and others nouns (e.g., graphify_communities), the pattern is consistent and names clearly indicate tool purpose.

    Tool Count5/5

    With 16 tools, the server covers the core operations for knowledge graph management—building, adding sources, exploring, and analyzing—without being bloated. Each tool serves a clear need.

    Completeness4/5

    The tool set covers building, adding, exploring, querying, and community analysis. Missing are tools for deletion or modification of nodes/edges, but the surface is largely complete for the intended exploration and building workflow.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources