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YaparAI MCP Server

by ilhankilic
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Python
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    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

    A3.7/5.0

    Scored across 43 tools

    Disambiguation5/5

    Each tool targets a specific functionality with clear descriptions that distinguish overlapping areas (e.g., generate_caption vs generate_text, ai_reply_suggestion vs chat_with_bot). No two tools serve the same purpose, making selection unambiguous.

    Naming Consistency5/5

    The vast majority of tools follow a consistent verb_noun pattern (e.g., generate_image, list_customers, remove_background). Only a few minor exceptions (ai_reply_suggestion, lip_sync, virtual_try_on) exist, but they are still intuitive and do not break the overall consistency.

    Tool Count4/5

    With 43 tools covering a wide range of features (content generation, social media, CRM, products, competitors, templates), the count is large but justifiable for a comprehensive platform server. It is slightly heavy but not excessive for the scope.

    Completeness3/5

    Core workflows for content generation and social media interaction are well-covered, but there are notable gaps in CRUD operations for entities like social posts, customers, products, and competitors (no update/delete tools). This limits the ability to fully manage resources via tools alone.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources