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传承·交大 MCP

传承·交大 MCP

by Flagwill
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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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

    B3.3/5.0

    Scored across 51 tools

    Disambiguation3/5

    The tool set covers many distinct subdomains, but several material and points tools have overlapping boundaries. Examples include share_get_course_materials vs share_list_course_materials, share_get_download_url vs share_download_material vs share_purchase_material, and share_get_points_overview vs separate quota/redeem tools. Descriptions help, but an agent can still hesitate among similar-looking options.

    Naming Consistency4/5

    All tools use a consistent share_ snake_case prefix, and most follow a verb_noun pattern. Minor deviations include noun/status-style names such as share_auth_status and share_lesson_sync_status, but the overall convention is predictable.

    Tool Count2/5

    At 51 tools, the surface is very heavy and contains many granular operations across auth, courses, materials, comments, points, and profile. While the domain is broad, several tools could likely be consolidated or grouped, making the set harder to navigate than necessary.

    Completeness5/5

    Coverage is extensive: authentication, profile management, course discovery, material lifecycle, comments, ratings, reports, points transfer/redemption, banners, and lesson sync are all represented. The server appears to cover the platform's main CRUD and workflow operations with few obvious dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessOutdated data

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