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Maghav

kodekloud-mcp

by Maghav
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Python
Hybrid

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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.8/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: course progress, outline, enrolled courses, active labs, certifications, learning summary, and engineer-specific resources. However, get_course_progress, get_course_outline, and get_learning_summary all touch on course completion and next-lesson guidance, creating mild overlap. Descriptions help differentiate them, so misselection is unlikely but possible.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern using get_ or list_. The convention is predictable throughout, with no mixing of styles or vague verbs. This makes the tool set easy to scan and understand.

    Tool Count5/5

    Nine tools is well within the ideal range for a focused learning-platform MCP. Each tool covers a distinct area: courses, progress, labs, certifications, summaries, and KodeKloud Engineer tasks. No tool feels redundant or excessive for the scope.

    Completeness4/5

    The surface covers the main read-only areas learners care about: enrolled courses, progress, outlines, labs, certifications, study summaries, and engineer tasks/profile/history. Minor gaps exist around lab session control (e.g., starting or stopping labs) and task submission actions, but core monitoring and discovery workflows are well supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources