A
licenseNot graded
qualityD
maintenanceConnects Moodle LMS with AI assistants through the Model Context Protocol, enabling users to interact with Moodle data via a conversational chatbot interface.
8 npm
MIT
Moodle-MCP
by loyaniu
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TDQS
A3.5/5.0
Scored across 24 tools
Disambiguation5/5
Each tool targets a distinct aspect of Moodle interaction, such as assignments, courses, grades, deadlines, or analytics. Overlapping concepts like 'get_course_progress' and 'get_course_health' are clearly differentiated by their descriptions, with the latter including additional metrics.
Naming Consistency5/5
All tools use snake_case and follow a verb_noun pattern (e.g., 'get_assignments', 'analyze_assignment', 'create_implementation_plan'). The naming is uniform and predictable, with no mixed conventions or vague verbs.
Tool Count4/5
With 24 tools, the count is slightly above the typical 3-15 range for a well-scoped server. However, each tool serves a specific purpose in assisting with Moodle tasks, making the set reasonable for a comprehensive assistant.
Completeness4/5
The tools cover a wide range of student-facing operations: retrieving courses, assignments, grades, deadlines, materials, and providing analytical summaries. Missing are direct actions like submitting assignments or updating course content, but the server focuses on analysis and retrieval, so gaps are minor.
Maintenance
ActivityInactive
ResponsivenessResponsive