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Canvas MCP Server

generate_peer_review_feedback_report

Generate instructor-ready reports on peer review quality for Canvas assignments, with customizable report types and output formats to assess student feedback effectiveness.

Instructions

Create instructor-ready reports on peer review quality. Args: course_identifier: Canvas course code or ID assignment_id: Canvas assignment ID report_type: Report type (comprehensive, summary, individual) include_student_names: Whether to include student names format_type: Output format (markdown, html, text)

Input Schema

NameRequiredDescriptionDefault
assignment_idYes
course_identifierYes
format_typeNomarkdown
include_student_namesNo
report_typeNocomprehensive

Input Schema (JSON Schema)

{ "properties": { "assignment_id": { "anyOf": [ { "type": "string" }, { "type": "integer" } ], "title": "Assignment Id" }, "course_identifier": { "anyOf": [ { "type": "string" }, { "type": "integer" } ], "title": "Course Identifier" }, "format_type": { "default": "markdown", "title": "Format Type", "type": "string" }, "include_student_names": { "default": false, "title": "Include Student Names", "type": "boolean" }, "report_type": { "default": "comprehensive", "title": "Report Type", "type": "string" } }, "required": [ "course_identifier", "assignment_id" ], "type": "object" }

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/vishalsachdev/canvas-mcp'

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