Canvas LMS
MCP ServerFree** - MCP server for easy access to education data through your Canvas LMS instance.
Capabilities11 decomposed
canvas api authentication and session management
Medium confidenceManages OAuth2 and API token-based authentication with Canvas LMS instances, handling credential storage, token refresh, and session lifecycle. Implements MCP server-side credential management to securely bridge client requests to Canvas API endpoints without exposing raw tokens to downstream tools.
Implements MCP-native credential handling that keeps Canvas API tokens server-side, preventing credential leakage to client applications while maintaining stateful authentication across tool calls
Avoids the security risk of passing raw Canvas tokens to client-side tools by centralizing authentication at the MCP server boundary
course and enrollment data retrieval
Medium confidenceFetches structured course metadata, enrollment lists, and student-course relationships from Canvas API endpoints, transforming raw API responses into normalized data structures. Uses Canvas REST API pagination to handle large course rosters and implements filtering by course state, term, and enrollment type.
Wraps Canvas REST API pagination logic within MCP tools, abstracting away cursor-based pagination complexity and presenting normalized course/enrollment data to LLM agents without requiring them to understand Canvas API pagination semantics
Simpler than raw Canvas API calls for agents because it handles pagination transparently and normalizes response formats across different Canvas API versions
rubric and learning outcome assessment
Medium confidenceRetrieves rubric definitions, learning outcomes, and assessment criteria from Canvas, mapping rubric scores to learning objectives. Implements Canvas rubrics API to fetch rubric structures, extract criterion definitions and point scales, and correlate rubric assessments with learning outcomes.
Normalizes Canvas's heterogeneous rubric structures (point-based, scale-based, free-form) into a unified criterion-rating model, enabling agents to reason about assessment criteria without understanding Canvas's rubric schema variations
Provides structured rubric definitions that Canvas API returns in varying formats, allowing agents to understand grading criteria without manually parsing rubric JSON structures
assignment and submission data access
Medium confidenceRetrieves assignment definitions, submission records, and grading data from Canvas, including submission timestamps, student work artifacts, and rubric scores. Implements Canvas API calls to fetch assignments by course, map submissions to students, and extract grade information with support for both simple numeric grades and rubric-based assessments.
Normalizes Canvas's heterogeneous grading data (numeric grades, rubric assessments, pass/fail) into a unified submission object structure, allowing agents to reason about student work without understanding Canvas's internal grading schema variations
Abstracts away Canvas's complex rubric and submission API structure, presenting a flattened view that LLM agents can query directly without parsing nested rubric objects
discussion and communication thread retrieval
Medium confidenceFetches discussion topics, forum posts, and threaded conversations from Canvas, including message content, author metadata, and timestamps. Implements Canvas API calls to retrieve discussion topics by course, paginate through discussion entries, and reconstruct conversation threads with parent-child relationships.
Reconstructs Canvas discussion thread hierarchies from flat API responses by tracking parent_id relationships, enabling agents to traverse conversations as trees rather than flat lists
Provides threaded conversation structure that Canvas API returns as flat entries, allowing agents to understand discussion context without manually reconstructing parent-child relationships
user profile and account data retrieval
Medium confidenceFetches user account information including name, email, role, and profile metadata from Canvas. Implements Canvas API user endpoints to retrieve individual user profiles, search users by name or email, and extract role information (student, teacher, admin) for permission-aware operations.
Wraps Canvas user search and profile endpoints in MCP tools, providing agents with a simple query interface to resolve user identities without requiring knowledge of Canvas's user ID vs. login_id distinction
Simplifies user lookup for agents by abstracting Canvas's dual identifier system (user_id and login_id) and providing unified search across name and email fields
grade and assessment data aggregation
Medium confidenceAggregates grades across assignments, quizzes, and assessments for individual students or cohorts, computing cumulative scores and grade distributions. Implements Canvas gradebook API calls to fetch grade data, applies weighting rules, and calculates derived metrics like class average and grade percentiles.
Computes derived grade metrics (percentiles, class averages, risk scores) on top of Canvas gradebook data, enabling agents to perform comparative analysis without requiring raw grade arrays to be processed client-side
Provides aggregated grade statistics that Canvas API returns as individual assignment grades, allowing agents to reason about overall performance without manually computing class-wide metrics
course content and module navigation
Medium confidenceRetrieves course modules, lessons, and content items from Canvas, including module structure, item sequencing, and completion tracking. Implements Canvas modules API to fetch module hierarchies, map content items to modules, and track student progress through module completion states.
Flattens Canvas's nested module-item hierarchy into queryable structures, allowing agents to traverse course content as a directed graph without manually reconstructing parent-child relationships from API responses
Presents course structure as navigable modules and items, whereas raw Canvas API requires multiple calls to fetch modules and their items separately
calendar and event data retrieval
Medium confidenceFetches calendar events, assignment due dates, and course-related deadlines from Canvas, aggregating events across courses and filtering by date range. Implements Canvas calendar API to retrieve events, map events to courses, and extract deadline information for scheduling and reminder systems.
Aggregates assignment due dates and calendar events into a unified timeline, allowing agents to see all deadlines across courses in a single query rather than fetching assignments and calendar events separately
Combines Canvas calendar and assignment due date data into a single event stream, whereas raw Canvas API requires separate calls to calendar and assignment endpoints
file and attachment access with metadata
Medium confidenceRetrieves file metadata, attachment information, and download URLs from Canvas course files and submissions. Implements Canvas files API to list course files, extract file metadata (name, size, MIME type, upload date), and generate temporary download URLs for accessing file contents.
Generates temporary download URLs for Canvas files and submission attachments, enabling agents to reference file contents without requiring persistent storage or manual URL construction
Provides file metadata and download URLs in a single query, whereas raw Canvas API requires separate calls to fetch file objects and generate download URLs
announcement and notification retrieval
Medium confidenceFetches course announcements, system notifications, and communication messages from Canvas, including announcement content, author, and publication dates. Implements Canvas announcements API to retrieve announcements by course, filter by date, and extract notification metadata for communication tracking.
Retrieves announcements with full content and metadata in a single API call, allowing agents to incorporate instructor communications into responses without requiring separate HTML parsing or content extraction
Provides structured announcement data that Canvas API returns as HTML, enabling agents to reference announcements directly without manual HTML parsing
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with Canvas LMS, ranked by overlap. Discovered automatically through the match graph.
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Best For
- ✓Teams deploying Canvas LMS integrations through MCP servers
- ✓Developers building AI agents that need long-lived Canvas access
- ✓Educational institutions with centralized Canvas deployments
- ✓Educators building AI tutoring assistants that need course context
- ✓Administrators auditing enrollment across multiple courses
- ✓LMS integration developers needing normalized course/enrollment data
- ✓Learning outcome analytics systems that track competency development
- ✓Adaptive tutoring systems that target instruction based on outcome gaps
Known Limitations
- ⚠Token storage mechanism not specified in available documentation — may lack encryption at rest
- ⚠No built-in support for multi-tenant Canvas instances (one server per Canvas domain)
- ⚠Requires manual credential provisioning; no automated OAuth2 flow UI
- ⚠Pagination handled transparently but may introduce latency for institutions with 1000+ courses
- ⚠No built-in caching — repeated queries hit Canvas API directly, subject to rate limits
- ⚠Enrollment data is point-in-time; does not track historical enrollment changes
Requirements
Input / Output
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About
** - MCP server for easy access to education data through your Canvas LMS instance.
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