Install
$ agentstack add mcp-kuria-mbatia-canvas-mcp-server ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Notioc Canvas MCP Server
A comprehensive Model Context Protocol (MCP) server that provides programmatic access to Canvas LMS through Claude Desktop and other MCP-compatible A### Composite Intelligence Tools (Phase 3)
getstudentdashboard - Your complete daily briefing in one query. Combines account notifications, upcoming work (categorized by urgency: Settings
- Select "New Access Token" under "Approved Integrations"
- Provide a purpose description (e.g., "Notioc MCP Server")
- Optionally set an expiration date
- Copy the generated token and store securely in your
.envfile
Detailed configuration instructions available in [SETUP.md](SETUP.md).
Development
Project Structure
notioc-canvas-mcp-server/
├── src/ # TypeScript source files
│ ├── server.ts # MCP server initialization
│ └── health-check.ts # Health monitoring
├── lib/ # Core library modules
│ ├── canvas-api.ts # Canvas API client
│ ├── pagination.ts # Pagination handling
│ ├── search.ts # Search functionality
│ ├── llamaparse.ts # Document processing
│ ├── file-cache.ts # Caching system
│ └── llm-guidance.ts # AI assistant guidance
├── tools/ # MCP tool implementations
│ ├── courses.ts # Course management tools
│ ├── grades.ts # Grade and analytics tools
│ ├── assignments.ts # Assignment tools
│ ├── files.ts # File management tools
│ └── ... # Additional tool modules
├── dist/ # Compiled JavaScript output
├── config/ # Configuration files
└── examples/ # Usage examples and templates
Building from Source
# Install dependencies
npm install
# Development build with watch mode
npm run dev
# Production build
npm run build
# Type checking
npm run type-check
# Linting
npm run lint
Contributing
Contributions are welcome. Please review the contributing guidelines in [CONTRIBUTING.md](CONTRIBUTING.md) before submitting pull requests.
Key areas for contribution:
- Additional MCP tool implementations
- Enhanced error handling and recovery
- Performance optimizations
- Documentation improvements
- Test coverage expansion
- Canvas API version compatibility
Support and Resources
Documentation
- Setup Guide: [SETUP.md](SETUP.md) - Complete installation and configuration instructions
- Docker Guide: [DOCKER-README.md](DOCKER-README.md) - Containerized deployment documentation
- Contributing Guide: [CONTRIBUTING.md](CONTRIBUTING.md) - Contribution guidelines and development workflow
- Usage Examples: [examples/usage-examples.md](examples/usage-examples.md) - Detailed usage scenarios
Support Channels
- Issues: Report bugs and request features via GitHub Issues
- Discussions: Community support and questions via GitHub Discussions
- Documentation: Comprehensive guides in the repository documentation
License
MIT License - see [LICENSE](LICENSE) file for complete terms and conditions.
Acknowledgments
Built on the Model Context Protocol (MCP) developed by Anthropic. Canvas LMS is a trademark of Instructure, Inc. LlamaParse is a product of LlamaIndex.
Notioc Canvas MCP Server - Intelligent Canvas LMS integration through the Model Context Protocol
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Kuria-Mbatia
- Source: Kuria-Mbatia/Canvas-MCP-server
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.