Jump to Content AI-powered Model Context Protocol server for Canvas LMS API integration with Claude Desktop
Watch how to integrate Atomic Canvas with Claude Desktop and explore Canvas API documentation using natural language queries.
Atomic Canvas is a comprehensive Model Context Protocol (MCP) server that provides AI-powered access to Canvas LMS API documentation. It combines semantic search with intelligent tools, prompts, and resources to help developers work with Canvas APIs more effectively.
This service can be integrated with Claude Desktop or other compatible MCP consumers:
{
"mcpServers": {
"AtomicCanvasAPIDocs": {
"command": "npx",
"args": [
"mcp-remote",
"https://canvas-docs.atomicjolt.ai/mcp"
]
}
}
}
Perform semantic search across Canvas API documentation using vector embeddings to find the most relevant endpoints for your query.
Retrieve detailed information about specific Canvas API endpoints, including parameters, methods, authentication requirements, and examples.
Get a comprehensive list of all available Canvas API endpoint paths organized by category and functionality.
Get comprehensive explanations of Canvas API endpoints with authentication details, parameters, request/response formats, and code examples.
Generate complete integration code for Canvas APIs with error handling, authentication, and best practices included.
Troubleshoot Canvas API problems with detailed debugging steps and common solutions for typical integration issues.
Compare multiple Canvas API endpoints to choose the best one for your specific use case and requirements.
These resources provide comprehensive documentation and guides accessible through the MCP interface:
URI: canvas://api/directory
Complete catalog of all Canvas API endpoints with structured metadata. Includes endpoint paths, descriptions, and reference information for systematic API exploration.
URI Pattern: canvas://api/endpoint/{path}
Dynamic resources for each specific Canvas API endpoint. Access
detailed documentation for any endpoint by its path (e.g.,
canvas://api/endpoint/courses.json).
URI: canvas://api/categories
Organized groupings of Canvas APIs by functionality:
URI: canvas://api/openapi
Machine-readable OpenAPI 3.0 specification generated from Canvas API documentation. Includes schemas, parameters, and response definitions for automated tooling integration.
URI: canvas://guides/authentication
Comprehensive authentication documentation covering:
URI Pattern: canvas://examples/{language}
Practical implementation examples in 12+ programming languages:
JavaScript/TypeScript • Python • PHP • Ruby • Java • C# • Go • Swift • Kotlin • Rust • cURL • More...
URI: canvas://guides/best-practices
Expert guidelines for Canvas API integration including:
When you ask Claude about Canvas APIs, it can automatically access these resources to provide accurate, up-to-date information. The MCP server dynamically loads content from these URIs based on your queries, ensuring you always get the most relevant documentation and examples.
Pro Tip: Claude can access specific resources directly. Try asking: "Load the authentication guide resource" or "Show me Python examples from the code examples resource"