What prerequisites are needed to run Canvas MCP Server?
Node.js 18 or later, a Canvas LMS instance, a Canvas API access token, and the Cursor client for integration.
@enkhbold470
Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Model Context Protocol (MCP) server implementation for the Canvas LMS API. It provides tools to interact with Canvas programmatically, such as listing courses with optional enrollment type filtering, and integrates with the Cursor client for AI-assisted workflows.
Install dependencies (npm install), set environment variables CANVAS_BASE_URL and CANVAS_ACCESS_TOKEN, build (npm run build), and start (npm start). Then configure the server in Cursor’s MCP settings using the provided JSON snippet and restart Cursor to access the tools.
list-courses-help) for tool usage guidanceNode.js 18 or later, a Canvas LMS instance, a Canvas API access token, and the Cursor client for integration.
Add the server configuration in Cursor’s MCP settings using the provided JSON snippet, specifying the command `npm start` and the correct working directory. Then restart Cursor.
The server offers `list_courses` (with optional `enrollment_type` parameter) and `list-courses-help`, an interactive prompt.
Check that environment variables are set correctly, verify your Canvas API token has necessary permissions, review Cursor’s MCP server logs for errors, and ensure the server path in Cursor’s configuration is correct.
Yes. Add new API methods to the `CanvasAPI` class, register them as tools using `server.tool()`, and create help prompts with `server.prompt()`. Build and test your changes.

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