TypeScript code execution API for Canvas MCP
If you want an AI assistant working directly with Canvas MCP, the canvas mcp mcp server is the bridge. TypeScript code execution API for Canvas MCP.
MCP server for Canvas LMS with 99 tools and 8 agent skills. Works with Claude Desktop, Cursor, Codex, Windsurf, and 40+ other agents.
The Canvas MCP Server bridges the gap between AI assistants and Canvas Learning Management System, providing both students and educators with an intelligent interface to their Canvas environment. Built on the Model Context Protocol (MCP), it enables natural language interactions with Canvas data through any MCP-compatible client.
Once connected, the assistant can call these 3 tools directly:
Approach — Best Forbulk_grade_submissions — Batch grading 10-29 itemsexecute_typescript — 30+ items, custom logicThe server is distributed via npm as skills, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply 2 environment variables: CANVAS_API_TOKEN, CANVAS_API_URL. Keep credentials in your client's env block or a secrets manager rather than committing them.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Canvas MCP sits in that group, and the shape of its toolset — Approach, bulk_grade_submissions, execute_typescript — tells you what it is really for. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Approach | Best For |
| bulk_grade_submissions | Batch grading 10-29 items |
| execute_typescript | 30+ items, custom logic |
{
"mcpServers": {
"canvas-api": {
"command": "/absolute/path/to/canvas-mcp/.venv/bin/canvas-mcp-server"
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| CANVAS_API_TOKEN | Credential the server authenticates with. | Yes |
| CANVAS_API_URL | Endpoint or connection string the server talks to. | Yes |
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