mcp-canvas-lms vs memory

Side-by-side comparison to help you pick between these two MCP servers.

	mcp-canvas-lms by DMontgomery40	memory by modelcontextprotocol
Stars	★ 97	★ 85,748
30d uses	—	—
Score	49	77
Official	—	✓
Categories	educationProductivityDeveloper Tools	Knowledge GraphAI / LLM ToolsProductivity
Language	JavaScript	TypeScript
Last commit	this month	this month

mcp-canvas-lms · Summary

Comprehensive MCP server for Canvas LMS with 54+ tools for students, instructors, and administrators.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

mcp-canvas-lms · Use cases

Automate course management tasks for instructors including creating assignments, grading submissions, and managing student enrollments
Help students track their academic progress by checking grades, upcoming assignments, and module completion status
Enable Canvas administrators to manage user accounts, generate institutional reports, and oversee course hierarchies

memory · Use cases

Personalizing AI assistant interactions by remembering user preferences, history, and relationships
Building context-aware chat applications that maintain conversation history
Creating knowledge bases that persist across AI model sessions

mcp-canvas-lms · Install

Installation

Claude Desktop Integration (Recommended)

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "canvas-mcp-server": {
      "command": "npx",
      "args": ["-y", "canvas-mcp-server"],
      "env": {
        "CANVAS_API_TOKEN": "your_token_here",
        "CANVAS_DOMAIN": "your_school.instructure.com"
      }
    }
  }
}

NPM Package

npm install -g canvas-mcp-server
export CANVAS_API_TOKEN="your_token_here"
export CANVAS_DOMAIN="your_school.instructure.com"
canvas-mcp-server

Docker

docker run -d \
  --name canvas-mcp \
  -p 3000:3000 \
  -e CANVAS_API_TOKEN="your_token" \
  -e CANVAS_DOMAIN="school.instructure.com" \
  -e MCP_TRANSPORT="streamable-http" \
  ghcr.io/dmontgomery40/mcp-canvas-lms:latest

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.