mcp-server-chart vs mcp-canvas-lms
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | mcp-canvas-lms by DMontgomery40 | |
|---|---|---|
| Stars | ★ 4,068 | ★ 97 |
| 30d uses | 10,239 | — |
| Score | 84 | 49 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | educationProductivityDeveloper Tools |
| Language | TypeScript | JavaScript |
| Last commit | this month | this month |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
mcp-canvas-lms · Summary
Comprehensive MCP server for Canvas LMS with 54+ tools for students, instructors, and administrators.
mcp-server-chart · Use cases
- Data analysts creating visual reports from datasets
- AI assistants generating custom charts based on user requests
- Web applications embedding visualization capabilities via HTTP API
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
mcp-server-chart · Install
Installation
Install globally:
npm install -g @antv/mcp-server-chartFor Desktop Apps (e.g., Claude Desktop, VSCode):
{
"mcpServers": {
"mcp-server-chart": {
"command": "npx",
"args": ["-y", "@antv/mcp-server-chart"]
}
}
}For Windows:
{
"mcpServers": {
"mcp-server-chart": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
}
}
}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-serverDocker
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