mcp-server-chart vs OpenStudy

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

	mcp-server-chart by antvis	OpenStudy by OpenStudy-dev
Stars	★ 4,068	★ 66
30d uses	10,239	—
Score	84	46
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	ProductivityAI / LLM Toolseducation
Language	TypeScript	Python
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.

OpenStudy · Summary

A self-hostable study dashboard with a built-in MCP server that enhances Claude's effectiveness for academic tasks.

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

OpenStudy · Use cases

During lectures, have Claude read course materials from your dashboard without uploading files
Automatically update study progress and topics through natural language commands
Create and manage course schedules, deliverables, and tasks directly via Claude

mcp-server-chart · Install

Installation

Install globally:

npm install -g @antv/mcp-server-chart

For 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"]
    }
  }
}

OpenStudy · Install

Installation Steps

**Prerequisites**: Docker + Docker Compose v2.30+, Node 20+, pnpm
**Clone repository**: git clone https://github.com/openstudy-dev/OpenStudy
**Install dependencies**: cd OpenStudy && cd web && pnpm install && cd ..
**Setup environment**: cp .env.example .env and fill in required values
**Deploy**: ./deploy.sh

**Claude Desktop Integration**: Add to Claude Desktop config:

{
  "mcpServers": {
    "openstudy": {
      "command": "uv",
      "args": ["run", "python", "-m", "app.server.mcp"],
      "env": {
        "OPENSTUDY_BASE_URL": "http://localhost:8000"
      }
    }
  }
}

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