mcp-server-chart vs OmniMCP
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | OmniMCP by OpenAdaptAI | |
|---|---|---|
| Stars | ★ 4,068 | ★ 71 |
| 30d uses | 10,239 | — |
| Score | 84 | 37 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Browser AutomationDeveloper ToolsAI / LLM Tools |
| Language | TypeScript | Python |
| Last commit | this month | 14 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
OmniMCP · Summary
OmniMCP enables AI models to understand and interact with UI through visual perception and precise control using MCP.
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
OmniMCP · Use cases
- Automating complex UI interactions based on visual understanding
- Testing web applications with AI-driven test scenarios
- Creating visual AI agents that can operate existing software interfaces
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"]
}
}
}OmniMCP · Install
# Clone and install
git clone https://github.com/OpenAdaptAI/OmniMCP.git
cd OmniMCP
./install.sh
# Configure environment
cp .env.example .env
# Edit .env with your API keys
# Activate environment
source .venv/bin/activateFor Claude Desktop integration, add to your config.json:
{
"mcpServers": {
"omnimcp": {
"command": "uv",
"args": ["run", "python", "path/to/omnimcp/mcp_server.py"]
}
}
}