mcp-server-chart vs EDDI
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | EDDI by labsai | |
|---|---|---|
| Stars | ★ 4,068 | ★ 353 |
| 30d uses | 10,239 | — |
| Score | 84 | 50 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsOps & Infra |
| Language | TypeScript | Java |
| 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.
EDDI · Summary
EDDI is a Java-based multi-agent orchestration middleware with native MCP support for production-grade AI systems.
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
EDDI · Use cases
- Enterprise multi-agent system orchestration with automatic routing based on context and intent
- Compliance-governed AI deployment with audit trails for regulated industries
- Slack-integrated AI agents for team collaboration with multi-agent debate capabilities
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"]
}
}
}EDDI · Install
Quick Install
The fastest way to get EDDI running is the one-command installer:
# Linux / macOS / WSL2
curl -fsSL https://raw.githubusercontent.com/labsai/EDDI/main/install.sh | bash
# Windows (PowerShell)
Invoke-WebRequest -UseBasicParsing -Uri "https://raw.githubusercontent.com/labsai/EDDI/main/install.ps1" -OutFile "install.ps1"
Unblock-File .\install.ps1
.\install.ps1MCP Configuration
To use with Claude Desktop, add this to your claude_desktop_config.json:
{
"mcpServers": {
"eddi": {
"command": "docker",
"args": ["run", "--rm", "-i", "labsai/eddi", "mcp"]
}
}
}