mcp-server-chart vs concierge
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | concierge by concierge-hq | |
|---|---|---|
| Stars | ★ 4,068 | ★ 534 |
| 30d uses | 10,239 | — |
| Score | 84 | 53 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsProductivity |
| Language | TypeScript | Python |
| Last commit | this month | 1 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
concierge · Summary
Concierge is a Python SDK that enhances MCP servers with progressive tool disclosure, workflow state management, and semantic search capabilities.
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
concierge · Use cases
- E-commerce platforms with multi-step purchasing workflows
- Complex API management with hundreds of endpoints
- Multi-agent systems requiring state persistence across interactions
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"]
}
}
}concierge · Install
Install Concierge SDK using pip:
pip install concierge-sdkFor new projects, scaffold with:
concierge init my-project
cd my-project
python main.pyTo wrap an existing FastMCP server:
from concierge import Concierge
from mcp.server.fastmcp import FastMCP
app = Concierge(FastMCP("my-server"))For Claude Desktop integration, add to config.json:
{
"mcpServers": {
"concierge": {
"command": "python",
"args": ["-m", "concierge", "run"],
"env": {}
}
}
}