mcp-server-chart vs SQL_MCP_Server
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | SQL_MCP_Server by pawankumar94 | |
|---|---|---|
| Stars | ★ 4,068 | ★ 13 |
| 30d uses | 10,239 | — |
| Score | 84 | 36 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | DatabaseDeveloper ToolsAI / LLM Tools |
| Language | TypeScript | Python |
| Last commit | this month | 11 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
SQL_MCP_Server · Summary
SQLGenius is an MCP server that converts natural language to SQL queries using Gemini Pro with BigQuery integration.
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
SQL_MCP_Server · Use cases
- Business analysts exploring data without writing SQL
- Data teams creating dashboards for non-technical stakeholders
- Developers prototyping queries before implementation
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"]
}
}
}SQL_MCP_Server · Install
Installation
- Clone the repository:
git clone https://github.com/pawankumar94/sql_mcp_server.git
cd sql_mcp_server- Install dependencies:
pip install -r requirements.txt- Set up environment variables:
cp .env.example .env
# Edit .env with your BigQuery credentials- Launch with Streamlit:
streamlit run streamlit_app.pyFor Claude Desktop integration, add this to your config.json:
{
"mcpServers": {
"sqlgenius": {
"command": "python",
"args": ["path/to/sql_mcp_server/sql_mcp_server.py"]
}
}
}