mcp-server-chart vs MCP-GROQ
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | MCP-GROQ by rahulsamant37 | |
|---|---|---|
| Stars | ★ 4,068 | ★ 1 |
| 30d uses | 10,239 | — |
| Score | 84 | 28 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsSearchDeveloper Tools |
| Language | TypeScript | Python |
| Last commit | this month | 13 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
MCP-GROQ · Summary
MCP-GROQ provides a suite of AI tools for search, mathematics, and news retrieval using MCP framework.
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
MCP-GROQ · Use cases
- Search the web for current information using DuckDuckGo with content extraction
- Perform mathematical operations with natural language expression processing
- Retrieve and process technology news from reputable sources like Ars Technica
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"]
}
}
}MCP-GROQ · Install
Installation
- Install UV package manager:
curl -sSf https://install.ultraviolet.rs | sh
# or with pip
pip install uv- Clone and install dependencies:
git clone https://github.com/rahulsamant37/mcp-tools.git
cd mcp-tools
uv venv
source .venv/bin/activate # On macOS/Linux
uv pip sync- Create
.envfile with your Groq API key:
GROQ_API_KEY=your_groq_api_key_here- Install required MCP package and configure Claude Desktop:
uv pip install mcpAdd to Claude Desktop config:
{
"mcpServers": {
"groq-tools": {
"command": "python",
"args": ["-m", "mcp.server.groq-tools"],
"env": {
"GROQ_API_KEY": "your-api-key"
}
}
}
}