mcp-server-chart vs Train-in-Silence
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | Train-in-Silence by hlpun | |
|---|---|---|
| Stars | ★ 4,068 | ★ 68 |
| 30d uses | 10,239 | — |
| Score | 84 | 46 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsOps & Infra |
| Language | TypeScript | Python |
| 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.
Train-in-Silence · Summary
Task-aware MCP server that calculates optimal GPU configurations across 10+ cloud providers for LLM fine-tuning.
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
Train-in-Silence · Use cases
- LLM researchers selecting cost-effective GPU options for model training
- Developers optimizing fine-tuning workflows across cloud providers
- Teams comparing GPU performance and costs before starting training projects
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"]
}
}
}Train-in-Silence · Install
Installation
Option A: Claude Code (recommended)
pip install train-in-silence
claude mcp add tis --scope user -- tis-mcpOption B: CLI
pip install train-in-silenceOption C: API Server
uvicorn tis.api.server:appClaude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"tis": {
"command": "python",
"args": ["-m", "tis.mcp"]
}
}
}