mcp-server-chart vs prometheus_mcp_server
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | prometheus_mcp_server by CaesarYangs | |
|---|---|---|
| Stars | ★ 4,068 | ★ 34 |
| 30d uses | 10,239 | — |
| Score | 84 | 35 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | MonitoringDeveloper ToolsOps & Infra |
| Language | TypeScript | Python |
| Last commit | this month | 14 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
prometheus_mcp_server · Summary
An MCP server for LLMs to query, analyze and interact with Prometheus databases.
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
prometheus_mcp_server · Use cases
- AI assistants analyzing system performance metrics from Prometheus
- Automated log analysis correlating metrics with system events
- DevOps workflows with AI-generated insights based on time-series data
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"]
}
}
}prometheus_mcp_server · Install
Installing via Smithery
npx -y @smithery/cli install @CaesarYangs/prometheus_mcp_server --client claudeManual Installation
**Prepare python environment**
cd ./src/prometheus_mcp_server
python3 -m venv .venv
source .venv/bin/activate**Install requirements**
pip install -r requirements.txtWith Claude Desktop
Add to your Claude Desktop config:
{
"mcpServers": {
"prometheus": {
"command": "uv",
"args": [
"--directory",
"/path/to/prometheus_mcp_server",
"run",
"server.py"
],
"env": {
"PROMETHEUS_HOST": "http://localhost:9090"
}
}
}
}