mcp-server-chart vs civic-ai-tools
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | civic-ai-tools by npstorey | |
|---|---|---|
| Stars | ★ 4,068 | ★ 30 |
| 30d uses | 10,239 | — |
| Score | 84 | 44 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM Toolsgovernment-dataDeveloper Tools |
| 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.
civic-ai-tools · Summary
MCP server connecting AI assistants to government open data with anti-hallucination 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
civic-ai-tools · Use cases
- Journalists analyzing public service complaints and trends
- Government workers accessing housing and health code violation data
- Researchers comparing demographic and economic indicators across cities
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"]
}
}
}civic-ai-tools · Install
Quick start (recommended)
- Click the **"Open in GitHub Codespaces"** button in the repository
- Wait for environment to build (everything installs automatically)
- Open **Copilot Chat** in Agent mode and start asking questions
Local setup
git clone https://github.com/npstorey/civic-ai-tools.git
cd civic-ai-tools
cp .env.example .env
./scripts/setup.shClaude Desktop Configuration
Add this to your Claude Desktop config:
{
"mcpServers": {
"civic-ai-tools": {
"command": "uv",
"args": ["run", "mcp/server.py"],
"env": {
"SOCRATA_APP_TOKEN": "YOUR_TOKEN_HERE"
}
}
}
}