mcp-server-chart vs MCP_Server
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | MCP_Server by ThomasJanssen-tech | |
|---|---|---|
| Stars | ★ 4,068 | ★ 1 |
| 30d uses | 10,239 | — |
| Score | 84 | 28 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsWeb ScrapingDeveloper Tools |
| Language | TypeScript | Python |
| Last commit | this month | 10 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_Server · Summary
Python MCP server for querying Crunchbase company data through Claude Desktop.
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_Server · Use cases
- Researching companies and their data on Crunchbase
- Analyzing market trends through company information
- Competitive intelligence gathering
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_Server · Install
Installation
- Install UV
On Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"On MacOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh- Download Claude Desktop
Download from: https://claude.ai/download
- Clone the repository:
git clone https://github.com/ThomasJanssen-tech/MCP_Server
cd MCP_Server- Add Bright Data API Key
Get $15 Bright Data credits: https://brdta.com/tomstechacademy Rename .env.example to .env and add your Bright Data API key
- Configure Claude Desktop
uv run mcp install main.pyUsage
Execute the following commands:
uv run download_data.py
uv run ingest_data.py