mcp-server-chart vs mcp-server-python-template
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | mcp-server-python-template by sontallive | |
|---|---|---|
| Stars | ★ 4,068 | ★ 17 |
| 30d uses | 10,239 | — |
| Score | 84 | 37 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsOther |
| 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.
mcp-server-python-template · Summary
Python template for building MCP servers with clear documentation and example implementations.
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-python-template · Use cases
- Rapid prototyping of new MCP servers in Python
- Learning MCP implementation patterns through examples
- Building custom AI tools that integrate with external services
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-python-template · Install
Installation
- Clone this repository:
git clone https://github.com/sontallive/mcp-server-python-template.git
cd mcp-server-python-template- Create a virtual environment and install dependencies:
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install -e .Claude Desktop Configuration
Add the following to your Claude Desktop configuration:
{
"mcpServers": {
"mcp-python-template": {
"command": "python",
"args": ["server.py"],
"env": {}
}
}
}