mcp-server-chart vs mcp_chatbot
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | mcp_chatbot by keli-wen | |
|---|---|---|
| Stars | ★ 4,068 | ★ 247 |
| 30d uses | 10,239 | — |
| Score | 84 | 46 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsProductivity |
| 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_chatbot · Summary
A Python chatbot implementation compatible with MCP, supporting terminal and Streamlit interfaces with customizable LLM integration.
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_chatbot · Use cases
- Building chatbot applications with MCP tool integration capabilities
- Creating interactive terminal interfaces with LLM and MCP tool support
- Developing web-based chatbots with real-time streaming responses and tool visualization
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_chatbot · Install
Installation
- Clone the repository:
git clone git@github.com:keli-wen/mcp_chatbot.git
cd mcp_chatbot- Set up virtual environment and install dependencies:
pip install uv
uv venv .venv --python=3.10
source .venv/bin/activate # or .venv\Scripts\activate for Windows
uv pip install -r requirements.txt- Configure environment:
cp .env.example .env
# Edit .env with your API keys and paths- Configure MCP servers in
mcp_servers/servers_config.json
For Claude Desktop, add to claude_desktop_config.json:
{
"mcpServers": {
"mcp_chatbot": {
"command": "python",
"args": ["-m", "mcp_chatbot.server"]
}
}
}