mcp-server-chart vs mcp-chain-of-draft-prompt-tool
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | mcp-chain-of-draft-prompt-tool by brendancopley | |
|---|---|---|
| Stars | ★ 4,068 | ★ 19 |
| 30d uses | 10,239 | — |
| Score | 84 | 40 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsProductivityDeveloper Tools |
| Language | TypeScript | Python |
| Last commit | this month | 8 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-chain-of-draft-prompt-tool · Summary
An MCP server implementing Chain-of-Draft (CoD) reasoning to enhance LLM responses with reduced token usage.
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-chain-of-draft-prompt-tool · Use cases
- Cost-efficient LLM reasoning with reduced token usage
- Enhanced accuracy for complex problem-solving tasks
- Integration with Claude Desktop and Dive GUI for improved workflows
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-chain-of-draft-prompt-tool · Install
Installation
Python Installation
- Clone the repository
- Install dependencies:
``bash pip install -r requirements.txt ``
- Configure API keys in
.envfile:
`` ANTHROPIC_API_KEY=your_api_key_here ``
- Run the server:
``bash python server.py ``
Claude Desktop Integration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"chain-of-draft-prompt-tool": {
"command": "python3",
"args": ["/absolute/path/to/cod/server.py"],
"env": {
"ANTHROPIC_API_KEY": "your_api_key_here"
}
}
}
}