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mcp-server-chart vs sub-agents-mcp

Side-by-side comparison to help you pick between these two MCP servers.

mcp-server-chart
by antvis
sub-agents-mcp
by shinpr
Stars★ 4,068★ 83
30d uses10,239
Score8446
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
Developer ToolsAI / LLM ToolsProductivity
LanguageTypeScriptTypeScript
Last committhis monththis month

mcp-server-chart · Summary

A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.

sub-agents-mcp · Summary

Define task-specific AI sub-agents in Markdown for use with any MCP-compatible tool.

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

sub-agents-mcp · Use cases

  • Code review and quality analysis using specialized agents
  • Test generation for code modules with custom test-writer agents
  • Documentation generation with purpose-built doc-writer agents

mcp-server-chart · Install

Installation

Install globally:

npm install -g @antv/mcp-server-chart

For 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"]
    }
  }
}

sub-agents-mcp · Install

Installation

  1. Install an execution engine (cursor-agent, claude, gemini, or codex CLI)
  2. Configure MCP in your IDE:

- Cursor: ~/.cursor/mcp.json - Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "sub-agents": {
      "command": "npx",
      "args": ["-y", "sub-agents-mcp"],
      "env": {
        "AGENTS_DIR": "/absolute/path/to/your-agents-folder",
        "AGENT_TYPE": "cursor"  // or "claude", "gemini", or "codex"
      }
    }
  }
}
  1. Create agent markdown files in your agents folder
Comparison generated from public README + GitHub signals. Last updated automatically.