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mcp-server-chart vs MCP

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

mcp-server-chart
by antvis
MCP
by SelviAkdag
Stars★ 4,068★ 0
30d uses10,239
Score8433
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
Browser AutomationFile SystemDeveloper Tools
LanguageTypeScript
Last committhis month10 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 · Summary

Windows-specific MCP server with browser automation and file management tools that actually work without Docker or WSL.

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 · Use cases

  • Automating web browser tasks on Windows systems without virtualization
  • Managing files and directories through AI commands on Windows
  • Performing web searches and taking screenshots programmatically

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"]
    }
  }
}

MCP · Install

Installation

  1. Clone the repository: git clone https://github.com/SelviAkdag/MCP.git
  2. Navigate to the project: cd MCP
  3. Create and activate virtual environment:

``bash python -m venv venv venv\Scripts\activate ``

  1. Install npx globally: npm install -g npx
  2. Install Hugging Face Hub with MCP support: pip install "huggingface_hub[mcp]>=0.32.0"
  3. Login to Hugging Face: huggingface-cli login
  4. Install MCP servers: npm install @playwright/test @modelcontextprotocol/server-filesystem
  5. Install browsers: npx playwright install (requires admin prompt)
  6. Run browser agent: tiny-agents run agents/agent_browser.json

For Claude Desktop, add to your config.json:

{
  "mcpServers": {
    "mcp-windows": {
      "command": "python",
      "args": ["-m", "tiny_agents", "run", "/path/to/MCP/agents/agent_browser.json"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.