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mcp-server-chart vs pentester-mcp

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

mcp-server-chart
by antvis
pentester-mcp
by halilkirazkaya
Stars★ 4,068★ 34
30d uses10,239
Score8444
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
SecurityDeveloper ToolsOps & Infra
LanguageTypeScriptPython
Last committhis month2 mo ago

mcp-server-chart · Summary

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

pentester-mcp · Summary

MCP server integrating 200+ penetration testing tools for AI assistants with Docker sandbox security.

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

pentester-mcp · Use cases

  • AI-powered penetration testing where assistants autonomously discover vulnerabilities and execute appropriate tools
  • Security education and training where learners can observe ethical hacking techniques through AI interactions
  • Red team operations where AI assistants assist in identifying security flaws in authorized systems

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"]
    }
  }
}

pentester-mcp · Install

Method A: Docker Sandbox (Recommended & Secure)

  1. Clone the repository:
git clone https://github.com/halilkirazkaya/pentester-mcp.git
cd pentester-mcp
  1. Select your Tools (configs/*.yaml):

Open your target configuration file in the configs/ directory (e.g., example-config.yaml) and set true for any tool you wish to enable.

  1. Build and Run the Sandbox:
docker compose up -d --build
  1. Add to Claude Desktop:

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "pentester_mcp": {
      "command": "docker",
      "args": [
        "exec",
        "-i",
        "pentester-mcp",
        "/app/.venv/bin/python",
        "/app/server.py"
      ]
    }
  }
}

Method B: Local Execution (Fastest Setup)

  1. Clone and Setup Virtual Environment:
git clone https://github.com/halilkirazkaya/pentester-mcp.git
cd pentester-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
  1. Configure your MCP client to use the specific tools from your local environment.
Comparison generated from public README + GitHub signals. Last updated automatically.