mcp-server-chart vs cve-mcp-server

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

	mcp-server-chart by antvis	cve-mcp-server by mukul975
Stars	★ 4,068	★ 566
30d uses	10,239	—
Score	84	53
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	SecurityDeveloper ToolsMonitoring
Language	TypeScript	Python
Last commit	this month	this month

mcp-server-chart · Summary

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

cve-mcp-server · Summary

Production-grade MCP server providing Claude with 27 security intelligence tools across 21 APIs for CVE research and threat analysis.

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

cve-mcp-server · Use cases

Security analysts triaging vulnerabilities and prioritizing patching decisions
DevOps teams scanning dependencies and GitHub advisories for vulnerabilities
Threat hunters investigating IPs, domains, and malware hashes across threat intelligence platforms

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"]
    }
  }
}

cve-mcp-server · Install

Installation

Prerequisites

Python 3.10+ (3.11 or 3.12 recommended)
pip or uv package manager
Git for cloning the repository
A terminal with access to environment variables

Step-by-step setup

# 1. Clone the repository
git clone https://github.com/mukul975/cve-mcp-server.git
cd cve-mcp-server

# 2. Create and activate a virtual environment
python -m venv venv

# macOS / Linux:
source venv/bin/activate

# Windows (PowerShell):
.\venv\Scripts\Activate.ps1

# 3. Install dependencies
pip install -e .

# 4. Copy and configure environment variables
cp .env.example .env
# Edit .env with your API keys

Claude Desktop Configuration

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "cve": {
      "command": "python",
      "args": ["-m", "cve_mcp_server"],
      "env": {
        "CVE_MCP_SERVER_API_KEYS": "YOUR_API_KEYS_HERE"
      }
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.