mcp-server-chart vs masquerade
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | masquerade by postralai | |
|---|---|---|
| Stars | ★ 4,068 | ★ 76 |
| 30d uses | 10,239 | — |
| Score | 84 | 43 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | SecurityAI / LLM ToolsFile System |
| Language | TypeScript | Python |
| Last commit | this month | 9 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
masquerade · Summary
Masquerade MCP is a privacy firewall for LLMs that redacts sensitive data from PDFs before processing.
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
masquerade · Use cases
- Processing legal contracts with sensitive client information before AI analysis
- Redacting personal health information from medical records before LLM review
- Protecting confidential business data in internal documents when using AI assistants
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"]
}
}
}masquerade · Install
Installation Options
**Option 1: Automated Setup**
curl -O https://raw.githubusercontent.com/postralai/masquerade/main/setup.sh && bash setup.sh**Option 2: Manual Setup**
- Create a virtual environment with Python 3.10-3.12
python3.12 -m venv pdfmcp
source pdfmcp/bin/activate- Install the repo:
pip install git+https://github.com/postralai/masquerade@main- Configure Claude:
python -m masquerade.configure_claude- Add the following to your
claude_desktop_config.json:
{
"mcpServers": {
"pdf-redaction": {
"command": "/path/to/python",
"args": ["/path/to/mcp_pdf_redaction.py"],
"env": {
"TINFOIL_API_KEY": "your_api_key"
}
}
}
}