blatant-why vs mcp-server-chart
Side-by-side comparison to help you pick between these two MCP servers.
blatant-why by 001TMF | mcp-server-chart by antvis | |
|---|---|---|
| Stars | ★ 66 | ★ 4,068 |
| 30d uses | — | 10,239 |
| Score | 46 | 84 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | this month |
blatant-why · Summary
Multi-agent biologic design platform with 11 MCP servers for protein design campaigns.
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
blatant-why · Use cases
- Designing VHH nanobodies against specific targets like PD-L1
- Running multi-agent protein design campaigns for therapeutic antibodies
- Screening and ranking protein candidates based on structural quality and developability
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
blatant-why · Install
Install prerequisites: Node.js 18+, Python 3.11+, uv, and Claude Code.
# Install uv (Python package manager)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Install Claude Code
npm install -g @anthropic-ai/claude-code
# Initialize your project
mkdir my-campaign && cd my-campaign
npx blatant-why init
# Add API keys
cp .env.example .env
# Edit .env to add your Tamarind API key
# Start designing
claudeClaude Desktop Configuration (if applicable):
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"]
}
}
}