blatant-why vs time
Side-by-side comparison to help you pick between these two MCP servers.
blatant-why by 001TMF | time by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 66 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | ProductivityDeveloper ToolsCommunication |
| 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.
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
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
time · Use cases
- Assisting with international meeting scheduling across time zones
- Providing real-time time information for location-based queries
- Enabling time conversion for travel planning and itineraries
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):
time · Install
Installation Options
**Using uv (recommended):**
uvx mcp-server-time**Using PIP:**
pip install mcp-server-time
python -m mcp_server_time**Configure for Claude Desktop:**
{
"mcpServers": {
"time": {
"command": "uvx",
"args": ["mcp-server-time"]
}
}
}