AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.
{
"mcpServers": {
"blatant-why": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 17 days ago. 44 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Commercial platforms wrap open-source tools behind paywalls and call it a revolution.
BY gives you direct access through Claude Code. No platform fees. Your tools, your compute, your designs.
Source: trust us bro
You don't need to be a developer. If you can open a terminal and paste commands, you can run BY.
| Tool | Install | Check |
|---|---|---|
| Node.js 18+ | nodejs.org | node --version |
| Python 3.11+ | python.org | python3 --version |
| uv | curl -LsSf https://astral.sh/uv/install.sh | sh | uv --version |
| Claude Code | npm install -g @anthropic-ai/claude-code | claude --version |
mkdir my-campaign && cd my-campaign
npx blatant-why init
This scaffolds everything: 11 MCP servers, 16 agents, 14 skills, 11 slash commands, and a CLAUDE.md orchestration file. Takes about 30 seconds.
cp .env.example .env
# Open .env and add your Tamarind key (see Compute Setup below)
claude
Then just tell it what you want:
> "Design VHH nanobodies against PD-L1"
Or use the guided workflow:
> /by:plan-campaign
Or if it's your first time:
> /by:welcome
That's it. Claude Code handles the rest -- research, design, screening, and ranking.
Give it a target protein. It researches across PDB, UniProt, and SAbDab. It plans a design campaign. It submits compute jobs to Tamarind Bio (free tier, no GPU required). It screens every design for structural quality, sequence liabilities, and developability. It ranks candidates by composite score. You get a table of lab-ready binders.
The whole pipeline runs inside Claude Code. No platform. No dashboard. No vendor lock-in.
| Component | Count | Description |
|---|---|---|
| MCP Servers | 11 | Biological databases, cloud compute, screening, campaign state, knowledge store |
| Agents | 16 | Research, design, screening, evaluation, lab integration, and more |
| Skills | 14 | BoltzGen, Protenix, PXDesign, scoring, epitope analysis, campaign management |
| Slash Commands | 11 | Campaign control from the Claude Code prompt |
| Server | Role |
|---|---|
pdb | Protein Data Bank queries |
uniprot | UniProt protein annotation |
sabdab | Structural Antibody Database |
screening | Screening battery orchestration |
tamarind | Tamarind Bio cloud compute |
cloud | Cloud compute abstraction |
adaptyv | Adaptyv Bio lab submission (gated) |
campaign | Campaign state management |
research | Literature and target researc |