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blatant-why

by 001TMF·66·Score 46

Multi-agent biologic design platform with 11 MCP servers for protein design campaigns.

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Overview

Blatant-Why is an AI-powered biologics design campaign agent that orchestrates multiple specialized tools through 11 MCP servers. It integrates BoltzGen, PXDesign, Protenix and 200+ cloud tools for antibody, nanobody, and de novo binder design. The platform enables end-to-end design campaigns from target research to lab-ready candidate ranking, with support for both cloud compute (via Tamarind Bio) and local GPU processing.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Designing VHH nanobodies against specific targets like PD-L1
you:Running multi-agent protein design campaigns for therapeutic antibodies
you:Screening and ranking protein candidates based on structural quality and developability
you:What compute options are available?
you:How does it integrate with Claude Code?

When to choose this

Choose Blatant-Why when you need a comprehensive, end-to-end protein design solution that integrates multiple tools and AI models through Claude Code without requiring specialized infrastructure.

When NOT to choose this

Don't choose this if you're looking for a standalone tool that works outside of Claude Code, or if you require more control over the underlying computational methods than the abstraction layer provides.

Tools this server exposes

10 tools extracted from the README
  • pdb

    Protein Data Bank queries

  • uniprot

    UniProt protein annotation

  • sabdab

    Structural Antibody Database queries

  • tamarind

    Tamarind Bio cloud compute

  • screening

    Screening battery orchestration

  • cloud

    Cloud compute abstraction

  • campaign

    Campaign state management

  • research

    Literature and target research

  • local_compute

    Local GPU compute dispatch

  • knowledge

    JSON-backed campaign knowledge store

Note: Tool names were extracted from the MCP Servers table in the README. Descriptions are taken directly from the table, but no detailed signatures or specific usage examples were provided.

Comparable tools

proteins-plus-mcpfoldseek-mcpbio-mcpopenfold-mcp

Installation

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
claude

Claude Desktop Configuration (if applicable):

FAQ

What compute options are available?
Blatant-Why supports Tamarind Bio (free tier available), local GPU compute, and SSH remote compute. Tamarind Bio provides access to 200+ structural biology tools without requiring local hardware.
How does it integrate with Claude Code?
The platform is designed specifically for Claude Code, providing 11 MCP servers, 16 agents, and 14 skills that extend Claude's capabilities for protein design through the CLAUDE.md orchestration file.

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Last updated · Auto-generated from public README + GitHub signals.