Can I build custom multi-step pipelines?

Yes, ToolUniverse is designed for tool composition, allowing you to chain multiple tools together for tasks like target discovery leading into virtual screening.

Does ToolUniverse require a GPU for searching tools?

While semantic search can utilize a GPU, ToolUniverse also offers LLM-based and keyword-based discovery methods that work perfectly without specialized hardware.

What scientific domains are supported by ToolUniverse?

ToolUniverse supports a broad range of disciplines including bioinformatics, genomics, proteomics, cheminformatics, structural biology, and clinical research.

How many tools are available through this Claude skill?

The skill provides access to over 600 standardized scientific tools, including machine learning models, datasets, and major APIs like UniProt and ChEMBL.

How does this skill integrate with Claude Code?

It integrates via the Model Context Protocol (MCP), allowing Claude to natively discover and execute scientific tools as part of its coding and analysis reasoning.

ToolUniverse Scientific Workflow Suite

Name: ToolUniverse Scientific Workflow Suite
Author: jackspace

byjackspace

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データサイエンスとML

Enables Claude to perform complex scientific research by providing access to over 600 bioinformatics, genomics, and cheminformatics tools.

概要

ToolUniverse is a comprehensive ecosystem that empowers Claude to act as a research scientist by providing standardized access to over 600 specialized scientific resources. This skill bridges the gap between AI agents and sophisticated computational biology, allowing for seamless tool discovery, execution, and multi-step pipeline composition. Whether you are performing drug discovery, protein structure prediction, or genomic analysis, ToolUniverse provides the standardized interaction protocols necessary to access critical databases like OpenTargets, PubChem, and UniProt directly within your development workflow.

主な機能

Unified access to 600+ scientific tools, models, and APIs
Standardized AI-Tool Interaction Protocol for reliable execution
Native Model Context Protocol (MCP) integration for Claude Desktop/Code
Semantic and keyword-based tool discovery for research tasks
Multi-step research pipeline composition for complex workflows
2 GitHub stars

ユースケース

Automating drug discovery pipelines from target identification to virtual screening
Retrieving and processing structural biology data from PDB and AlphaFold
Conducting genomic analysis including variant annotation and gene expression workflows

概要

主な機能

Unified access to 600+ scientific tools, models, and APIs
Standardized AI-Tool Interaction Protocol for reliable execution
Native Model Context Protocol (MCP) integration for Claude Desktop/Code
Semantic and keyword-based tool discovery for research tasks
Multi-step research pipeline composition for complex workflows
2 GitHub stars

ユースケース

Automating drug discovery pipelines from target identification to virtual screening
Retrieving and processing structural biology data from PDB and AlphaFold
Conducting genomic analysis including variant annotation and gene expression workflows