Can I use ToolUniverse for drug discovery?

Yes, it is specifically designed for drug discovery workflows, allowing you to chain tools for target identification, molecular property calculation, and virtual screening.

Does this skill integrate with the Model Context Protocol (MCP)?

Yes, ToolUniverse supports MCP, allowing it to be used as a server for Claude Desktop and Claude Code for seamless tool interaction.

How do I find a specific tool within the ecosystem?

You can use built-in discovery tools like 'Tool_Finder_LLM' to perform semantic searches using natural language descriptions of the task you want to accomplish.

What scientific domains are supported?

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

What is ToolUniverse for Claude?

ToolUniverse is a specialized skill that provides Claude with a standardized interface to over 600 scientific tools and databases, enabling automated research and data analysis.

ToolUniverse Scientific Workflows

Name: ToolUniverse Scientific Workflows
Author: Microck

byMicrock

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Data Science & ML

Automates complex scientific research workflows and tool discovery across bioinformatics, genomics, and drug discovery domains.

About

ToolUniverse is a comprehensive ecosystem designed to transform AI agents into capable research scientists by providing standardized access to over 600 specialized scientific tools. It bridges the gap between large language models and domain-specific resources like AlphaFold, OpenTargets, and PubChem, enabling researchers to discover tools, execute computational biology tasks, and compose multi-step pipelines. Whether analyzing gene expression, predicting protein structures, or conducting virtual drug screenings, this skill provides the necessary infrastructure for automated, reproducible scientific discovery directly within the Claude environment.

Key Features

Access to 600+ standardized scientific tools, models, and datasets
Seamless integration with databases like UniProt, PDB, ChEMBL, and OpenTargets
Multi-step research pipeline composition for complex discovery tasks
81 GitHub stars
Semantic tool discovery using natural language and LLM-based search
Standardized execution for bioinformatics and cheminformatics workflows

Use Cases

Automated drug discovery pipelines from target identification to virtual screening
Bioinformatics analysis including RNA-seq, pathway enrichment, and variant annotation
Structural biology tasks such as protein structure prediction and binding site detection

About

Key Features

Access to 600+ standardized scientific tools, models, and datasets
Seamless integration with databases like UniProt, PDB, ChEMBL, and OpenTargets
Multi-step research pipeline composition for complex discovery tasks
81 GitHub stars
Semantic tool discovery using natural language and LLM-based search
Standardized execution for bioinformatics and cheminformatics workflows

Use Cases

Automated drug discovery pipelines from target identification to virtual screening
Bioinformatics analysis including RNA-seq, pathway enrichment, and variant annotation
Structural biology tasks such as protein structure prediction and binding site detection