What scientific domains does ToolUniverse support?

ToolUniverse covers a wide range of domains including bioinformatics, cheminformatics, genomics, structural biology, proteomics, drug discovery, and clinical data analysis.

How do I find the right tool for my research task?

The skill provides three discovery methods: embedding-based semantic search (Tool_Finder), LLM-based search (Tool_Finder_LLM), and fast keyword search (Tool_Finder_Keyword).

Is it possible to chain multiple scientific tools together?

Yes, ToolUniverse supports tool composition, allowing you to build multi-step pipelines where the output of one scientific tool serves as the input for another.

Can I use this with Claude Desktop?

Yes, ToolUniverse is designed to integrate with both Claude Desktop and Claude Code using the Model Context Protocol (MCP).

ToolUniverse Scientific Research

Name: ToolUniverse Scientific Research
Author: ricable

byricable

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데이터 과학 및 ML

Empowers AI agents to perform complex scientific research tasks using a unified ecosystem of 600+ specialized tools and databases.

소개

ToolUniverse is a comprehensive scientific research skill that transforms Claude into a specialized agent for computational biology, cheminformatics, and drug discovery. It provides standardized access to over 600 tools, including AlphaFold, OpenTargets, and RDKit, allowing users to discover relevant resources, execute complex workflows, and integrate high-level scientific data directly into their AI-driven research pipelines. Whether you are predicting protein structures, identifying disease targets, or performing virtual screening, ToolUniverse offers a unified interface for sophisticated scientific discovery and data analysis.

주요 기능

1 GitHub stars
Advanced tool discovery using natural language and semantic search
Access to 600+ scientific tools, APIs, and datasets across multiple research domains
Standardized execution of bioinformatics and cheminformatics workflows
Support for multi-step pipeline composition for drug discovery and genomics
Seamless integration with Claude via Model Context Protocol (MCP)

사용 사례

Performing deep bioinformatics analysis including gene expression and pathway enrichment
Automating drug discovery pipelines from target identification to virtual screening
Accessing and querying major scientific databases like PubChem, UniProt, and ChEMBL

소개

주요 기능

1 GitHub stars
Advanced tool discovery using natural language and semantic search
Access to 600+ scientific tools, APIs, and datasets across multiple research domains
Standardized execution of bioinformatics and cheminformatics workflows
Support for multi-step pipeline composition for drug discovery and genomics
Seamless integration with Claude via Model Context Protocol (MCP)

사용 사례

Performing deep bioinformatics analysis including gene expression and pathway enrichment
Automating drug discovery pipelines from target identification to virtual screening
Accessing and querying major scientific databases like PubChem, UniProt, and ChEMBL