tooluniverse

ToolUniverse

Overview

ToolUniverse is a unified ecosystem that enables AI agents to function as research scientists by providing standardized access to 600+ scientific resources. Use this skill to discover, execute, and compose scientific tools across multiple research domains including bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery.

Key Capabilities:

• Access 600+ scientific tools, models, datasets, and APIs
• Discover tools using natural language, semantic search, or keywords
• Execute tools through standardized AI-Tool Interaction Protocol
• Compose multi-step workflows for complex research problems
• Integration with Claude Desktop/Code via Model Context Protocol (MCP)

When to Use This Skill

Use this skill when:

• Searching for scientific tools by function or domain (e.g., "find protein structure prediction tools")
• Executing computational biology workflows (e.g., disease target identification, drug discovery, genomics analysis)
• Accessing scientific databases (OpenTargets, PubChem, UniProt, PDB, ChEMBL, KEGG, etc.)
• Composing multi-step research pipelines (e.g., target discovery → structure prediction → virtual screening)
• Working with bioinformatics, cheminformatics, or structural biology tasks
• Analyzing gene expression, protein sequences, molecular structures, or clinical data
• Performing literature searches, pathway enrichment, or variant annotation
• Building automated scientific research workflows

Quick Start

Basic Setup

from tooluniverse import ToolUniverse

# Initialize and load tools
tu = ToolUniverse()
tu.load_tools()  # Loads 600+ scientific tools

# Discover tools
tools = tu.run({
    "name": "Tool_Finder_Keyword",
    "arguments": {
        "description": "disease target associations",
        "limit": 10
    }
})

# Execute a tool
result = tu.run({
    "name": "OpenTargets_get_associated_targets_by_disease_efoId",
    "arguments": {"efoId": "EFO_0000537"}  # Hypertension
})