ToolUniverse Claude Extension: Complete Guide for Scientific Research

The ToolUniverse Claude extension gives Claude access to a library of 600+ vetted scientific tools to explore large hypothesis spaces, compare competing hypotheses, and iterate through fast-to-slow cycles of analysis. This article explains how to set up and use the ToolUniverse integration with Claude.

The ToolUniverse integration is available as a desktop extension in the Claude Desktop App and relies on Claude’s ability to use local connectors. It is open source under the Apache License 2.0.

This tutorial covers what ToolUniverse is, which datasets and services it connects to, who it is for, how to set it up for individual users and organisations, five example use cases with sample prompts and workflows, and where to find documentation and community resources.

Quick TL;DR Summary

• What it is: An MCP-based desktop extension that gives Claude access to 600+ vetted scientific tools across biological databases, chemical databases, literature sources, genomic data, and AI models for scientific research.
• Who it is for: Research scientists, pharmaceutical and biotech companies, healthcare organisations, data scientists and ML engineers, and government and regulatory agencies.
• How to install (individual): Download the Claude Desktop App, go to Settings > Extensions, click Browse extensions, find ToolUniverse, and click Install.
• How to install (Claude Code): Run /plugin marketplace add anthropics/life-sciences, then /plugin install tool-universe@life-sciences, restart Claude Code, and verify with /mcp.
• Five use case areas: Drug discovery and therapeutic development, human genetics and genomic research, literature and multimodal evidence synthesis, chemical and molecular analysis, and scientific discovery automation.
• Open source: ToolUniverse is open source under the Apache License 2.0. Source code is on GitHub with 797+ stars. Documentation at the ToolUniverse Documentation site.

About the ToolUniverse Integration

ToolUniverse is an ecosystem for building AI scientists and AI agents for science that work with researchers to generate hypotheses, turn them into executable research plans, run scientific tools, and continually update analyses.

It targets research at scale to reimagine scientific discovery: AI scientists explore large hypothesis spaces, compare competing hypotheses, and iterate through fast-to-slow cycles of analysis, rather than producing one-off summaries. This is the distinction that makes the ToolUniverse Claude extension different from standard AI-assisted research. It is designed for systematic, multi-step investigation, not single-query answers.

ToolUniverse standardises tool use. It lets AI scientists discover and execute tools via local Python functions and remote services served through MCP. This design makes every step inspectable: AI scientists compose end-to-end workflows that connect datasets, models, and analysis pipelines, and record inputs and outputs before they choose the next action.

In human-AI collaboration, ToolUniverse supports a continuous loop of hypothesis generation, information-seeking tool calls, execution of research objectives, and refinement of internal models as new experimental data arrive and insights are generated.

Datasets and Services Available

ToolUniverse provides access to a comprehensive ecosystem of scientific resources across six categories. Note: ToolUniverse provides access to third-party scientific databases and services. All copyrights and intellectual property rights for the data, content, and services listed below belong to their respective sources and owners. 

Biological Databases and Foundation Models

• UniProt complete protein knowledge database
• Ensembl genomic data and annotations
• RCSB PDB protein structure database
• ChEMBL bioactive molecules and drug discovery database
• NCBI databases GenBank, RefSeq, SNP database
• Gene Ontology biological process, function, and location annotations
• ESM protein language models
• Transcript: Former single-cell foundation models

Chemical and Drug Databases

• PubChem  chemical structures and biological activities
• DrugBank drug and drug target database
• FDA databases drug approval, prescribing information, adverse events, drug indications, contraindications, and interactions
• ClinicalTrials.gov  clinical trial information

Literature and Knowledge Bases

•  PubMed biomedical literature database
•  Semantic Scholar  AI-powered literature analysis
•  Europe PMC open access biomedical literature
• OpenAlex comprehensive scholarly works database
• Crossref  DOI registration and metadata
• OpenTargets insights for systematic drug target selection

Genomic and Health Data

• GTEx  tissue-specific gene expression
• GWAS Catalog: genome-wide association studies
• ClinVar  genetic variation and disease relationships
• OMIM Online Mendelian Inheritance in Man
• TCGA cancer genomics data

Research Tools and APIs

• STRING  protein-protein interaction networks
• KEGG pathway and disease information
• Reactome biological pathway database
• InterPro  protein families and domains

AI Models, Foundation Models, and Visualisation Tools

• AlphaFold  protein structure prediction
•  BLAST sequence similarity searching
•  ADMET-AI  drug property prediction models
• ChemTools  chemical informatics utilities
• Visualisation tools, molecular and data visualisation

Who Should Use the ToolUniverse Integration

The ToolUniverse Claude extension is built for professionals working at the intersection of AI and scientific research. Five primary user groups are identified:

• Research Scientists and Academics accelerate hypothesis generation, automate literature reviews, perform complex multi-database analyses, and scale research capabilities to emerging experimental and AI-human collaboration platforms.
• Pharmaceutical and Biotech Companies streamline drug development pipelines, enhance target identification, improve compound design and optimisation, enable virtual drug screening, and accelerate report generation, target assessment, de-risking, and validation.
• Healthcare Organisations power precision medicine initiatives, support clinical trial design and optimisation with patient selection, facilitate pharmacogenomics research, improve patient stratification strategies, and extract prognostic and predictive biomarkers from multimodal healthcare datasets.
• Data Scientists, ML Engineers, Platform and Infrastructure Engineers access domain-specific tools without custom development, rapid prototyping of AI agents for science, and integration of scientific data into ML workflows.
• Government and Regulatory Agencies enhanced regulatory decision-making, improved adverse event analysis, accelerated drug approval processes, and implemented comprehensive safety monitoring.

Setting Up the ToolUniverse Integration

For Organisation Owners, Team, and Enterprise

If your organisation uses the Desktop Extension Allowlist (which restricts which extensions users can access):

1.     Navigate to Admin settings > Connectors

2.     Click the “Desktop” tab at the top

3.     Confirm that “Allowlist” is toggled on

4.     Click the “Browse” button

5.     In the search field, type ToolUniverse

6.     Click on ToolUniverse

7.     Click “Add to your team.”

8.     Instruct your team to download the Claude Desktop App to access the integration using the individual user instructions below

If your organisation does not use the Desktop Extension Allowlist:

9.     Navigate to Admin settings > Connectors

10. Click the “Desktop” tab at the top

11. Confirm that “Allowlist” is toggled off

If the Allowlist is toggled off, all users in your organisation will already be able to access the Desktop Extension directory using the individual user instructions below.

For Individual Claude Users

12. Download the Claude Desktop App from claude.ai/download

13. In the Claude Desktop App, navigate to Settings > Extensions

14. Click “Browse extensions.”

15. Click “ToolUnivers.e.”

16. Click “Insta.ll.”

For Claude Code Users

/plugin marketplace add anthropics/life-sciences

/plugin install tool-universe@life-sciences

Restart Claude Code, then verify that the server is connected:

/mcp

Example Use Cases

Here are five documented workflows demonstrating how the ToolUniverse Claude extension handles real scientific research tasks, each with a sample prompt and the sequence of tool calls that Claude executes:

1. Drug Discovery and Therapeutic Development

Therapeutic discovery and target-to-candidate workflows

Sample Prompt: Identify targets for hypercholesterolemia; prioritize one using evidence from OpenTargets and the literature; then screen known drugs and close analogs; and rank candidates by predicted binding and ADMET trade-offs. Provide intermediate evidence and a final shortlist.

Workflow ToolUniverse-powered AI scientists:

•        Query disease-target associations using the OpenTargets API

•        Retrieve protein structures from RCSB PDB

•        Analyse molecular interactions with ChEMBL compound data

•        Predict binding affinities using integrated ML models

•        Generate research hypotheses for therapeutic development

2. Human Genetics and Genomic Research

Human genetics to the mechanism  variant-to-gene-to-pathway

Sample Prompt: From GWAS hits for type 2 diabetes, map variants to candidate genes, summarize functional annotations and tissue expression, and return enriched pathways with supporting references and links to primary sources.

Workflow ToolUniverse-powered AI scientists:

•        Search GWAS catalog for disease-associated genetic variants

•        Map SNPs to genes using Ensembl and NCBI databases

•        Retrieve functional annotations from Gene Ontology

•        Analyse tissue-specific expression using GTEx data

•        Identify biological pathways using KEGG and Reactome

3. Literature and Multimodal Evidence Synthesis

Sample Prompt: Search PubMed and Europe PMC for recent CRISPR off-target detection methods, extract key experimental settings and reported failure modes, and produce a structured comparison table with citations.

Workflow  ToolUniverse-powered AI scientists:

•        Multi-database literature searches across PubMed, Europe PMC, and bioRxiv

•        Automated paper summarisation and key finding extraction

•        Citation network analysis using Semantic Scholar

•        Trend identification through temporal analysis

•        Cross-referencing with clinical trial data from ClinicalTrials.gov

4. Chemical and Molecular Analysis

Sample Prompt: Using ToolUniverse’s OpenFDA and ADMET-AI tools, analyze the molecular properties of FDA-approved drugs for hypertension, predict their ADMET profiles, and identify potential side effect patterns.

Workflow  ToolUniverse-powered AI scientists:

•        Query FDA drug databases for approved medications

•        Calculate molecular descriptors and properties

•        Predict pharmacokinetic profiles using ADMET-AI models

•        Analyse structure-activity relationships

•        Identify potential drug repurposing opportunities

5. Scientific Discovery and Automation for Multi-Tool Studies

Sample Prompt: Build a reusable workflow that runs multiple literature searches in parallel, consolidates results, and produces a reproducible report. Return the workflow as a composed tool with clear inputs and outputs. Using ToolUniverse’s UniProt, PRIDE, and KEGG pathway tools, design a complete proteomics workflow: from protein identification using mass spectrometry data to functional analysis and pathway mapping.

Workflow  ToolUniverse-powered AI scientists:

•        Integrate multimodal proteomics databases UniProt and PRIDE

•        Automate data processing and quality control of proteomics readouts

•        Annotate protein functions and perform pathway analysis

•        Complete statistical analyses and generate interactive visualisations

•        Generate reports with summaries

Demos and Documentation

ToolUniverse provides multiple resources for getting started and going deeper:

Live Demonstrations

• Interactive Web Platform: AIScientist.Tools live tool discovery and execution interface for exploring 700+ scientific tools without installation.
• Video Demonstrations: Available on YouTube show the integration in action with real scientific workflows.
• GitHub Repository: ToolUniverse on GitHub at mims-harvard/ToolUniverse, complete source code, documentation, and community with 797+ stars.

Documentation and Tutorials

Full documentation is available at the ToolUniverse Documentation site, covering installation, usage, and advanced features. This includes a quick-start tutorial for 5-minute setup and immediate experimentation with scientific tools, and guides for integration with large language models, AI agents, and reasoning models.

Community Resources

• Slack Community: Join the ToolUniverse HQ Slack for peer support and collaboration with other researchers and developers using the platform.
• GitHub Issues: Report bugs and request features at the ToolUniverse GitHub repository.

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Conclusion

In conclusion, the ToolUniverse Claude extension transforms Claude from a general-purpose AI assistant into a capable AI scientist with direct access to 600+ vetted scientific tools across every major biological, chemical, and genomic database. For researchers, this means moving from single-query answers to systematic multi-step investigation, hypothesis generation, tool execution, and continuous analysis updates in a single connected workflow.

The integration is open source, available in the Claude Desktop App with a five-step install, and ready for Claude Code users with three terminal commands. Five documented use case areas, drug discovery, genomic research, literature synthesis, chemical analysis, and multi-tool scientific automation, show the range of what becomes possible once the extension is connected.

Install the Claude Desktop App, add the ToolUniverse extension, and start with any of the sample prompts in this guide to see what systematic AI-powered scientific research looks like in practice.

FAQs

1. What is the ToolUniverse Claude extension?

ToolUniverse is an MCP-based desktop extension that gives Claude access to 600+ vetted scientific tools across biological databases, chemical databases, literature sources, genomic data, and AI models. It allows Claude to compose end-to-end research workflows, generating hypotheses, running scientific tools, and updating analyses continuously rather than producing one-off summaries.

2. How do I install the ToolUniverse extension in Claude?

Download the Claude Desktop App from claude.ai/download. Open it, navigate to Settings > Extensions, click Browse extensions, find ToolUniverse, and click Install. For Claude Code, run /plugin marketplace add anthropics/life-sciences, then /plugin install tool-universe@life-sciences, restart Claude Code, and verify the connection with /mcp.

3. Is ToolUniverse free to use?

Yes. ToolUniverse is open source under the Apache License 2.0, allowing free access to all features. The source code is available on GitHub at mims-harvard/ToolUniverse. You do need a Claude account and the Claude Desktop App to use the integration with Claude.

4. Which scientific databases does ToolUniverse connect to?

ToolUniverse connects to over 700 resources, including UniProt, Ensembl, RCSB PDB, ChEMBL, NCBI (GenBank, RefSeq, SNP), PubChem, DrugBank, FDA databases, ClinicalTrials.gov, PubMed, Semantic Scholar, Europe PMC, GTEx, GWAS Catalog, ClinVar, TCGA, STRING, KEGG, Reactome, AlphaFold, BLAST, and ADMET-AI, among others.

5. What types of research can ToolUniverse support in Claude?

ToolUniverse supports five documented research areas: drug discovery and therapeutic development, human genetics and genomic research, literature and multimodal evidence synthesis, chemical and molecular analysis, and scientific discovery automation for multi-tool studies. It covers bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery.