
Bio Research
PluginFor preclinical life sciences research: bundles MCP connectors for PubMed, bioRxiv, ChEMBL, Open Targets, ClinicalTrials and more, plus analysis skills for single-cell RNA QC, scvi-tools and nf-core pipelines. Official from Anthropic; some data sources need accounts.
Bio-Research Plugin
Connect to preclinical research tools and databases (literature search, genomics analysis, target prioritization) to accelerate early-stage life sciences R&D. Use with Cowork or install directly in Claude Code.
This plugin consolidates 11 MCP server integrations and 5 analysis skills into a single package for life science researchers.
What's Included
MCP Servers (Data Sources & Tools)
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
| Provider | What It Does | Category/Placeholder |
|---|---|---|
| U.S. National Library of Medicine | Search biomedical literature and research articles | ~~literature |
| deepsense.ai | Access preprints from bioRxiv and medRxiv | ~~literature |
| Consensus | AI-powered search and synthesis of peer-reviewed research | ~~literature |
| John Wiley & Sons | Access academic research and publications | ~~journal access |
| Sage Bionetworks | Collaborative research data management | ~~data repository |
| deepsense.ai | Bioactive drug-like compound database | ~~chemical database |
| OpenTargets | Drug target discovery and prioritization | ~~drug targets |
| deepsense.ai | NIH/NLM clinical trial registry | ~~clinical trials |
| BioRender | Scientific illustration creation | ~~scientific illustration |
| Owkin | AI for biology — histopathology and drug discovery | ~~AI research |
| Benchling* | Lab data management platform | ~~lab platform |
Optional Binary MCP Servers
These require a separate binary download:
- 10X Genomics txg-mcp (
~~genomics platform) — Cloud analysis data and workflows (GitHub) - ToolUniverse (
~~tool database) — AI tools for scientific discovery from Harvard MIMS (GitHub)
Skills (Analysis Workflows)
Single-Cell RNA QC
Automated quality control for scRNA-seq data following scverse best practices. Supports .h5ad and .h5 files with MAD-based filtering and comprehensive visualizations.
scvi-tools
Deep learning toolkit for single-cell omics. Covers scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, and sysVI models for integration, batch correction, label transfer, and multi-modal analysis.
Nextflow Pipelines
Run nf-core bioinformatics pipelines on local or public GEO/SRA sequencing data:
- rnaseq — Gene expression and differential expression
- sarek — Germline and somatic variant calling (WGS/WES)
- atacseq — Chromatin accessibility analysis
Instrument Data to Allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) format. Supports 40+ instrument types including cell counters, spectrophotometers, plate readers, qPCR, and chromatography systems.
Scientific Problem Selection
Systematic framework for research problem selection based on Fischbach & Walsh's framework. Includes 9 skills covering ideation, risk assessment, optimization, decision trees, adversity planning, and synthesis.
Getting Started
# Install the plugin
/install anthropics/knowledge-work-plugins bio-research
# Run the start command to see available tools
/start
Common Workflows
Literature Review Search ~~literature database for papers, access full-text through ~~journal access, and create figures with ~~scientific illustration.
Single-Cell Analysis Run QC on scRNA-seq data, then use scvi-tools for integration, batch correction, and cell type annotation.
Sequencing Pipeline Download public data from GEO/SRA, run nf-core pipelines (RNA-seq, variant calling, ATAC-seq), and verify outputs.
Drug Discovery Search ~~chemical database for bioactive compounds, use ~~drug target database for target prioritization, and review clinical trial data.
Research Strategy Pitch a new idea, troubleshoot a stuck project, or evaluate strategic decisions using the scientific problem selection framework.
License
Skills are licensed under Apache 2.0. MCP servers are provided by their respective authors — see individual server documentation for terms.
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