{ "name": "life-sciences", "owner": { "name": "Anthropic", "email": "support@anthropic.com" }, "metadata": { "version": "1.0.0", "description": "MCP servers and skills for life sciences research, data analysis, and discovery" }, "plugins": [ { "name": "10x-genomics", "source": "./10x-genomics", "description": "10x Genomics Cloud MCP server for accessing analysis data and workflows", "category": "life-sciences", "tags": ["genomics", "bioinformatics", "analysis"] }, { "name": "pubmed", "source": "./pubmed", "description": "PubMed MCP server for searching biomedical literature and research articles", "category": "life-sciences", "tags": ["research", "literature", "biomedical"] }, { "name": "biorender", "source": "./biorender", "description": "BioRender MCP server for creating and accessing scientific illustrations", "category": "life-sciences", "tags": ["visualization", "diagrams", "illustrations"] }, { "name": "synapse", "source": "./synapse", "description": "Synapse.org MCP server by Sage Bionetworks for collaborative research data management", "category": "life-sciences", "tags": ["research", "data-management", "collaboration"] }, { "name": "wiley-scholar-gateway", "source": "./wiley-scholar-gateway", "description": "Scholar Gateway MCP server by Wiley for accessing academic research and publications", "category": "life-sciences", "tags": ["research", "academic", "publications"] }, { "name": "biorxiv", "source": "./biorxiv", "description": "Access to bioRxiv and medRxiv preprint data", "category": "life-sciences", "tags": ["research", "preprints", "biology", "medical"] }, { "name": "clinical-trials", "source": "./clinical-trials", "description": "Access ClinicalTrials.gov data", "category": "life-sciences", "tags": ["clinical-trials", "research", "medical", "fda"] }, { "name": "chembl", "source": "./chembl", "description": "Access to the ChEMBL Database", "category": "life-sciences", "tags": ["drug-discovery", "chemistry", "bioactive-molecules", "bioactivity"] }, { "name": "owkin", "source": "./owkin", "description": "Interact with AI agents built for biology", "category": "life-sciences", "tags": ["ai", "drug-discovery", "precision-medicine", "histopathology"] }, { "name": "open-targets", "source": "./open-targets", "description": "Drug target discovery and prioritisation platform", "category": "life-sciences", "tags": ["drug-targets", "genomics", "research", "therapeutics"] }, { "name": "single-cell-rna-qc", "source": "./", "description": "Quality control for single-cell RNA-seq data following scverse best practices", "category": "life-sciences", "tags": ["bioinformatics", "genomics", "single-cell", "quality-control", "qc"], "strict": false, "skills": [ "./single-cell-rna-qc" ] }, { "name": "instrument-data-to-allotrope", "source": "./", "description": "Convert instrument data to Allotrope Simple Model (ASM) format", "category": "life-sciences", "tags": ["data-conversion", "allotrope", "instruments", "standardization"], "strict": false, "skills": [ "./instrument-data-to-allotrope" ] }, { "name": "nextflow-development", "source": "./", "description": "Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on local or public GEO/SRA sequencing data", "category": "life-sciences", "tags": ["bioinformatics", "nextflow", "pipelines", "rna-seq", "variant-calling", "atac-seq", "genomics"], "strict": false, "skills": [ "./nextflow-development" ] }, { "name": "scvi-tools", "source": "./", "description": "Deep learning toolkit for single-cell omics analysis using scvi-tools", "category": "life-sciences", "tags": ["bioinformatics", "single-cell", "deep-learning", "scvi-tools", "integration"], "strict": false, "skills": [ "./scvi-tools" ] }, { "name": "clinical-trial-protocol", "source": "./", "description": "Generate FDA/NIH-compliant clinical trial protocols for medical devices or drugs", "category": "life-sciences", "tags": ["clinical-trials", "fda", "protocol", "regulatory"], "strict": false, "skills": [ "./clinical-trial-protocol-skill" ] }, { "name": "scientific-problem-selection", "source": "./", "description": "Systematic framework for scientific problem selection and strategic research decisions based on Fischbach & Walsh methodology", "category": "life-sciences", "tags": ["research-strategy", "problem-selection", "scientific-method", "project-planning"], "strict": false, "skills": [ "./scientific-problem-selection" ] }, { "name": "tooluniverse", "source": "./tooluniverse", "description": "Democratizing AI scientists with ToolUniverse - AI agents and tools for scientific discovery and automation", "category": "life-sciences", "tags": ["ai-agents", "science", "tool-use", "reasoning", "automation"] }, { "name": "medidata", "source": "./medidata", "description": "Medidata's MCP Connector for Claude with Platform Help and Predictive Site Ranking for clinical trials", "category": "life-sciences", "tags": ["clinical-trials", "site-ranking", "trial-planning", "medidata"] }, { "name": "consensus", "source": "./consensus", "description": "Consensus MCP server for AI-powered search across peer-reviewed scientific research papers", "category": "life-sciences", "tags": ["research", "literature", "academic", "evidence-synthesis"] }, { "name": "cortellis", "source": "./cortellis", "description": "Cortellis Regulatory Intelligence MCP server by Clarivate for global drug regulatory data and intelligence", "category": "life-sciences", "tags": ["regulatory", "drug-development", "intelligence", "compliance"] }, { "name": "adisinsight", "source": "./adisinsight", "description": "AdisInsight MCP server by Springer Nature for drug development pipeline, clinical trials, and deals intelligence", "category": "life-sciences", "tags": ["drug-development", "pipeline", "clinical-trials", "deals"] } ] }