tianqitang1/enrichr-mcp-server
by Various
📇 ☁️ - A MCP server that provides gene set enrichment analysis using the Enrichr API
MCP
tianqitang1/enrichr-mcp-server
Added 1 June 2026
Overview
A Model Context Protocol server that wraps the Enrichr API for gene set enrichment analysis. It accepts gene lists and returns enrichment results from Enrichr's curated gene set libraries.
Best for
Best for
Bioinformaticians and researchers who want to add gene set enrichment analysis to AI-driven data analysis pipelines
Use cases
- Run enrichment analysis on a list of differentially expressed genes
- Integrate gene set enrichment into an AI-assisted bioinformatics workflow
- Automate enrichment queries from a command line or MCP client
How to use
Install
npx -y @smithery/cli install enrichr-mcp-server --client claude Tools exposed
diseases_drugscell_typesgene_perturbationsprotein_familiessingle_cellprotein_interactionsENRICHR_LIBRARIESENRICHR_MAX_TERMSENRICHR_FORMATENRICHR_OUTPUT_FILEGO_Biological_Process_2025KEGG_2021_HumanReactome_2022MSigDB_Hallmark_2020ChEA_2022GWAS_Catalog_2023Human_Phenotype_OntologySTRING_Interactions_2023DrugBank_2022CellMarker_2024
Tested with
Claude Desktop, Claude Code, Cursor, VS Code
Notes
A Model Context Protocol server that wraps the Enrichr API for gene set enrichment analysis. It accepts gene lists and returns enrichment results from Enrichr’s curated gene set libraries.
14 stars on GitHub. Last updated 2026-04-07.
Use cases
- Run enrichment analysis on a list of differentially expressed genes
- Integrate gene set enrichment into an AI-assisted bioinformatics workflow
- Automate enrichment queries from a command line or MCP client
Pros
- Leverages the well-established Enrichr API for reliable enrichment results
- Simple MCP interface makes it easy to plug into AI agents and tools
- Written in TypeScript for type safety and easy integration
Cons
- Depends on an external API, so offline use is not possible
- Limited to the gene set libraries and methods provided by Enrichr
- Small community (14 stars) may mean slower updates or support
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Leverages the well-established Enrichr API for reliable enrichment results
- Simple MCP interface makes it easy to plug into AI agents and tools
- Written in TypeScript for type safety and easy integration
Cons
- Depends on an external API, so offline use is not possible
- Limited to the gene set libraries and methods provided by Enrichr
- Small community (14 stars) may mean slower updates or support
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