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tianqitang1/enrichr-mcp-server

by Various

📇 ☁️ - A MCP server that provides gene set enrichment analysis using the Enrichr API

T

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_drugs
  • cell_types
  • gene_perturbations
  • protein_families
  • single_cell
  • protein_interactions
  • ENRICHR_LIBRARIES
  • ENRICHR_MAX_TERMS
  • ENRICHR_FORMAT
  • ENRICHR_OUTPUT_FILE
  • GO_Biological_Process_2025
  • KEGG_2021_Human
  • Reactome_2022
  • MSigDB_Hallmark_2020
  • ChEA_2022
  • GWAS_Catalog_2023
  • Human_Phenotype_Ontology
  • STRING_Interactions_2023
  • DrugBank_2022
  • CellMarker_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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