Enrichr

Provides multi-library Enrichr analyses via an MCP server with configurable libraries and GO enrichment.

typescript

GitHub Stars

typescript

Language

4 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "tianqitang1-enrichr-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "enrichr-mcp-server"
      ],
      "env": {
        "ENRICHR_FORMAT": "detailed",
        "ENRICHR_LIBRARIES": "GO_Biological_Process_2025,KEGG_2021_Human",
        "ENRICHR_MAX_TERMS": "50",
        "ENRICHR_OUTPUT_FILE": "/tmp/enrichr_results.tsv"
      }
    }
  }
}

You run an MCP (Model Context Protocol) server that connects to Enrichr to perform gene set enrichment analysis. It lets you query many Enrichr libraries at once and returns only statistically significant results, making it easier for client tools and large language models to interpret results efficiently.

How to use

You add this server to your MCP client configuration so your tools can request enrichment analysis from Enrichr through a single, reusable endpoint. You can ask for multiple libraries at once, specify how many terms to show, and choose the output format to suit your workflow. When you call the two main tools, you supply your gene list and optionally the libraries to analyze. The server handles the Enrichr API calls and returns structured results that include terms, statistics, and overlapping genes.

How to install

Prerequisites: install Node.js 18 or newer and have an internet connection to access the Enrichr API.

Install and run the MCP server locally using a standard Node.js toolchain. The server is designed to be started via a package runner such as npm/npx.

Configuration and usage details

Configuration options allow you to control which Enrichr libraries are available to the client and how many terms are returned per library. You can set a default library set or override libraries per tool call.

Two main tools are exposed by the server. Use enrichr_analysis for multi-library queries and go_bp_enrichment for targeted GO Biological Process enrichment.

Environment and command options

Environment variables let you set default libraries, term limits, and output format. CLI arguments offer flexible control per run.

Tools and endpoints

enrichr_analysis performs enrichment across multiple libraries. go_bp_enrichment focuses on GO Biological Process terms for your gene list.

Examples of common configurations

The following configuration shows a basic setup where the MCP client uses npx to run enrichr-mcp-server with default settings.

Available tools

enrichr_analysis

Performs enrichment analysis across multiple specified Enrichr libraries and returns detailed results per library.

go_bp_enrichment

Performs Gene Ontology Biological Process enrichment analysis to identify overrepresented biological functions.

Built by

VeilStrat

AI signals for GTM teams