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1 month ago
glama

Enrichr MCP Server

Enables gene set enrichment analysis using the Enrichr API across hundreds of gene set libraries including Gene Ontology, pathways, diseases, tissues, drugs, and transcription factors. Returns only statistically significant results for interpretation.

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// key findings
⚠️
Tool annotations don’t match behaviour
1 read-only tool performs write/delete/exec — enrichr_analysis (line 429: writeFileSync(filename, lines.join("\n") + "\n"))
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configENRICHR_FORMATOutput format compact
configENRICHR_LIBRARIESComma-separated list of libraries GO_Biological_Process_2025,KEGG_2021_Human
configENRICHR_MAX_TERMSMaximum terms per library 20
configENRICHR_OUTPUT_FILETSV output file path /tmp/enrichr_results.tsv
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/tianqitang1-enrichr-mcp-server-19m05s)](https://m8ven.ai/mcp/tianqitang1-enrichr-mcp-server-19m05s)
commit: 2818f538fe4bb735b96b24cc36f37c3d13a6f029
code hash: 6aebd5037699aa15694fdf8b653636bbcaca8a83c7cbd5c33a0eb58f17e53821
verified: 6/18/2026, 10:39:41 AM
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