Enrichr
An MCP server that lets LLM tools run gene set enrichment analysis through the Enrichr API, discover relevant gene libraries, apply custom backgrounds, and ret…
What it does
The specific capability behind this listing, and where to get it.
Enrichr
An MCP server that lets LLM tools run gene set enrichment analysis through the Enrichr API, discover relevant gene libraries, apply custom backgrounds, and ret…
Agentery has not yet captured structured capability detail for this provider.
Official Enrichr links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Enrichr good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable Bioinformatics Pipeline Agent
Alternatives in the same niche, with observed price and liveness where available.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "enrichr_mcp_server",
"name": "Enrichr",
"url": "https://github.com/tianqitang1/enrichr-mcp-server",
"logo": "https://github.com/tianqitang1.png?size=200",
"niche": "bioinformatics-pipeline-agent",
"category": "research-knowledge-work",
"short_summary": "An MCP server that lets LLM tools run gene set enrichment analysis through the Enrichr API, discover relevant gene libraries, apply custom backgrounds, and ret…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-27T04:17:26.045Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/tianqitang1/enrichr-mcp-server"
],
"last_checked": null,
"how_to_connect": {
"website": "https://github.com/tianqitang1/enrichr-mcp-server",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 846,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:33:27.817Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}