41
grade D
13 days ago
glama
cellrank-mcp
Enables natural language interaction for scRNA-Seq analysis including preprocessing, clustering, and visualization using the CellRank library. It allows users and agents to perform complex genomic data tasks through standard MCP clients and frameworks.
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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
// 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 2 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
[](https://m8ven.ai/mcp/scmcphub-cellrank-mcp-1ucxyg)commit: 484531ca20de45dcb5565d800202326e724c1e5a
code hash: 4370b39336ad697126e7a31c0c6e7c0e24f4696bed60102ab3af8c05e09adb7a
verified: 4/11/2026, 3:27:16 PM