# cellrank-mcp

> Use this tool when you need to analyze single-cell RNA sequencing data using natural language commands, enabling effortless preprocessing, clustering, and visualization of genomic data through standard MCP clients and frameworks. It solves problems related to complex scRNA-Seq analysis, providing an intuitive interface for users and agents to input commands and receive insightful outputs. Ideal for bioinformaticians and researchers seeking to streamline their workflows and gain deeper insights into cellular biology.

Canonical page: https://skillsregistry.net/skills/scmcphub-cellrank-mcp  
JSON: https://api.skillsregistry.net/v1/skills/scmcphub-cellrank-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iaa663p8w2)
- **Repository:** <https://github.com/scmcphub/cellrank-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "scmcphub-cellrank-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scmcphub-cellrank-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scmcphub-cellrank-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt