# SCMCP

> Use this tool when you need to analyze single-cell RNA sequencing data through natural language inputs, enabling streamlined data preprocessing, clustering, and biological visualization. It solves problems in scRNA-Seq analysis by providing a user-friendly interface for executing predefined functions and flexible code modes. The tool accepts natural language queries and code inputs, outputting visualized biological results, and is ideal for researchers and analysts working with single-cell transcriptomics data.

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

## Description

An MCP server that enables scRNA-Seq analysis through natural language, providing tools for data preprocessing, clustering, and biological visualization. It supports both predefined function execution and a flexible code mode powered by a Jupyter backend for automated single-cell transcriptomics workflows.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g8dvfprds5)
- **Repository:** <https://github.com/scmcphub/scmcp>

## 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-scmcp"
    }
  }
}
```

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