# SCMCP

> Use this tool when you need to analyze single-cell RNA sequencing data without coding expertise. The SCMCP enables data processing, visualization, and analysis through natural language input, simplifying tasks such as identifying cell types and understanding gene expression. It provides an intuitive interface for biologists to explore and visualize their data, making it an ideal solution for researchers who want to focus on insights rather than coding.

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

## Description

An MCP server that enables single-cell RNA sequencing analysis through natural language, supporting data processing, visualization, and analysis tasks without requiring coding knowledge.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hqyo2icqci)
- **Repository:** <https://github.com/huang-sh/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": "huang-sh-scmcp"
    }
  }
}
```

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

---
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