# biomarker-mcp

> Use this tool when you need to query cell type markers using natural language, solving problems in cell biology research and analysis by providing easy access to CellMarker database information. It takes natural language inputs and returns relevant cell type markers, enabling efficient searching and discovery of specific markers. This tool is ideal for researchers and scientists who require quick and intuitive access to cell marker data.

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

## Description

Enables querying celltype markers from CellMarker database using natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xum8g8pmu5)
- **Repository:** <https://github.com/scmcphub/biomarker-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-biomarker-mcp"
    }
  }
}
```

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