# Bio_MCP

> Bio_MCP — ricancong-bio-mcp. Use this tool when you need to visualize gene expression or other biological data to identify significant changes or patterns. Bio_MCP generates volcano plots from input files and parameters, supporting both local and Docker execution. It solves problems in data analysis and visualization, taking in input files and parameters and outputting informative volcano plots.

Canonical page: https://skillsregistry.net/skills/ricancong-bio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ricancong-bio-mcp

## Description

Enables users to generate volcano plots by submitting jobs with input files and parameters, supporting local or Docker execution.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wv2jyz9dgt)
- **Repository:** <https://github.com/ricancong/Bio_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": "ricancong-bio-mcp"
    }
  }
}
```

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