# ViromeChat MCP server

> ViromeChat MCP server — romumrn-viromeatlas-mcp. Use this tool when you need to access and analyze virome datasets and bioinformatics resources through a unified interface, enabling AI clients to perform tasks such as data retrieval, analysis, and visualization without being tightly coupled to the underlying data and logic. It solves problems related to data integration, analysis, and visualization in bioinformatics and virome research. The tool accepts queries and requests from AI clients and returns results and visualizations through various APIs and interfaces.

Canonical page: https://skillsregistry.net/skills/romumrn-viromeatlas-mcp  
JSON: https://api.skillsregistry.net/v1/skills/romumrn-viromeatlas-mcp

## Description

Enables AI clients to access virome datasets and external bioinformatics APIs through MCP tools, including Wikipedia, PubMed, NCBI Taxonomy, read-only SQL over S3 Parquet, pandas/Plotly analyses, and map visualizations, while keeping the client decoupled from data and business logic.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x84866e0kc)
- **Repository:** <https://github.com/Romumrn/viromeatlas_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": "romumrn-viromeatlas-mcp"
    }
  }
}
```

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