# hgnc-link

> Use this tool when you need to resolve ambiguous gene symbols or IDs to standardized identifiers, or perform batch operations on gene datasets. It solves problems of inconsistent gene nomenclature by grounding data in the authoritative HUGO Gene Nomenclature Committee (HGNC) dataset. The tool accepts gene symbols or IDs as input and returns canonical HGNC identifiers and cross-references as output.

Canonical page: https://skillsregistry.net/skills/berntpopp-hgnc-link  
JSON: https://api.skillsregistry.net/v1/skills/berntpopp-hgnc-link

## Description

Grounds gene-nomenclature work in the HUGO Gene Nomenclature Committee (HGNC) dataset, enabling resolution of gene symbols and IDs to canonical HGNC identifiers, plus cross-references and batch operations.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vxf3it78pi)
- **Repository:** <https://github.com/berntpopp/hgnc-link>

## 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": "berntpopp-hgnc-link"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/berntpopp-hgnc-link` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/berntpopp-hgnc-link/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