# mcp-kegg

> mcp-kegg — pipeworx-io-mcp-kegg. Use this tool when you need to access and retrieve genomic information from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. It solves problems related to gene and genome analysis, providing inputs such as gene IDs and outputting relevant biological data. Ideal for use cases involving bioinformatics research, gene function analysis, and genomic data integration.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-kegg  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-kegg

## Description

KEGG REST MCP — Kyoto Encyclopedia of Genes and Genomes.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-kegg)

## 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": "pipeworx-io-mcp-kegg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-kegg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-kegg/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