# kegg_api

> This module provides Python functions for interacting with the KEGG REST API. All functions return raw response text which can be parsed as needed.

- Source: https://doutorai.pt/en/components/skills__kegg-api
- Type: Skills
- Category: Scientific
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **skill** that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/kegg-api && curl -fsSL https://doutorai.pt/data/lib/skills__kegg-api.md -o .claude/skills/kegg-api/SKILL.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

```
"""
KEGG REST API Helper Functions

This module provides Python functions for interacting with the KEGG REST API.
All functions return raw response text which can be parsed as needed.

API Base URL: https://rest.kegg.jp
Documentation: https://www.kegg.jp/kegg/rest/keggapi.html

IMPORTANT: KEGG API is made available only for academic use by academic users.
"""

import urllib.request
import urllib.parse
import urllib.error
from typing import Optional, List, Union


KEGG_BASE_URL = "https://rest.kegg.jp"


def kegg_info(database: str) -> str:
    """
    Get database metadata and statistics.

   

- 🔒 Full content on the Pro plan (€7.99/month) -
```

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__kegg-api