Kegg Database
Retrieve detailed metabolic pathway information and gene annotations from KEGG databases using davila7's tool.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add kegg-database npx -- -y @trustedskills/kegg-database
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"kegg-database": {
"command": "npx",
"args": [
"-y",
"@trustedskills/kegg-database"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The KEGG Database skill enables AI agents to query and retrieve structured biological data from the Kyoto Encyclopedia of Genes and Genomes. It allows for searching gene functions, metabolic pathways, and chemical compounds directly within the agent's workflow.
When to use it
- Analyzing specific gene annotations or protein functions in a genomic study.
- Mapping metabolic reactions to understand cellular processes in bioinformatics.
- Investigating drug-target interactions using KEGG compound and disease databases.
- Validating biological hypotheses by cross-referencing pathway data with experimental results.
Key capabilities
- Querying gene and genome information via KEGG IDs or names.
- Retrieving detailed metabolic pathway maps and reaction details.
- Accessing chemical substance data including compounds and drugs.
- Searching disease-related entries and genetic associations within KEGG.
Example prompts
- "Find all genes associated with the 'glycolysis' pathway in Homo sapiens."
- "Retrieve the chemical structure and biological targets for aspirin from KEGG."
- "List diseases linked to mutations in the BRCA1 gene according to KEGG annotations."
Tips & gotchas
Ensure your AI agent has internet access, as this skill relies on live data from the external KEGG server. Queries may return limited results if the specific organism or pathway is not well-documented in the current KEGG release.
Tags
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