Metabolomics Workbench Database
Helps with AI, database as part of working with databases and data persistence workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add k-dense-ai-metabolomics-workbench-database npx -- -y @trustedskills/k-dense-ai-metabolomics-workbench-database
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"k-dense-ai-metabolomics-workbench-database": {
"command": "npx",
"args": [
"-y",
"@trustedskills/k-dense-ai-metabolomics-workbench-database"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides access to the Metabolomics Workbench database, enabling AI agents to retrieve and analyze metabolomic data. It allows for querying of experimental metadata, sample information, and associated raw or processed data files. The tool facilitates searching for specific datasets based on criteria like species, experimental design, and metabolite identification methods.
When to use it
- Literature review: Quickly identify relevant metabolomics studies related to a particular disease or pathway.
- Data integration: Combine Metabolomics Workbench data with other datasets for comprehensive analysis.
- Experimental design: Search for existing experimental protocols and workflows within the database.
- Reproducibility checks: Verify the availability of raw data and metadata necessary to reproduce published metabolomic findings.
Key capabilities
- Database querying using specific search criteria
- Access to experimental metadata
- Retrieval of sample information
- Data file access (raw or processed)
Example prompts
- "Find Metabolomics Workbench datasets related to Alzheimer's disease in mice."
- "Show me the experimental design for studies investigating lipid metabolism in human plasma."
- "Retrieve the raw data files associated with study ID HMDBXXXXX."
Tips & gotchas
This skill requires familiarity with metabolomics terminology and concepts. The database contains a large volume of data, so precise search terms are crucial for efficient results.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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