Evidence-based supplement guidance: clinical doses, form comparisons, interactions, cost-per-dose.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"com-verifiedsupplementdata-supplement-advisor-mcp": {
"command": "<see-readme>",
"args": []
}
}
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Evidence-based supplement guidance: clinical doses, form comparisons, interactions, cost-per-dose.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
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Evidence-based supplement recommendation MCP server. 19 supplements, 40+ conditions, medication interaction checking, form quality classification. Data sourced from NIH DSLD, PubMed, NSF, and USP.
Built for use with Claude, Cursor, Windsurf, and any MCP-compatible client.
| Tool | Description |
|---|---|
recommend_supplement | Get ranked supplement recommendations for a condition with clinical evidence, dosing, cost-per-dose, and purchase links |
compare_forms | Compare different forms of a supplement (e.g., magnesium glycinate vs citrate vs oxide) with absorption data and warnings |
check_interactions | Check if medications deplete nutrients — covers statins, metformin, PPIs, birth control, and more |
get_dosage | Get evidence-based dosage recommendations by condition, with clinical trial references and timing guidance |
classify_form | Paste any product name or ingredient list and get a quality verdict on the supplement form used |
Magnesium (glycinate), Vitamin D3, Omega-3, Creatine, Iron (bisglycinate), Vitamin B12, CoQ10, Collagen, Multivitamin, Protein, Biotin, Calcium Citrate, Vitamin C, Methylfolate, Probiotics, Ashwagandha, L-Theanine, Tongkat Ali, Zinc
npx supplement-advisor-mcp
Add to your MCP config:
{
"mcpServers": {
"supplement-advisor": {
"command": "npx",
"args": ["-y", "supplement-advisor-mcp"]
}
}
}
git clone https://github.com/erinheit451/supplement-advisor-mcp.git
cd supplement-advisor-mcp
npm install
npm run build
npm start
Full comparison pages and product rankings: verifiedsupplementdata.com
The server loads structured evidence data (clinical doses, form comparisons, medication-nutrient interactions) and exposes it through MCP tools. When an AI assistant receives a supplement question, it calls the appropriate tool and gets back formatted, citation-backed recommendations.
Product rankings are based on cost-per-effective-daily-dose, third-party certification status, and clinical evidence — not sponsorship.
MIT