TruthStack1

TruthStack MCP Server

Community TruthStack1
Updated

Supplement safety MCP server for AI agents. FDA FAERS signals, CYP450 pathways, 584 compound aliases. Works with Claude Desktop, LangChain, CrewAI.

TruthStack MCP Server

The first supplement-drug interaction safety tool for AI agents.

TruthStack provides structured, evidence-based supplement safety intelligence via the Model Context Protocol. Instead of relying on LLM training data that hallucinates safety information, your agent calls TruthStack for deterministic, cited risk assessments.

Why This Exists

LLMs confidently say "ashwagandha is generally safe with sertraline." TruthStack's API returns MODERATE RISK with 25 FDA adverse event reports and CYP3A4 pathway conflict data. That gap kills people.

5 Tools

Tool What It Does When to Use
check_interactions Supplements + medications → risk level, FAERS signals, CYP conflicts User mentions supplements + meds together
search_compounds Fuzzy name search (584 aliases, handles misspellings/brands) Need to resolve messy input ("mag gly", "KSM-66")
get_compound_info Full compound profile + all interactions Deep dive on a specific supplement
explain_interaction Human-readable WHY — mechanism, severity, evidence summary Need to explain risk to a user
get_evidence Raw evidence: FAERS counts, CYP data, research grades, label warnings Need to cite sources or provide provenance

Data Sources

  • FDA FAERS — 805 adverse event signals from real-world pharmacovigilance
  • FDA Drug Labels — CYP450 pathways, contraindications, botanical warnings
  • PubMed/ClinicalTrials.gov — 220 research findings with evidence grading
  • 584 compound aliases — misspellings, brand names, abbreviations, product forms

Quick Start

1. Get API Key

Contact [email protected] or visit truthstack.co

2. Install

git clone https://github.com/truthstack/truthstack-mcp.git
cd truthstack-mcp
npm install

3. Configure Claude Desktop

Edit ~/.claude/claude_desktop_config.json:

{
  "mcpServers": {
    "truthstack": {
      "command": "node",
      "args": ["/path/to/truthstack-mcp/server.js"],
      "env": {
        "VAULT_API_URL": "https://api.truthstack.co",
        "VAULT_API_KEY": "your-api-key"
      }
    }
  }
}

Restart Claude Desktop. You'll see TruthStack tools available in the tool picker.

4. Test It

Ask Claude: "I take ashwagandha, fish oil, and magnesium with sertraline. Is this safe?"

Claude will call check_interactions and return a structured risk assessment with FDA adverse event data.

LangChain Integration

from langchain_community.tools import MCPTool

# If using MCP adapter
truthstack = MCPTool(server_path="./server.js", env={
    "VAULT_API_URL": "https://api.truthstack.co",
    "VAULT_API_KEY": "your-key"
})

# Or call the REST API directly
import requests

response = requests.post(
    "https://api.truthstack.co/api/interactions/check",
    headers={"X-API-Key": "your-key"},
    json={
        "supplements": ["ashwagandha", "fish oil", "magnesium"],
        "medications": ["sertraline"]
    }
)
print(response.json())

REST API Fallback

Every MCP tool maps to a REST endpoint:

MCP Tool REST Endpoint
check_interactions POST /api/interactions/check
search_compounds GET /api/compounds/search?q={query}
get_compound_info GET /api/compounds/{id} + GET /api/compounds/{id}/interactions
explain_interaction Composite (search + interactions + drug profile)
get_evidence Composite (search + interactions + drug profile)

Base URL: https://api.truthstack.coAuth: X-API-Key header

Example Response

User: "Is ashwagandha safe with sertraline?"

→ check_interactions({
    supplements: ["ashwagandha"],
    medications: ["sertraline"]
  })

→ {
    "risk_level": "MODERATE",
    "drug_interactions": [{
      "supplement": "ashwagandha",
      "drug": "sertraline",
      "severity": "MODERATE",
      "source": "FDA FAERS",
      "report_count": 25,
      "description": "Pharmacovigilance signal — 25 serious adverse events reported"
    }],
    "cyp_pathway_conflicts": [{
      "drug": "sertraline",
      "supplement": "ashwagandha",
      "shared_cyp_pathways": ["CYP3A4"]
    }]
  }

Compare to raw LLM: "Ashwagandha is generally considered safe and may complement sertraline for anxiety."

System Message Template

If you're building a health agent, add this to your system prompt:

You have access to TruthStack supplement safety tools. ALWAYS use check_interactions 
before confirming any supplement is safe with a medication. Never rely on your training 
data for drug-supplement interaction safety — use the structured API instead.

When reporting results:
- State the risk level clearly (CRITICAL/HIGH/MODERATE/LOW)
- Mention specific FAERS adverse event counts when available
- Note CYP pathway conflicts
- Always recommend consulting a healthcare provider for MODERATE+ risks
- Use explain_interaction when users ask "why is this risky?"
- Use get_evidence when users want to see the sources

Contributing

We're looking for:

  • Integration partners — building a health AI agent? Get free API access.
  • Compound contributions — know of missing supplement aliases or interactions? Open an issue.
  • Framework examples — help us add examples for CrewAI, AutoGen, LlamaIndex.

License

MIT

Contact

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