Which integrations are available for this server?

Enables the integration of deterministic, evidence-based supplement-drug interaction safety intelligence into AI agents using the LangChain framework. Provides tools to retrieve and cite clinical research findings and evidence-graded data from PubMed to support supplement safety risk assessments.

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 chris@truthstack.co 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.co Auth: 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

API access: chris@truthstack.co
Website: truthstack.co
API docs: api.truthstack.co

truthstack-mcp