drug-interaction-mcp
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Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@drug-interaction-mcpcheck interaction between warfarin and ibuprofen"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
drug-interaction-mcp — SCAFFOLD
Drug-drug interaction checker for clinical LLMs. Wraps RxNorm + openFDA + DailyMed. High-stakes use case → high willingness-to-pay (clinical LLM startups).
Status: scaffolded. Idea #20 in ../../../ai-as-customer-ideas.md.
Planned tools
Tool | Source | What it returns |
| RxNorm + DailyMed | Severity (contraindicated / major / moderate / minor), mechanism, references. |
| RxNorm | Pairwise matrix for a polypharmacy regimen. |
| DailyMed labels | Indication-specific dose ranges. Premium. |
| RxNorm | Map brand to generic (RxCUI). |
| RxNorm class hierarchy | Same-class alternatives. Premium. |
Related MCP server: DailyMed MCP Server
Audience
Clinical LLM startups (Hippocratic, OpenEvidence, Glass, etc.). High-stakes use case → they pay $99+/mo without blinking when it works.
Pricing (higher than peers)
Tier | Price | Notes |
Free | $0 | 50 calls/mo (clinical, conservative) |
Solo | $29 | 1,000 |
Team | $99 | 10,000 + dose_guide + find_alternatives |
Pro | $299 | 100,000 + alerts + custom interaction-table import |
Risk notes
This is high-stakes. Bad data could harm patients. Clinical buyers will absolutely audit your sources.
Cite every interaction back to its source (DailyMed label section, RxNorm relationship). Make sources part of the response payload, not an afterthought.
Add disclaimer in every response: "For clinical decision support; final responsibility rests with the prescriber."
Possibly: insurance / SOC2 path eventually. For initial launch, just be honest about sources + freshness.
Open / closed split
Open: RxNorm wrapper, drug normalization, basic interaction lookup.
Closed: interaction-severity scoring, alternative-finding logic, the precomputed interaction matrix (the data is from CMS but the index and severity scoring is the moat).
See also
../fda-approvals-mcp/— same audience.../README.md— Category 1 pipeline.
Sister MCPs
All from the same operator, all live on <product>.prakhar-cognizance.workers.dev, all free-tier friendly:
Group | Products |
Research | sec-edgar · arxiv · world-bank-economic · uspto-patents · fda-approvals |
Verification + Utility | |
India | |
Real-time | hn-trending · wikipedia-recent-changes · gdelt-events · crypto-prices |
Healthcare | |
Logistics |
Full catalog: https://github.com/guptaprakhariitr · ⭐ = empty-quadrant / highest-conviction pick.
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