Skip to main content
Glama
guptaprakhariitr

drug-interaction-mcp

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

check_interaction(drug_a, drug_b)

RxNorm + DailyMed

Severity (contraindicated / major / moderate / minor), mechanism, references.

check_interactions_multi(drug_list[])

RxNorm

Pairwise matrix for a polypharmacy regimen.

dose_guide(drug, condition?, age_band?)

DailyMed labels

Indication-specific dose ranges. Premium.

normalize_drug_name(name_or_brand)

RxNorm

Map brand to generic (RxCUI).

find_alternatives(drug, condition?)

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


Sister MCPs

All from the same operator, all live on <product>.prakhar-cognizance.workers.dev, all free-tier friendly:

Full catalog: https://github.com/guptaprakhariitr · ⭐ = empty-quadrant / highest-conviction pick.

F
license - not found
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/guptaprakhariitr/drug-interaction-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server