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Drug Repositioning
Intelligence for AI Agents

Turn 290 million compound-disease associations into actionable drug repurposing insights. Your AI agent connects directly — no dashboards, no login portals.

290M
Compound-Disease Edges
422
Tier1 Candidates
15K+
Expanded Candidates
84K
Literature Evidences
72.3
Avg Quality Score

Curated. Scored. Queryable.

Every compound-disease association is scored across 5 quality dimensions. Data sources: CTD, ChEMBL 37, PubMed/MEDLINE, MeSH. Updated monthly.

30%
Evidence Type
Therapeutic > Mechanism > Marker
25%
Binding Strength
pChEMBL value
20%
Literature Depth
PubMed article count
15%
Bridge Precision
Compound → Target → Disease chain
10%
Promiscuity Risk
Multi-target penalty

13 Tools. One Connection.

All tools are exposed via the MCP (Model Context Protocol). Your AI agent discovers them automatically.

🔍

search_by_disease

Search compounds repositionable for a disease. Matches by name or MeSH code across Tier1 high-confidence and relaxed candidate pools.

disease: string · limit: int (default 20)
🏆

get_tier1_top

Retrieve the top-ranked high-confidence candidates. Filter by disease and minimum quality score threshold.

disease?: string · limit?: int · min_dq?: number
💊

get_drug_detail

Explore a drug's full repositioning profile: which diseases it may treat, supporting evidence, and quality scores.

drug: string (name or ChEMBL ID)
📊

get_kpi

Platform overview: total candidates, average quality, coverage rate. No parameters needed.

(no parameters)
📋

list_diseases

Search the disease thesaurus. Returns MeSH codes and standard names. Supports Chinese and English keywords.

keyword: string · limit?: int
💰

get_pricing

Retrieve subscription tiers and Alipay payment QR code. Called automatically when the user asks about pricing.

(no parameters)
🔗

create_subscription

Generate a checkout link for a selected plan. Creates a Paddle transaction and returns the payment URL.

plan: string · email: string
🔔

get_notifications

Retrieve unread notifications for the current account. Called automatically at the start of each conversation to check for admin confirmations and activation updates.

(no parameters) · auto-called by AI agent
🤖

predict_repositioning

ML evidence scoring for known (drug, disease) candidate pairs. Sorts therapeutic-evidence confidence from a CTD-trained classifier.

drug: string · disease?: string
🧪

get_clinical_trials

Real ClinicalTrials.gov evidence: same-trial co-occurrence of candidate drug ∩ disease MeSH. Validation & competition signal (not efficacy proof).

drug? · disease? · limit?: int
⚠️

get_faers_signals

Post-market safety fingerprint from FDA FAERS (openFDA): real-world adverse-event profile aligned to the disease space.

drug: string · limit?: int
🔗

get_mechanism_path

Mechanism explainability: drug→target→gene→disease knowledge-graph path. Why a drug is mechanistically worth attention (not efficacy evidence).

drug: string · disease?: string · limit?: int
🔑

reset_api_key

Reset your API key via the email used at registration. Generates and sends a new key.

email: string

Plans for Every Scale

Pay-as-you-go subscription. Cancel anytime. All plans include full tool access with monthly query quota.

Explorer
¥199 /mo
For individual researchers
  • 500 queries / month
  • Full MCP tool access
  • Email support
Get Started
Enterprise
¥9,999 /mo
For pharma R&D departments
  • Unlimited queries
  • Full MCP tool access
  • Dedicated support
  • Custom integration
  • API SLA guarantee
Contact Sales

Integrate in 60 Seconds

Any MCP-compatible AI assistant (Claude Desktop, WorkBuddy, Cursor, etc.) can connect to your data in one line.

🔌 Via Smithery (Recommended)

# One command — installs CLI, adds server, ready to use
npx -y smithery mcp add 5928301/drug-repositioning

⚙️ Direct Connection

{
  "mcpServers": {
    "drug-repositioning": {
      "url": "https://nqnc.com/mcp",
      "headers": {
        "Authorization": "Bearer <your-api-key>"
      }
    }
  }
}

💬 Example Queries

# "Find drug repurposing candidates for lung cancer"
→ search_by_disease(disease: "D009447", limit: 10)

# "What new diseases can Sorafenib treat?"
→ get_drug_detail(drug: "SORAFENIB")

# "Show me the top 5 most confident candidates"
→ get_tier1_top(limit: 5, min_dq: 85)

# "What's the coverage of this database?"
→ get_kpi()

# "Is this candidate already in real clinical trials?"
→ get_clinical_trials(drug: "CURCUMIN", disease: "D009447")

# "Why is this drug mechanistically interesting?"
→ get_mechanism_path(drug: "CURCUMIN")

# "What's its real-world safety profile?"
→ get_faers_signals(drug: "METFORMIN")

🛡️ Authentication

All requests require a Bearer token in the Authorization header. Contact us to obtain your API key or get a free trial.

Ready to Accelerate Your Research?

Connect your AI agent to the most comprehensive drug repositioning dataset — or let us generate a custom report for your disease of interest.

Alipay accepted. Monthly subscription, cancel anytime.