Give Claude and other AI assistants live access to your ClinicaLister portfolio through the Model Context Protocol (MCP) — the verifiable access layer. Ask in natural language, run cross-portfolio analysis, and drill into the provenance-backed source record behind any answer. No manual exports.
Extracting insights requires manual exports, formatting for analysis tools, re-running queries when data changes. AI assistants can help — but without direct access, every interaction starts with copy-pasting.
MCP integration connects your AI assistant directly to your trial portfolio, drug intelligence, device data, monitoring alerts, and saved queries. Ask questions in natural language, get answers grounded in live regulatory data.
The Model Context Protocol is an open standard that allows AI assistants to securely access external data sources.
Your AI assistant understands your trial portfolio the same way you do — referencing specific trials, comparing drug timelines, surfacing alerts, and cross-referencing safety data with direct access to your live data.
Industry-standard OAuth2 authentication secures the connection.
Navigate to Settings → MCP Integration tab
Click "Generate Credentials" for Client ID and Secret
In claude.ai, go to Customize → Connectors → "+"
Enter your ClinicaLister Server URL and credentials
Click Connect — live access to your trial portfolio
Followed trials with metadata, custom columns, contacts, locations
29,600+ FDA drugs, 2,700+ EMA medicines, patents, FAERS, pricing
177,000+ device submissions, GUDID, MAUDE reports, recalls
Trial modifications with severity, change history, audit trails
Execute saved queries, access filter criteria
"Summarize all Phase III oncology trials in my portfolio that changed status in the last 30 days."
"Which sponsors have the most trials targeting PD-L1? Are any linked drugs approaching patent expiration?"
"List all trials linked to drugs with active FDA boxed warnings or REMS requirements."
"Show device adverse events reported last quarter for devices linked to my orthopedic trials."
"Create a summary of top 10 drugs by trial count, including exclusivity end dates and biosimilar competition."
Live queries against current data. Best for interactive analysis, ad-hoc questions, ongoing monitoring.
Structured XLSX with 22 data sheets + embedded AI prompt. Best for deep offline analysis.
Use both together: live connection for day-to-day, structured export for comprehensive reviews.
OAuth2 Authentication — Industry-standard credential flow
Encrypted at Rest — AES-256 encryption for client secrets
Account-Scoped Access — Row-Level Security isolation
Instant Revocation — Revoke credentials anytime
No Data Stored by AI — Data provided on demand, not cached
The AI isn't guessing across raw tables — it reads our knowledge graph.
Because every drug, disease, and device resolves to a canonical identity with typed, confidence-scored links, an assistant can answer “every trial for this molecule and its biosimilars, with the regulatory and pricing context” in a single hop — and attach provenance to every claim. The knowledge graph is what turns live data access into trustworthy answers.