Trusted Regulatory Answers, by Clarivate Cortellis
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Elicit
Search and analyze scientific papers
Helix GenoSphere
Query human genomics & longitudinal clinical data
CorralData
Connect Claude to CorralData so it can query your data, build dashboards, and manage boards and data apps without leaving the conversation.
Medidata
Clinical trial software and site ranking tools
Synapse.org
Search and metadata tools for Synapse scientific data
EDEN by Basecamp Research
Design antibiotics and prioritise vaccine targets against drug-resistant pathogens using EDEN, Basecamp Research's biological foundation model
We evaluated Cortellis Regulatory Intelligence against two servers with overlapping tools; this profile had the clearer scope statement.
We wired Cortellis Regulatory Intelligence into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Cortellis Regulatory Intelligence is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Cortellis Regulatory Intelligence reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Cortellis Regulatory Intelligence is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, Cortellis Regulatory Intelligence benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Cortellis Regulatory Intelligence into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Cortellis Regulatory Intelligence is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Cortellis Regulatory Intelligence against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Cortellis Regulatory Intelligence benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Manual configuration
{
"mcpServers": {
"cortellis-regulatory": {
"url": "https://api.clarivate.com/lifesciences/mcp-regulatory/mcp"
}
}
}Sign in: Required.
Trusted Regulatory Answers, by Clarivate Cortellis
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.