Trusted regulatory CMC insights, powered by Clarivate’s Cortellis CMC Intelligence.
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
EDEN by Basecamp Research
Design antibiotics and prioritise vaccine targets against drug-resistant pathogens using EDEN, Basecamp Research's biological foundation model
Scite
Evidence-based answers grounded in research
Amass Connector
Life sciences intelligence, unified — publications, trials, drugs, genes, regulatory approvals, and patents in one cross-linked connector
SandboxAQ
Large Quantitative Models for scientific discovery
Synapse.org
Search and metadata tools for Synapse scientific data
Rhizome AI
I recommend Cortellis CMC Intelligence for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Cortellis CMC Intelligence surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Cortellis CMC Intelligence reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Cortellis CMC Intelligence reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired Cortellis CMC Intelligence into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Cortellis CMC Intelligence benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Cortellis CMC Intelligence reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Cortellis CMC Intelligence is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, Cortellis CMC Intelligence benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Cortellis CMC Intelligence has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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Manual configuration
{
"mcpServers": {
"cortellis-cmc-intelligence": {
"url": "https://api.clarivate.com/lifesciences/mcp-cmc/mcp"
}
}
}Sign in: Required.
Trusted regulatory CMC insights, powered by Clarivate’s Cortellis CMC Intelligence.
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.
Know what your regulator thinks