Access ClinicalTrials.gov data
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
Strand AI
Predict spatial proteomics from H&E histology slides
Boltz API
Predict molecular structures and binding interactions, screen libraries, and design binders with the Boltz API.
Rhizome AI
Know what your regulator thinks
Rockhopper
The audit trail and governance layer for every file your team and your AI touch.
LatchBio
Analyze data and launch bioinformatics workflows
Addgene
Search Addgene's catalog of plasmids and viral preps
Clinical Trials is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Clinical Trials benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: Clinical Trials surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Clinical Trials has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Clinical Trials is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, Clinical Trials benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Clinical Trials for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Clinical Trials against two servers with overlapping tools; this profile had the clearer scope statement.
We wired Clinical Trials into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Clinical Trials reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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Manual configuration
{
"mcpServers": {
"clinical-trials": {
"url": "https://hcls.mcp.claude.com/clinical_trials/mcp"
}
}
}Sign in: Not required.
Access ClinicalTrials.gov data
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.