Evidence-based answers grounded in research
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
AdisInsight
Pharmaceutical drug & clinical trial intelligence
Cortellis Regulatory Intelligence
Trusted Regulatory Answers, by Clarivate Cortellis
Cortellis CMC Intelligence
Trusted regulatory CMC insights, powered by Clarivate’s Cortellis CMC Intelligence.
CorralData
Connect Claude to CorralData so it can query your data, build dashboards, and manage boards and data apps without leaving the conversation.
Revvity Signals AI
Natural language access to Signals electronic notebook
Vital Care Finder
Scite is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Scite into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: Scite surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Useful MCP listing: Scite is the kind of server we cite when onboarding engineers to host + tool permissions.
Scite is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Scite for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Scite against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend Scite for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Scite benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We evaluated Scite against two servers with overlapping tools; this profile had the clearer scope statement.
showing 1-10 of 40
Share your MCP server with the developer community
Select a client to integrate this server.
Manual configuration
{
"mcpServers": {
"scite": {
"url": "https://api.scite.ai/mcp"
}
}
}Sign in: Required.
Evidence-based answers grounded in research
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.
Find and compare US doctors by specialty, medical need, location, and insurance plan.