Cortellis MCP Server
An MCP server enabling AI assistants to search and analyze pharmaceutical data through Cortellis. Features comprehensive drug search and ontology exploration.
What is Cortellis MCP Server?
What is Cortellis MCP Server? Cortellis MCP Server is a production-ready server that enables AI assistants to search and analyze pharmaceutical data through Cortellis, providing comprehensive drug search, ontology exploration, and real-time clinical trial data access. How to use Cortellis MCP Server? To use the Cortellis MCP Server, clone the repository from GitHub, install the necessary packages, set up your environment variables with your Cortellis API credentials, and then interact with the server using natural language prompts or API calls. Key features of Cortellis MCP Server? 🔍 Comprehensive Drug Search: Search by indication, phase, company, and access real-time drug development statuses. 🧬 Ontology Exploration: Explore standardized medical terminology and navigate drug classifications. 🔐 Secure Authentication: Environment-based credential management and secure API communication. 🛠 Developer-Friendly: Clear API documentation and easy integration with AI assistants. Use cases of Cortellis MCP Server? Drug discovery and development analysis. Clinical trial data retrieval and analysis. Pharmaceutical market research and competitive intelligence. FAQ from Cortellis MCP Server? Can I use Cortellis MCP Server for all pharmaceutical queries? Yes! It supports a wide range of queries related to drug development and clinical trials. Is there a cost associated with using Cortellis MCP Server? The server is open-source and free to use, but you will need valid Cortellis API credentials. How secure is the data handled by Cortellis MCP Server? The server employs secure authentication, HTTPS encryption, and regular security audits to ensure data safety.
As an MCP (Model Context Protocol) server, Cortellis MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Cortellis MCP Server
To use the Cortellis MCP Server, clone the repository from GitHub, install the necessary packages, set up your environment variables with your Cortellis API credentials, and then interact with the server using natural language prompts or API calls. Key features of Cortellis MCP Server? 🔍 Comprehensive Drug Search: Search by indication, phase, company, and access real-time drug development statuses. 🧬 Ontology Exploration: Explore standardized medical terminology and navigate drug classifications. 🔐 Secure Authentication: Environment-based credential management and secure API communication. 🛠 Developer-Friendly: Clear API documentation and easy integration with AI assistants. Use cases of Cortellis MCP Server? Drug discovery and development analysis. Clinical trial data retrieval and analysis. Pharmaceutical market research and competitive intelligence. FAQ from Cortellis MCP Server? Can I use Cortellis MCP Server for all pharmaceutical queries? Yes! It supports a wide range of queries related to drug development and clinical trials. Is there a cost associated with using Cortellis MCP Server? The server is open-source and free to use, but you will need valid Cortellis API credentials. How secure is the data handled by Cortellis MCP Server? The server employs secure authentication, HTTPS encryption, and regular security audits to ensure data safety.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Cortellis MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Cortellis MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.