Provides containerization support as indicated by the Docker-Ready badge, allowing deployment of the MCP server in Docker containers.
Manages environment variables for secure credential storage, specifically for Cortellis API authentication.
Enables access to repository information, issues, and pull requests via GitHub integration as indicated by the repository activity badges and references.
Provides platform support for Linux operating systems as indicated in the platform support badges.
Offers platform support for macOS operating systems as indicated in the platform support badges.
Uses Mermaid diagrams to illustrate the architecture and data flow between the AI assistant, MCP server, and Cortellis API.
Enables installation through the Python Package Index with version tracking and download statistics as shown by the PyPI badges.
Built for Python 3.10+ environments, with specific compatibility requirements as noted in the technology stack section.
Implements code style formatting using Ruff as indicated in the technology stack badges.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
An MCP server enabling AI assistants to search and analyze pharmaceutical data through Cortellis. Features comprehensive drug search, ontology exploration, and real-time clinical trial data access.
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