The UniProt MCP Server is a backend service that allows AI assistants to fetch detailed protein information, such as function and sequence data, directly from the UniProt database.
To use it, clone its repository, install the required dependencies, and configure it within the Claude Desktop application. You can then request protein data by making API queries using UniProt accession numbers.
Key features include retrieving protein details by accession number, supporting batch requests for multiple proteins, employing performance caching with a 24-hour TTL, and providing comprehensive error handling and logging.
Primary use cases are accessing protein data for bioinformatics, integrating protein queries into AI applications, and comparing sequences and functions within research workflows.
Frequently asked questions: The retrievable data includes protein name, function description, full sequence, sequence length, and organism. Configuration is straightforward via simple local setup steps. The server has robust error handling for issues like invalid accession numbers or network problems.