Overview
what is UniProt MCP Server?
The UniProt MCP Server is a Model Context Protocol (MCP) server that provides access to UniProt protein information, allowing AI assistants to fetch protein function and sequence information directly from UniProt.
how to use UniProt MCP Server?
To use the UniProt MCP Server, clone the repository, install the required dependencies, and configure it in your Claude Desktop application. You can then query protein information using UniProt accession numbers.
key features of UniProt MCP Server?
- Retrieve protein information by UniProt accession number
- Batch retrieval of multiple proteins
- Caching for improved performance (24-hour TTL)
- Detailed error handling and logging
- Information provided includes protein name, function description, full sequence, sequence length, and organism.
use cases of UniProt MCP Server?
- Fetching detailed information about specific proteins for research purposes.
- Comparing multiple proteins' information for analysis.
- Integrating protein data into AI applications for enhanced functionality.
FAQ from UniProt MCP Server?
- Can I retrieve information for multiple proteins at once?
Yes! The server supports batch retrieval of protein information.
- What programming language is required to run the server?
You need Python 3.10 or higher to run the UniProt MCP Server.
- Is there any caching mechanism in place?
Yes, the server implements caching with a 24-hour time-to-live (TTL) for improved performance.