What kind of protein information can I retrieve?

You can retrieve protein names, function descriptions, full sequences, sequence lengths, and organism data, all using UniProt accession numbers.

Yes, the tool implements caching for improved performance with a 24-hour Time-To-Live (TTL).

What is UniProt MCP Server?

It's a Model Context Protocol (MCP) server that allows AI assistants and applications to directly access protein function and sequence information from UniProt.

Does this tool support batch retrieval?

Yes, it supports batch retrieval of multiple proteins, allowing you to fetch information for several proteins at once.

How do I integrate this with Claude?

You can configure the server in your Claude Desktop config file (claude_desktop_config.json) by adding the UniProt MCP server configuration.

UniProt

Name: UniProt
Author: TakumiY235

byTakumiY235

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Data Science & ML

API Development

Learning & Documentation

Accesses protein function and sequence information directly from UniProt.

Enables AI assistants to fetch protein function and sequence information directly from UniProt using the Model Context Protocol. It provides access to protein information by UniProt accession number, supporting batch retrieval of multiple proteins and caching for improved performance. The server returns details such as protein name, function description, full sequence, sequence length, and organism.

Key Features

01Implements caching for improved performance (24-hour TTL).

021 GitHub stars

03Retrieves protein information by UniProt accession number.

04Provides protein name, function description, full sequence, sequence length, and organism data.

05Supports batch retrieval of multiple proteins.

06Includes error handling and logging.

Use Cases

01Fetching protein information for a single UniProt accession number.

02Comparing protein information for multiple UniProt accession numbers.

03Integrating protein data into AI assistant workflows.