UniProt FAQs

Question 1

Does the tool handle large datasets efficiently?

Accepted Answer

Yes, it supports cursor-based pagination for search results and allows you to select specific fields to control the amount of returned data, ensuring efficient retrieval and processing of large result sets.

Question 2

How do I search for proteins or fetch specific entries?

Accepted Answer

The tool provides two main functions: `uniprot_search` for queries using standard UniProt syntax, and `uniprot_fetch` to retrieve specific protein entries by their accession IDs.

Question 3

What is the UniProt tool for LLM agents?

Accepted Answer

It's an MCP (Model Context Protocol) server designed to enable your LLM agents to directly access and query the comprehensive UniProt protein database using the `unipressed` Python library.

Question 4

Which UniProt databases can I query using this tool?

Accepted Answer

You can search across the UniProt Knowledgebase (UniProtKB), UniProt Archive (UniParc), and UniProt Reference Clusters (UniRef) to find relevant protein information.

Question 5

What data formats are supported for responses?

Accepted Answer

Responses are returned in standard JSON format by default, with TOON format available as an alternative option for more compact data serialization.

UniProt

Key Features

Use Cases

UniProt

Key Features

Use Cases