OLS FAQs

Question 1

How do I integrate OLS with my AI assistant like Claude Desktop?

Accepted Answer

You can integrate OLS by adding a specific configuration to your AI assistant's configuration file (e.g., `claude_desktop_config.json` for Claude Desktop). This sets up OLS as an MCP server, allowing natural language queries.

Question 2

What is the OLS MCP Server?

Accepted Answer

The OLS MCP Server provides a reliable interface for AI assistants to access and query the EBI Ontology Lookup Service (OLS) API, ensuring accurate, up-to-date ontological information and preventing AI hallucination of terms.

Question 3

Which ontologies are supported by the OLS MCP Server?

Accepted Answer

The server supports any ontology available through the EBI Ontology Lookup Service, including widely used ones like Gene Ontology (GO), Human Phenotype Ontology (HP), Experimental Factor Ontology (EFO), Monarch Disease Ontology (MONDO), and many others.

Question 4

What types of ontological information can I retrieve with OLS?

Accepted Answer

You can search terms across various ontologies, discover available ontologies and their metadata, get comprehensive details about specific terms, explore ontological hierarchies (child/ancestor terms), and find semantically similar terms using LLM embeddings.

Question 5

How does OLS benefit AI assistants and LLMs?

Accepted Answer

Large Language Models often hallucinate ontological terms. OLS provides a verified, up-to-date source for ontological information, enabling AI assistants to access correct and reliable biological and medical data for their tasks.

OLS

OLS

主要功能

使用案例

主要功能

使用案例