OLS
Provides a reliable interface for AI assistants to access and query the EBI Ontology Lookup Service (OLS) for accurate ontological information.
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Addressing the challenge of large language models hallucinating ontology terms, the OLS server acts as a Model Context Protocol (MCP) server for the EBI Ontology Lookup Service (OLS) API. It enables AI assistants, such as Claude Desktop, to accurately search for and retrieve ontological terms, concepts, and hierarchies from a wide range of biological and medical ontologies. This ensures that AI interactions with complex domain-specific knowledge are grounded in verified, up-to-date data, making it easier for users to leverage natural language for scientific and medical inquiries.
Características Principales
- Discover semantically similar terms using LLM embeddings
- Get comprehensive details about specific ontological terms
- Explore ontological hierarchies by finding child and ancestor terms
- Search terms across various ontologies with flexible filtering
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- Discover and retrieve metadata for available ontologies
Casos de Uso
- Identifying relevant ontologies for particular chemical compounds or medical conditions.
- Finding terms semantically similar to a given concept for deeper exploration.
- Understanding the hierarchical relationships of scientific concepts by exploring term ancestors and children.
- Querying for terms related to specific diseases or biological processes in natural language through AI assistants.