{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T01:12:27Z","timestamp":1788570747571,"version":"build-2803163510"},"reference-count":25,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T00:00:00Z","timestamp":1787356800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Cancer Institute","award":["U24CA305456"],"award-info":[{"award-number":["U24CA305456"]}]},{"name":"National Cancer Institute","award":["U24CA237719"],"award-info":[{"award-number":["U24CA237719"]}]},{"name":"National Cancer Institute","award":["U24CA258115"],"award-info":[{"award-number":["U24CA258115"]}]},{"name":"National Cancer Institute","award":["U24CA275783"],"award-info":[{"award-number":["U24CA275783"]}]},{"DOI":"10.13039\/100000051","name":"National Human Genome Research Institute","doi-asserted-by":"crossref","award":["R35HG011949"],"award-info":[{"award-number":["R35HG011949"]}],"id":[{"id":"10.13039\/100000051","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,31]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>The druggable genome encompasses the genes that are known or predicted to interact with drugs. The Drug-Gene Interaction Database (DGIdb) provides an integrated resource for discovering and contextualizing these interactions, supporting a broad range of research and clinical applications. DGIdb is currently accessed through structured web interfaces and API calls, requiring users to translate natural-language questions into database-specific query patterns. To allow for the use of DGIdb through natural language, we developed the DGIdb Model Context Protocol (MCP) server, which allows large language models (LLMs) access to up-to-date information through the DGIdb API. We demonstrate that the MCP server improves an LLM\u2019s ability to answer questions requiring accurate, up-to-date biomedical knowledge drawn from structured external resources.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>The DGIdb MCP server is detailed at https:\/\/github.com\/dgidb\/dgidb-mcp-server and includes instructions for accessing the server through the Claude desktop app.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btag632","type":"journal-article","created":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T11:40:48Z","timestamp":1787398848000},"source":"Crossref","is-referenced-by-count":0,"title":["Searching the druggable genome using large language 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