Who it is for
Computational biologists and life science researchers who want database lookup and cited synthesis handled together.
AI Connectors · Education & Research
Research router and evidence synthesis for life sciences
Overview
Life Science Research is a set of internal workflows for Codex that take a research question, work out which entities it refers to, normalize them, select the skills needed, and assemble an evidence-backed answer from public resources.
Subject range covers human genetics, functional genomics, expression data, pathways, protein structure, chemistry, pharmacology, published literature, clinical evidence, and the discovery of public studies. A research router entrypoint handles broad tasks, and independent lines of evidence can be split across subagents working at the same time.
The listed skills name the underlying sources, among them AlphaFold, Bgee, BindingDB, BioBank Japan PheWAS, bioRxiv, BioStudies ArrayExpress, cBioPortal, and CELLxGENE. The plugin is marked interactive, with read and write capabilities.
Computational biologists and life science researchers who want database lookup and cited synthesis handled together.
Parallel subagents split independent evidence lanes, and a router picks the sources instead of requiring them to be named.
Availability
Life Science Research is listed in the ChatGPT apps directory only. OpenAI has no connector under the same domain in the Claude directory; 392 of the 3,150 products here are on both marketplaces, and this is not one of them.
ChatGPT apps are built on MCP, and the same server can back a Claude connector, so the absence is a distribution decision rather than a technical one.
ChatGPT listing
Life Science Research declares 50 named skills, which puts it in the 6.7% of ChatGPT-listed apps that do.
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This is an independent catalogue entry compiled by Node8 from Life Science Research's public marketplace listing as it stood in August 2026. Listing facts come from the marketplaces; the comparisons against the rest of the directory and any live-endpoint measurements are Node8's. Node8 is not affiliated with OpenAI, and inclusion here is not an endorsement.
Node8 builds MCP servers end to end: deciding which tools are worth exposing, the authentication and permission model, the review submissions, and the onboarding that gets them used. One server serves ChatGPT, Claude, and Microsoft Copilot.