Life Sciences Claude Code Toolkit
PubMed · bioRxiv · Benchling · 10x Genomics · BioRender — all connected. Ships August 2026.
I set up Claude Code for a bioinformatics researcher last week.
Every Monday morning, Claude pulls new papers from your watchlist across PubMed and bioRxiv, synthesises them into a structured digest, and flags anything that contradicts your current hypothesis. She'd been manually doing this for 6 years. 40 papers a week, every week. It ran in the first configured session.
I've been watching this build in real time. Life sciences has the richest MCP connector stack of any vertical on Claude's directory. PubMed, bioRxiv, Benchling, 10x Genomics, BioRender — five connectors, all verified, all ready to connect in one afternoon.
"40 papers reviewed manually every week for 6 years. Automated in the first configured session."
Bioinformatics researcher — first session after toolkit setupWhat runs in a configured research session.
All five life sciences connectors verified on Claude's directory. Setup time: one afternoon.
Biomedical literature search and retrieval across 35M+ citations. Direct from Claude — no browser switching, no manual search.
Preprint access and monitoring. Stay ahead of published literature. New papers on your topic flagged automatically.
R&D notebooks and experimental data. Your lab records inside Claude — protocol access, experimental results, structured search.
Pulls top n papers from PubMed + bioRxiv. Synthesises structured review, key claims, methodology summary, gap identification.
Standard operating procedure with complete materials list, numbered steps, safety precautions, and troubleshooting for the 3 most common failure modes.
Draft Significance, Background, or Approach sections for NIH R01, DST, SERB, or Wellcome grants. Word limits respected, framework language matched.
Copy these, replace the brackets, paste into Claude.
These work in regular Claude.ai today — no connector setup needed to test them.
Search for the top 10 papers on [your topic] published in the last 18 months. For each: summarize the key finding in 2 sentences, note the methodology, flag any replication concerns, and identify what it contradicts or extends in the existing literature.Connect PubMed via Claude's connector directory for direct literature search. With /lit-review, this runs against your active watchlist automatically.
Write a standard operating procedure for [experiment type, e.g. single-cell RNA sequencing, western blot, CRISPR screen]. Include: complete materials list with quantities, numbered steps, safety precautions, expected results at each checkpoint, and troubleshooting for the 3 most common failure modes.Pair with Benchling connector to pull your existing protocols and generate Benchling-compatible output directly.
Draft the Significance section for a [NIH R01 / DST / SERB / Wellcome] grant on [your research topic]. Max [word count]. Frame around: the specific gap in current knowledge, why addressing it matters now, and what our approach uniquely enables that existing methods don't. Avoid passive voice.Provide your specific aims page as context for best results. The /grant-section command handles this automatically in a configured setup.
I'm sharing [data type, e.g. scRNA-seq QC metrics / western blot bands / CRISPR screen results]. Interpret using [relevant framework]. Flag: unexpected findings that don't fit the hypothesis, potential technical confounds, and what the data suggests we should prioritise in the next experiment.Works with uploaded data files, pasted tables, or images of results. Claude can read Benchling experimental data directly with the connector.
People don't Google your research tool anymore. They ask Claude.
If you build software for research teams — lab management, ELN, genomics platforms, literature tools — your category is near-empty on Claude's directory right now. Life sciences researchers are among the most sophisticated Claude users. The teams that get listed while the category is open become the default recommendation.
Subject: [Product] + Claude — something your team should probably know Hi [Company] team, I use [Product] for [literature review / lab management / data analysis] daily. I also live in Claude. Every session I context-switch between them — find data in [Product], paste it into Claude. Friction I've accepted. But it doesn't have to exist. A Claude MCP connector would let me use [Product] directly from Claude without switching context. Life sciences connectors on Claude's directory are sparse. Your category may still be open. The team that builds these: architeqt.ai — [Your name]
30 minutes to configure. Results visible in week one.
First cohort onboards in August.
Priority for researchers who join before July 31. I'll reach out before the cohort starts to understand your research context and configure the toolkit to your actual workflow.
Want to see /lit-review in action?
15 minutes. I'll run a real PubMed query on your topic and show you what the synthesis looks like before you decide anything.