Connect Strength Training Research to ChatGPT
Query Strength Training Research directly from ChatGPT. Arlet links the two through one MCP connection and takes care of API keys.
Answers training questions from the literature instead of from folklore, and connects the findings to concrete exercises.
Tools:
- search_strength_training_studies: PubMed, narrowed with MeSH terms so a query like 'training volume' returns resistance-training work rather than general exercise or rehabilitation. Metadata and links only.
- search_strength_training_fulltext: Europe PMC, for broader coverage and abstracts of open-access articles.
- lookup_exercises_by_muscle: the wger open exercise database, listing exercises for a target muscle with category, primary and secondary muscles and required equipment.
Scoping the population: most resistance-training research is done on older adults and clinical populations, so a plain query about sets and volume returns sarcopenia and geriatric-rehabilitation papers alongside the trainee-focused work. Both literature tools therefore take population ('healthy_trained', 'older_adults', 'clinical') and study_design ('review', 'systematic_review', 'meta_analysis', 'randomized_trial') arguments. These are applied as query clauses whose exact shape was verified against the live APIs, because Europe PMC fails silently on some hand-written filter expressions - it drops MeSH terms inside an OR group and returns zero results for unparenthesized NOT chains. Prefer these arguments over writing filters into the query.
Preprints are deliberately not here: SportRxiv covers strength and endurance alike, so searching it from two servers returned identical results. That search lives on the sports-science server instead.
Abstract handling: abstracts are returned only for open-access articles under a CC license; other records carry metadata and a link, because abstract text remains the publisher's copyright. PubMed results never include abstract text for the same reason.
This server reports what studies found. It does not prescribe a training program, and it is not medical advice - anyone with an injury or a medical condition should consult a professional.
How to connect Strength Training Research to ChatGPT
- 1
In the Arlet dashboard, open Data tools, find Strength Training Research and switch it on. No API key setup is needed.
- 2
In ChatGPT, open Settings β Plugins β Browse plugins and click + at the top right.
- 3
In the New Plugin form, enter "Arlet" as the Name, choose Server URL for Connection and enter https://mcp.arlet.dev/mcp/, pick OAuth for Authentication, check the risk acknowledgement and click Create.
- 4
Open the Arlet plugin you created, click Sign in with Arlet, sign in with Google and click Allow. The connection is complete.
If the Plugins screen is not shown, turn on Developer mode under Settings β Security and login.
