Oliver's mTOR Atlas

MCP serverDev tools

Evidence-labelled mTOR research: studies, entities, pathway claims, contradictions, open questions.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the atlas about tool from Oliver's mTOR Atlas

Install Oliver's mTOR Atlas

The server’s own address, for the clients that take one directly. Or connect ahel once and every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user oliver-s-mtor-atlas 'https://mtor-atlas-mcp.mtor-atlas.workers.dev/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://mtor-atlas-mcp.mtor-atlas.workers.dev/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=oliver-s-mtor-atlas&config=eyJ1cmwiOiJodHRwczovL210b3ItYXRsYXMtbWNwLm10b3ItYXRsYXMud29ya2Vycy5kZXYvbWNwIn0=

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://mtor-atlas-mcp.mtor-atlas.workers.dev/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add oliver-s-mtor-atlas --url 'https://mtor-atlas-mcp.mtor-atlas.workers.dev/mcp'

    Run it once, then sign in with codex mcp login oliver-s-mtor-atlas if the server asks for an account.

From the project's README

As published by open-mtor-atlas/atlas in README.md.

A curated, evidence-graded database of mTOR pathway research in which every claim carries its source, the conditions it was measured under, and the point where it stops holding. Studies are labelled by the kind of study behind them - from synthesis of human data down to mechanistic and in-vitro work - and traced back to their primary source, alongside a knowledge-graph view of genes, diseases, and interventions and a layer of open questions naming what the evidence does not yet resolve.

Live site: https://mtor-atlas.org

What's inside

  • 400+ hand-curated primary studies on the mTOR signaling pathway (mTORC1/mTORC2, autophagy, rapamycin and related interventions), each labelled by the kind of study behind it and linked back to its DOI/PubMed record.
  • A knowledge-graph view connecting genes, diseases, and interventions.
  • An "open questions" layer - evidence gaps identified across the corpus, each paired with a proposed testable experiment.
  • A citation-grounded research assistant that answers pathway questions using only the indexed corpus, with links back to source studies.

Evidence grading

Studies are hand-selected from PubMed / Europe PMC and labelled by study design, not by quality, importance, or citation count:

  • S - synthesis of human data (systematic review / meta-analysis)
  • H - human study (clinical trial or observational)
  • A - animal model
  • M - molecular / in-vitro (mechanistic)
  • R - review

These codes ran A-D until September 2026. They were renamed because a lettered ladder reads as a quality grade, which it never was, and because the old bottom tier merged primary mechanistic work with narrative reviews - two different kinds of claim. The change was prompted by an external critique from a researcher in the field; the underlying data was not re-graded, only the labels shown to readers.

A mechanistic paper is not "worse" than a trial. The code says what kind of claim a study can support, not how good it is.

About this project

Built and maintained independently by Oliver, a high-school student, together with his father Petr. Not affiliated with any lab, company, or institution. Feedback on the evidence grading, missing studies, or anything that looks wrong is very welcome - please open an issue. See CONTRIBUTING.md.

Programmatic access

Citing this dataset

If you use this dataset, please cite it via its Zenodo record: https://doi.org/10.5281/zenodo.22059963

A single page with all identifiers, registrations (bio.tools, FAIRsharing, GitHub, ORCID) and a ready-to-use citation is at https://mtor-atlas.org/data/.

License

This repository is dual-licensed, because it contains two different kinds of thing:

  • Curated content and data - the study records, evidence grades, curated prose, gap hypotheses, and everything under atlas_data/ and the generated pages - are licensed under CC BY 4.0 (see LICENSE): https://creativecommons.org/licenses/by/4.0/
  • Source code - the Python generators, validation and verification scripts, and site JavaScript - is licensed under the MIT License (see LICENSE-CODE).

If you reuse the data, attribute it. If you reuse the code, MIT terms apply.

Tools it offers (11)

What this server listed when ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.

  • atlas_about
  • search_studies
  • get_study
  • search_entities
  • get_entity
  • find_relations
  • get_relation
  • evidence_between
  • find_contradictions
  • list_questions
  • get_question

Signals

Last commit
Oct 2026
Advanced
Delivery
mtor-atlas MCP server → your ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-open-mtor-atlas-mtor-atlas
Source
github.com/open-mtor-atlas/atlas
Hosted endpoint
https://mtor-atlas-mcp.mtor-atlas.workers.dev/mcp