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Atlas MCP Server

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

About

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

Remote endpoints: streamable-http: https://mtor-atlas-mcp.mtor-atlas.workers.dev/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (3 strong, 2 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.

11 tools verified · Open access · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

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file_system

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HTTP Network Access

Connects to external APIs or services over the internet.

What You'll Need

Set these up before or after installing:

Optional. Base URL (or local folder) of the Atlas API. Defaults to https://mtor-atlas.org/api/v1Optional

Environment variable: ATLAS_API_BASE

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

Oliver's mTOR Atlas

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

DOI

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.

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