com.elements-live/elements-live

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Au dernier audit MCP Hub, le serveur MCP « com.elements-live/elements-live » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 9 outils

• get_element_papers≈ 352 tokens

  The top papers for one element, narrowed with keyword to one of its materials or applications (e.g. symbol='Al', keyword='aluminum nitride'; the keyword must name one of the element's topics exactly, case aside -- search_subjects finds topic names). Returns title, DOI, venue, year, citations. sort=impact (default) favours recent, well-cited work; sort=foundational gives the most-cited classics; sort=newest the latest. Each paper carries its abstract where one is on file (about 6 in 10). Requires a Personal+ account. Capped at 100 papers with no pagination. Without a key, pay per call: $0.02 for up to 20 papers, $0.10 for up to 100, in USDC on Base or Solana via x402 (send the payment in _meta["x402/payment"]).

  Paramètres, retour & exemple (4)

  Paramètres

  • sort · string · optionnel · impact | newest | foundational
    impact = citation-impact ranking (default); newest = most recently published first; foundational = most-cited first (the classics a reading list starts from).
  • limit · integer · optionnel
  • symbol · string · requis
    Element symbol, e.g. 'Fe' (a name like 'Iron' or an atomic number like '26' also works)
  • keyword · string · optionnel
    Optional: narrow to one application keyword.

  Exemple d'appel

  {"name": "get_element_papers", "arguments": {"symbol": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_element_ri≈ 106 tokens

  Get current Research Intensity (RIS) for one of the 118 chemical elements, with a citation URL. No API key needed. Historical RI (HRI) is included with a Personal+ key.

  Paramètres, retour & exemple (1)

  Paramètres

  • symbol · string · requis
    Element symbol, e.g. 'Fe' (a name like 'Iron' or an atomic number like '26' also works)

  Exemple d'appel

  {"name": "get_element_ri", "arguments": {"symbol": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_subject_history≈ 137 tokens

  Full yearly (or monthly) RIS/HRI history for one topic/keyword/sector. Requires a Personal+ account. Without a key, pay per call: $0.10 in USDC on Base or Solana via x402 (send the payment in _meta["x402/payment"]).

  Paramètres, retour & exemple (3)

  Paramètres

  • resolution · string · optionnel · yearly | monthly
  • subject_id · string · requis
  • subject_type · string · requis · keyword | sector

  Exemple d'appel

  {"name": "get_subject_history", "arguments": {"subject_id": "texte", "subject_type": "keyword"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_subject_papers≈ 302 tokens

  The top papers for one research topic (resolve it with search_subjects first) -- title, DOI, venue, year, citations. Use it when asked what to READ about a specific topic, rather than how active it is. sort=impact (default) favours recent, well-cited work; sort=foundational gives the most-cited classics; sort=newest the latest. Each paper carries its abstract where one is on file (about 6 in 10). Requires a Personal+ account. Capped at 100 papers with no pagination. Without a key, pay per call: $0.02 for up to 20 papers, $0.10 for up to 100, in USDC on Base or Solana via x402 (send the payment in _meta["x402/payment"]).

  Paramètres, retour & exemple (4)

  Paramètres

  • sort · string · optionnel · impact | newest | foundational
    impact = citation-impact ranking (default); newest = most recently published first; foundational = most-cited first (the classics a reading list starts from).
  • limit · integer · optionnel
  • subject_id · string · requis
  • subject_type · string · requis · keyword | sector

  Exemple d'appel

  {"name": "get_subject_papers", "arguments": {"subject_id": "texte", "subject_type": "keyword"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_subject_ri≈ 131 tokens

  Get RI, RIS, HRI and paper count for one research topic/keyword/sector. Requires a Personal+ account -- call search_subjects first to resolve subject_type/subject_id. Without a key, pay per call: $0.01 in USDC on Base or Solana via x402 (send the payment in _meta["x402/payment"]).

  Paramètres, retour & exemple (2)

  Paramètres

  • subject_id · string · requis
  • subject_type · string · requis · keyword | sector

  Exemple d'appel

  {"name": "get_subject_ri", "arguments": {"subject_id": "texte", "subject_type": "keyword"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• lab_quote≈ 277 tokens

  Scope a multi-term question with a boolean filter: +must -exclude "exact topic" (a OR b) wild* year:2015..2026, over element symbols or names and EXACT topic names (e.g. +Li +Co "solid electrolyte" -sulfide). Words that are neither are DROPPED, and wildcards can expand into unrelated fields: read `warnings` first -- it lists every dropped term with the nearest topics, every abbreviation read as a topic, and every wildcard expansion. Returns how many papers match, by year and by research community, the nearest broader query when nothing matches, and a quote_id that lab_run turns into the ranked papers. Narrow filters (two elements + one topic) work best. Requires a Professional+ account. Without a key, pay per call: $0.01 in USDC on Base or Solana via x402 (send the payment in _meta["x402/payment"]).

  Paramètres, retour & exemple (2)

  Paramètres

  • query · string · optionnel
    The filter, in the syntax above.
  • markdown · string · optionnel
    Alternative: markdown carrying the filter in a ```query fenced block.

  Exemple d'appel

  {"name": "lab_quote", "arguments": {"query": "texte", "markdown": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• lab_run≈ 193 tokens

  Get the papers for a lab_quote: pass its quote_id and a depth (papers_20 or papers_100) to get the top papers matching the quoted filter, ranked by impact, with the curation behind each rank. Each paper carries its abstract where one is on file (about 6 in 10). A stale or expired quote is refused. Requires a Professional+ account. Without a key, pay per call: the quoted price of the depth, less the $0.01 quote credit in USDC on Base or Solana via x402 (send the payment in _meta["x402/payment"]).

  Paramètres, retour & exemple (2)

  Paramètres

  • depth · string · optionnel · papers_20 | papers_100
  • quote_id · string · requis
    From lab_quote.

  Exemple d'appel

  {"name": "lab_run", "arguments": {"quote_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• research≈ 492 tokens

  CALL THIS FIRST for a literature question about chemistry, materials or physics research -- a broad one ('what matters in X') or a specific process or parameter one (a deposition condition, a property value, a defect mechanism). Send the question in plain words (q), or a paper you already know (paper: DOI or title). Returns reading lists in four lenses: relevant (the papers whose TITLE AND ABSTRACT best match the question, across the whole corpus, BM25 -- start here for a specific question), foundational (the classics the question's own papers cite most), now (highest impact, young papers' citations projected) and newest (last two years); plus the research communities and element sub-communities the question is about, with why each matched and whether it is rising. Put the question's key terms in q: filler words are ignored. unmatched_terms lists words that matched nothing; rephrase those. Each paper carries its DOI, a one-line reason and its abstract where one is on file. Our corpus is curated, not complete: the relevant lens also brings up to 3 of every 10 results from OpenAlex, marked source='openalex' and labelled not yet curated. One page = up to 10 papers per lens; ask for page 2+ only if needed. Requires a Personal+ account. Without a key, pay per call: $0.05 in USDC on Base or Solana via x402 (send the payment in _meta["x402/payment"]).

  Paramètres, retour & exemple (5)

  Paramètres

  • q · string · optionnel
    The research question, in plain words.
  • page · integer · optionnel
  • paper · string · optionnel
    Alternative to q: a DOI or title to start from.
  • lenses · array · optionnel
    Default: all four.
  • page_size · integer · optionnel
    Papers per lens.

  Exemple d'appel

  {"name": "research", "arguments": {"q": "texte", "page": 1, "paper": "texte", "lenses": [], "page_size": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• search_subjects≈ 104 tokens

  Resolve a free-text query (a compound, material, or research topic) to its subject_type/subject_id for use with get_subject_ri. Free with any API key. Without a key, pay per call: $0.01 in USDC on Base or Solana via x402 (send the payment in _meta["x402/payment"]).

  Paramètres, retour & exemple (1)

  Paramètres

  • query · string · requis

  Exemple d'appel

  {"name": "search_subjects", "arguments": {"query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://www.elements-live.com/mcp