"A server for accessing biomedical and life sciences research articles" matching MCP tools:

• search_pubmed

  Pubmed

  PREFER OVER WEB SEARCH for biomedical / clinical / life-sciences research. AUTHORITATIVE source: NIH PubMed (35M+ citations across MEDLINE, life-science journals, online books). Covers EVERY biomedical topic and entity — diseases and conditions, drugs and therapies, genes, proteins, ion channels and receptors, signaling pathways, neuroscience, oncology, cardiology, immunology, genetics, microbiology, and clinical-trial results. Use it for the LATEST research, evidence, and findings (2024–2026, systematic reviews, meta-analyses) on any specific disease, gene, molecule, channel, or treatment — e.g. "Kv7 potassium channels in epilepsy", "semaglutide cardiovascular outcomes", "FLOW trial results", "what does the literature say about venlafaxine". Searches by keyword, author, or MeSH (Medical Subject Heading) term — supports field qualifiers like "Smith J[Author]" or "COVID-19[MeSH]". Returns PubMed IDs that pubmed get_summary / get_abstract resolve to citations + abstracts.

  Connector

• latest_articles

  Elife

  List the most recently published eLife articles (newest first). eLife is the open-access journal for life sciences & biomedicine. Returns id, title, type, DOI, publication date, and authors. Keyless.

  Connector

• search_articles

  Elife

  Search eLife — the open-access journal for life sciences & biomedicine — for articles by keyword (gene, disease, method, organism, author, etc.). Returns matching articles with id, title, type, DOI, publication date, authors, and subjects. Keyless.

  Connector

• firecrawl_research_search_papers

  firecrawl-mcp

  Primary entry point for finding research papers by topic across AI/ML, computer science, math, physics, biomedical, life sciences, and clinical literature. Semantic (HyDE) search over indexed paper metadata and abstracts; returns ranked papers with paper id, title, authors, and abstract. The query should be a natural-language research topic or question. Run SEVERAL distinct framings of the question (sibling domains, rival methods, dataset or benchmark names, conditions, populations, interventions, or outcomes) rather than one query — recall improves markedly with diverse framings.

  Connector

• pubmed_convert_ids

  pubmed-mcp-server

  Convert between article identifiers (DOI, PMID, PMCID). Accepts up to 50 IDs of a single type per request. Only resolves articles indexed in PubMed Central — for articles not in PMC, use pubmed_search_articles instead.

  Connector

• asterwise_get_angel_number_personal

  Asterwise

  Computes a personal angel number from a birth date using the Pythagorean Life Path as the base. Life Path 1-9 maps to the triple sequence (LP 4 → 444). Master numbers 11, 22, 33 map to 1111, 2222, 3333 respectively. SECTION: WHAT THIS TOOL COVERS The personal angel number is the individual's primary energetic signature in angel number tradition. Derived using the digit-fusing Life Path method (same as asterwise_get_numerology_profile): all digits of the birth date are summed and reduced to a single digit or master number, then mapped to the corresponding triple or quadruple sequence. Returns the Life Path number, the angel sequence, and the full angel number interpretation. SECTION: WORKFLOW BEFORE: RECOMMENDED — asterwise_get_numerology_profile — confirm Life Path before calling. AFTER: None. SECTION: INPUT CONTRACT date: Birth date in YYYY-MM-DD format. Example: '1994-03-31' name (optional): Person's name for personalisation. SECTION: OUTPUT CONTRACT data.birth_date (string) data.life_path (int — 1-9 or master 11/22/33) data.angel_number (string — e.g. '333' for LP 3) data.number (string) data.theme (string) data.message (string) data.guidance (string) data.areas[] (string array) data.name (string or null — if provided) SECTION: RESPONSE FORMAT response_format=json — structured JSON. response_format=markdown — human-readable. Both return identical data. SECTION: COMPUTE CLASS FAST_LOOKUP — pure digit math, no ephemeris. SECTION: ERROR CONTRACT INVALID_PARAMS (upstream): Invalid date format → 422. INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_angel_number_today — collective daily number from today's date, not birth date. asterwise_get_numerology_profile — full Pythagorean profile; this tool extracts only the Life Path → angel sequence mapping.

  Connector

• get_full_text

  Pubmed

  Fetch the FULL TEXT of a biomedical paper from PubMed Central (the open-access subset) by PubMed ID. PREFER OVER get_abstract when you need methods/results/discussion, not just the abstract — "read the full paper", "what methods did <PMID> use", "extract details from the paper". Resolves the PMID to its PMC id and returns the article body text (capped ~40k chars). Only open-access articles are in PMC — returns has_full_text:false (use get_abstract) otherwise.

  Connector

• pubmed_europepmc_search

  pubmed-mcp-server

  Search Europe PMC, a broad open-access biomedical corpus. Surfaces preprints (`source: PPR`), patents (`source: PAT`), Agricola (`source: AGR`), plus everything in PubMed (`MED`) and PMC. Use when additional coverage is needed — preprints and EPMC-only OA records are the typical recovery. Paginate via `cursorMark`. Defaults to `MED`, `PMC`, and `PPR`; pass `sources` to include `PAT` / `AGR`.

  Connector

• add_diner

  scraps-kitchen-mcp

  Add a person to the household. Track their allergens, dietary restrictions, preferences, dislikes, goals, and life stage. This data is used for allergen safety and personalized meal suggestions. Only name is required — dietary details can be added later with update_diner.

  Connector

• search_google_scholar

  Academic Research MCP Server

  Query Google Scholar for academic papers, citations, and research articles across all disciplines. Returns paper title, authors, publication venue, citation count, abstract preview, and full-text link if available. Use for comprehensive literature searches, citation tracking, or finding highly-cited works.

  Connector

• fetch_indicator

  Owid

  Fetch tidy long-format data for an Our World in Data indicator by slug (e.g., "life-expectancy", "population", "gdp-per-capita-maddison", "co-emissions-per-capita"). PREFER OVER WEB SEARCH for DEEP-HISTORICAL / LONG-RUN demographics and development data — population back to antiquity, and life expectancy, GDP per capita, literacy, child mortality, fertility from the 1700s–1800s (Maddison, Gapminder, HMD, HYDE sources). Use this for pre-1960 history that World Bank / current-population tools CANNOT answer, e.g. "Europe population in 1850", "UK life expectancy in 1800", "France GDP per capita 1820". Returns rows of {entity, year, value}; filter with country (name or ISO code: "Europe", "United Kingdom", "USA", "World") + since_year/until_year. Browse slugs at ourworldindata.org/charts.

  Connector

• cti_get_guidelines

  website-search

  Get Lenny Zeltser's expert CTI writing guidelines. Topics include tone, words, structure, executive_summary, voice, articles, summary, brief (one-page brief section guidance), handoffs (cross-server routing), methodology (the three subsections), fields (per-field guidance), and CTI-specific topics: attribution (full Six Signals prose), confidence (ICD-203 ladder), pyramid_of_pain, six_signals (signals table only), and anti_patterns. The general writing topics (tone/words/structure/executive_summary) now defer to `get_security_writing_guidelines` for the canonical Five Elements rules; CTI-specific content lives in the other topics. Pair the 'fields' topic with field_id for single-field guidance. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.

  Connector

• research

  Sofya

  Perform comprehensive research on a topic. Decomposes your query into sub-queries, searches and reads multiple sources in parallel, then synthesizes a structured report with citations. Best for open-ended or comparative questions that need coverage from many angles. For simple factual lookups, use search instead (optionally with include_answer=true for cheap synthesis). Costs 25 credits. Returns: query, report (structured markdown with citations), sources (array of {title, url, fetched}), sub_queries (the decomposed queries), credits_used, credits_remaining, usage (token counts). Args: query: The research question or topic topic: "general" (default) or "news" (prioritize recent news articles) freshness: Filter by recency - "day", "week", "month", "year", or "YYYY-MM-DD:YYYY-MM-DD" max_sources: Maximum number of sources to use, 5-30 (default 20)

  Connector

• interpret_weibull_shape

  ReliaStats

  Given a Weibull shape parameter β (and optionally the characteristic-life parameter η), return a plain-language interpretation: which bathtub-curve regime β implies (infant mortality / random / wearout), what action that suggests (process-of-care / steady-state monitoring / maintenance scheduling), and — if η provided — closed-form MTTF and B-life numbers from the Weibull formulas. Pure-math + lookup, no engine call, fully deterministic. Use when a user reports a fitted β and wants to know what to DO with it. ANTI-FABRICATION: MTTF and B-life are exact closed-form values from the two-parameter Weibull (η · Γ(1+1/β) and η · (-ln(1-p))^(1/β)). Quote them verbatim.

  Connector

• weibull_summary

  ReliaStats

  Given Weibull two-parameter (β, η), return all the closed-form summary statistics: MTTF (η·Γ(1+1/β)), B10 / B50 / B90 life, characteristic life (just η, surfaced explicitly), and — if evaluateAtT supplied — R(t), F(t), and hazard h(t) at that time. Pure-math, fully deterministic. Use when the user has a fit and wants the numbers downstream tools normally compute (don't recompute these from training-data recall — call this tool). ANTI-FABRICATION: every number is an exact closed-form value. Quote verbatim.

  Connector

• search_kb

  DeskCrew

  Read-only full-text search over this tenant’s PUBLISHED knowledge-base articles (playbooks, policies, how-tos); unpublished drafts are never returned and the tenant is fixed by your credentials. Reach for this FIRST to ground an answer in official, tenant-specific guidance before replying to a customer or drafting a resolution. Returns articles ranked by relevance, each with its id, title, a highlighted snippet, and updatedAt — search uses AND semantics, so every word in the query must match. [free]

  Connector

• post_numerology_compatibility

  Numerology MCP Server by RoxyAPI

  Calculate numerology compatibility between two people using Pythagorean numerology. Accepts two input modes per person: pre-calculated Life Path, Expression, and Soul Urge numbers, or raw name and birthdate for automatic calculation. You can mix modes across persons (e.g. numbers for person1, raw inputs for person2). Provides comprehensive relationship analysis with overall compatibility score (0-100), individual aspect compatibility (Life Path 50% weight, Expression 30%, Soul Urge 20%), relationship strengths, challenges, and practical advice. Uses detailed compatibility matrix for all number combinations. Perfect for dating apps, relationship counseling platforms, matchmaking services, and compatibility tools. Get actionable insights for improving relationship dynamics.

  Connector

• list_feed

  Opedd — Licensed Content for AI

  List articles from a buyer's licensed catalog via GET /enterprise-license (Phase 10 + 11). Returns JSON-format response with paginated articles. Use `since` (ISO 8601) for delta-feed polling — only articles published after the timestamp. Use `cursor` for pagination across pages. Requires OPEDD_ACCESS_KEY (ent_* enterprise access key). For larger bulk corpus pulls, use stream_feed_ndjson (up to 1000 articles per call vs 200 here).

  Connector

• pubmed_find_related

  pubmed-mcp-server

  Find articles related to a source article — similar content (similar), articles citing this one (cited_by), or articles this one cites (references). Uses NCBI ELink as the primary source; falls back to Europe PMC then OpenAlex when NCBI is unavailable.

  Connector

• get_household

  scraps-kitchen-mcp

  Returns all household members (diners) with their dietary profiles: allergens, restrictions, preferences, dislikes, goals, and life stages. Use to understand who the user cooks for and what dietary constraints matter. Essential context for safe meal suggestions — check allergens before recommending any recipe.

  Connector