"A study on skin aging and its factors" matching MCP tools:

• clinicaltrials_get_study_results

  clinicaltrialsgov-mcp-server

  Fetch clinical trial results data from ClinicalTrials.gov for completed studies — outcome measures with statistics, adverse events, participant flow, baseline characteristics, and results metadata (limitations & caveats, certain-agreement disclosure restrictions, results point of contact). Only available for studies where hasResults is true. Use clinicaltrials_search_studies first to find studies with results. A results-rich record can exceed 500KB per study in full mode — bound it with summary=true, narrower sections, or the outcomeLimit / adverseEventLimit caps, whose trims are reported per study in filtersApplied.

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• clinicaltrials_search_studies

  clinicaltrialsgov-mcp-server

  Search for clinical trial studies from ClinicalTrials.gov. Supports full-text and field-specific queries, status/phase/geographic filters, pagination, sorting, and field selection. Returns a compact per-study index by default; pass the fields parameter to get specific leaves at full fidelity — full study records are ~70KB each.

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• describe_services

  Venture Insights Concept Diagnostic

  Get Venture Insights' live service catalogue: the FREE Concept Diagnostic (a research-backed viability study of one venture concept, delivered to the founder's inbox) and the paid study tiers with live SAR prices. Call this first when your user asks what Venture Insights offers, what it costs, or whether the free diagnostic is worth requesting.

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• get_composite_site_score

  DC Hub — Data Center & Power Intelligence

  Use when a user wants ONE honest 0-100 site suitability/risk verdict for a lat/lon WITH an explicit per-factor coverage map — which factors are actually measured vs. declared unavailable. Unlike analyze_site (full raw data dump), this scores ONLY over VALIDATED factors and never imputes a missing one: power/grid, fiber, natural-hazard risk (FEMA NRI) and water (live WRI Aqueduct 4.0 baseline water stress) are all live; water is "unavailable" only outside basin coverage (never faked); market/DCPI is v1-unavailable (use rank_markets). Example: get_composite_site_score lat=33.45 lon=-112.07 state=AZ. Returns {composite_score (0-100 over validated factors), verdict (BUILD/CAUTION/AVOID), confidence (complete|conditional), coverage {power_grid|fiber|water|risk_resilience|market_dcpi: validated|unavailable}, coverage_ratio, sub_scores, caveats}. Use analyze_site for full data, compare_sites for 2-4 sites, rank_markets for whole-market ranking.

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• ct_search

  Clinicaltrials

  Search ClinicalTrials.gov for clinical trials — find trials and look up a NAMED trial by keyword, condition, drug/therapy, status (e.g. 'Recruiting'), or phase (e.g. 'Phase 2'). Use for "clinical trials for <disease/drug>", or to locate a specific study like "the FLOW trial", "semaglutide kidney outcomes trial" (use ct_get_study for its full design/results). Returns NCT IDs, titles, status, enrollment, and sponsor info.

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• get_day_rate_benchmark

  Analytics Legends — SAP Analytics Intelligence

  The PUBLIC day-rate aggregate for SAP analytics freelance work: min/max daily rate by country, specialisation and seniority, each row carrying its own currency, source, source date and confidence. This is the free aggregate published at analyticslegends.ai/api/market-rates.json, and it is SMALL — 11 rows on 2026-08-09, every one of them a secondary source (a published market study or a job-board scan), sample_size null on 8 of them. NOTHING IS HELD BACK BEHIND IT: there is no paid counterpart to this aggregate. The community-contribution path exists (public.rate_contributions) but publishes nothing yet — v_community_rate_aggregates and v_rate_index are still empty, because a contributed rate only surfaces once a cell holds enough submissions to be reported without identifying anyone. So whatever percentile a source row happens to carry is served here, free, to everyone. The GB row carries a median, p10 and p90, and its own note says its min/max ARE the 25th and 75th percentiles. What is missing from this answer is missing from THIS aggregate; it is not a paid tier. THIS IS NOT THE ONLY RATE THE PLATFORM PUBLISHES, AND ON THE QUESTIONS THIS MARKET ASKS MOST IT IS THE THINNER ONE. `find_opportunities` returns a `rate_band` on most live radar postings — a panel-inferred P25–P75 band per (seniority × product × region) cell, Eursap n=312 plus the Analytics Legends operator panel, and it is what each posting's public page leads with. It prices exactly the cells this small aggregate cannot — Senior Datasphere DACH, Senior BDC DACH — where `specialisation:"bdc"` here returns nothing. When this tool comes back empty for a country × product, say the AGGREGATE holds no row and go read the radar band — do not report that the platform cannot price it. The two are different instruments: this one is a published market study, that one is an editorial benchmark attached to a live posting. Read `_meta.available_countries` / `available_specialisations` / `available_seniorities` — they are computed from the aggregate on every call — before concluding that a rate is unpublished, and quote each row with its own currency, its confidence and its source date.

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• get_nursing_diagnosis

  CarePlanKit — Nursing Care Plans

  Get care plan material for a specific NANDA-style nursing diagnosis: its definition, related factors (the "related to" clause), defining characteristics (the "as evidenced by" clause), SMART goals, interventions, and the conditions where it is a priority. Use when a nursing student asks about a diagnosis rather than a disease, for example "risk for infection", "acute pain", "impaired gas exchange", "ineffective coping" or "risk for falls", or asks how to write a three-part diagnosis or an AEB statement. Educational reference, not medical advice.

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• clinical-trials-monitor

  Market and Regulatory Data Feeds — Zinin M2M Hub

  Watch conditions, drugs or sponsors for new and updated clinical trials. Get NCT id, status, phase, sponsor and a direct study URL for every match, sorted by most recently updated. Official ClinicalTrials.gov API v2, free, no API key or login. — $0.02/call, x402 (USDC on base).

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• ask_ora

  SoapBox Faith

  Ask ORA, SoapBox's Scripture study aid, a Bible or faith question. Returns a grounded answer that cites public-domain (KJV) passages, plus the citations used. ORA is a STUDY AID — not a pastor, counselor, or therapist; for personal crises or pastoral/medical needs it points to a trusted pastor or professional. Use this for explanatory/study questions ('what does Romans 8 teach about...', 'where does the Bible discuss...'); use get_verse when you just need a verse's text.

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• clinicaltrials_get_study_record

  clinicaltrialsgov-mcp-server

  Fetch a single clinical trial study by NCT ID from ClinicalTrials.gov. Returns the full study record including protocol details, eligibility criteria, outcomes, arms, interventions, contacts, and locations. Optional locationLimit / outcomeLimit / referenceLimit / nearLocation parameters trim locations, outcomes, and references — original totals are preserved in `filtersApplied` only when a cap actually trims the set.

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• get_experiment

  Expression Atlas

  Get metadata for a single EBI Expression Atlas experiment by accession (e.g. "E-MTAB-4045"). Returns accession, description, species, type, assay count, and experimental factors.

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• get_cost_seg_payment_link

  cost-seg-smart

  Generate a Stripe Checkout URL for a human buyer to purchase a Cost Seg Smart cost segregation study. Returns a payment_link_url plus the study cost, property metadata, and a liability disclaimer naming the calling agent. The buyer must review the URL and authorize payment in their browser — this tool does not charge a card directly. Always call get_cost_seg_quote first and confirm the price with the buyer before generating the link. Side effect: creates a real Stripe Checkout Session.

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• search_products

  Apostle — AI Men's Skincare Commerce

  Browse and search the product catalog. Use when the user wants to see what's available, look up specific products, browse by category, compare options, or asks 'show me' / 'what do you have.' Do not use when the user needs personalized recommendations based on skin concerns — use skincare_recommend instead. Returns all matching products with prices, images, and checkout. Unlike skincare_recommend, this does not score or filter — it shows everything that matches so the user can decide.

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• interlinear

  orthotomeo

  Returns a row-aligned reading view for every word in a verse (or one word, if word is given): original text, transliteration, gloss (via lexicon_lookup), grammar, and manuscript attestation stacked per word - the composed display shape for a study reading view, built on parse and lexicon_lookup rather than any new query. This is the most complete per-word view; use parse or attestation when you want only one of those facets.

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• get_course_info

  NTNU Courses (unofficial)

  Everything about an NTNU course except exam logistics: credits, level, campus, language of instruction, prerequisites, mandatory activities, course content / learning outcomes, credit reductions ('studiepoengreduksjon'), which study programs the teaching is planned for, contacts, and any alert notices (e.g. 'no longer taught'). English text by default; pass language 'nb' for Norwegian. Omit year for the current study year. For exam dates, times, aid codes, and rooms use get_exam_info.

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• citations

  Opencitations

  "Who cites paper [DOI]" / "what papers reference [DOI]" / "incoming citations to [paper]" / "what work has cited [study]" — DOIs that CITE the given DOI (reverse-direction from references). Use for impact analysis, follow-on research discovery, "is this paper influential" questions.

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• describe_skin_types

  D Fetcher

  Returns the six Fitzpatrick skin types with sun-reactivity behavior and descriptive ancestry hints. Call this when the user's skin type is unknown so you can pick the closest match before calling calculate.

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• study_plan_preview

  Vocab Voyage

  Use this when the user asks for a study plan, a multi-day prep schedule, or how to prepare for a test by date. Returns a 7-day plan (5 words/day) for a given test family. Renders the interactive Vocab Voyage study-plan widget on supporting hosts; tapping 'Start Day N' launches a flashcard session seeded with that day's words. Do not use for a single quiz session — call generate_quiz instead. Do not use for one-off lookups — call get_definition instead.

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• vozclara_generate_pack

  vozclara

  Use this when the user asks for a summary, key ideas, or study material from a YouTube video. Returns a structured Knowledge Pack: title, short summary, key ideas, and a link to the full pack on vozclara.app. Pass format="obsidian" to get vault-ready Markdown with YAML frontmatter the user can save to their second brain.

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• analyze_stock

  HPSILab Quant Finance

  Aggregate all quant tools into one JSON stock analysis. The tool reuses the existing MCP tools as its data sources, then derives a direction signal, direction score, bullish factors, bearish factors and plain-English summary. If one underlying tool is gated, unavailable or raises an error, the remaining tools still contribute to the final result (status "partial"); if every underlying tool fails, the whole call fails (status "error", isError=True) instead of a misleadingly "successful" empty analysis. Args: symbol: Stock symbol, e.g. "NVDA". refresh: Request fresh IV Radar data instead of using the backend's fresh IV cache. Defaults to False.

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