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746,955 tools. Updated 2026-11-05 11:46

"Radiology resources for improving medical reporting" matching MCP tools:

  • PAID (200 credits PER PROPERTY, max 25 properties/call) — bulk physical climate-risk disclosure input for a real-estate/asset portfolio (SEC climate disclosure rule / EU CSRD physical-risk reporting). Runs assess_property_hazard for each [lon, lat] property and returns honest aggregate counts (properties with FEMA disaster history, properties with active NOAA alerts) alongside each property's own full result — no invented portfolio-level risk score. Use estimate_cost(tool_name= "assess_portfolio_climate_disclosure", units=<property count>) first to quote. Requires Authorization: Bearer <api_key>. Returns JSON: {ok, evaluated, scored_count, failed_count, failed, properties_with_disaster_ history_10y, properties_with_active_weather_alerts, properties, note}.
    ConnectorNo auth
  • Fetch the full content for one id returned by `search`: a rental listing (rental:<uuid>), a plan set (plan:<uuid>) or a published page (page:<route>). Returns {id, title, text, url, metadata}. Always cite the url. Hosts that can call specific tools should prefer get_rental or the resources.
    ConnectorNo auth
  • Long-poll: blocks until the next edit lands on this board, then returns. WHEN TO CALL THIS: if your MCP client does NOT surface `notifications/resources/updated` events from `resources/subscribe` back to the model (most chat clients do not — they receive the SSE event but don't inject it into your context), this tool is how you 'wait for the human' inside a single turn. Typical flow: you draw / write what you were asked to, then instead of ending your turn you call `wait_for_update(board_id)`. When the human adds, moves, or erases something, the call returns and you refresh with `get_preview` / `get_board` and continue the collaboration. Great for turn-based interactions (games like tic-tac-toe, brainstorming where you respond to each sticky the user drops, sketch-and-feedback loops, etc.). If your client DOES deliver resource notifications natively, prefer `resources/subscribe` — it's cheaper and has no timeout ceiling. BEHAVIOUR: resolves ~3 s after the edit burst settles (same debounce as the push notifications — this is intentional so drags and long strokes collapse into one wake-up). Returns `{ updated: true, timedOut: false }` on a real edit, or `{ updated: false, timedOut: true }` if nothing happened within `timeout_ms`. On timeout, just call it again to keep waiting; chaining calls is cheap. `timeout_ms` is clamped to [1000, 55000]; default 25000 (leaves headroom under typical 60 s proxy timeouts).
    ConnectorNo auth
  • Return the persisted markers + AI analysis (Summary, KeyFindings, Recommendations, DetailedExplanation) for a specific medical-test the authenticated patient owns. Use after mediora__get_patient_history surfaces a test id the user wants to discuss. Bearer token must be a Mediora patient-scope JWT. Proxies https://api.mediora.ai/api/medical-tests/{id} with the user's token forwarded as Authorization: Bearer.
    ConnectorNo auth
  • Propose a correction to a listing field (agents/users reporting bad data). `vertical` is the category key (default 'restaurants'); `listing_id` is the id from that category's get_/search_ tools. Correctable restaurant fields: phone, email, website, menu_url, address_full, city, state, region_tag, price_range, cuisine_type, festival_specials. The correction is stored and applied by the Feedback agent — automatically for unclaimed listings, or routed to a human for claimed/featured ones. Identity fields (name, coordinates) are not correctable. Structured field corrections currently apply to restaurants; for other categories use submit_review to flag issues (or the owner portal). Returns {ok, feedback_id|error}.
    ConnectorNo auth
  • Use this when someone wants to choose between Clarity decision mapping for a difficult decision and MindScan single-episode reflection for a response they suspect may recur. Returns a no-charge reflection mode, a clarifying question, or a safety boundary. Do not use for diagnosis, emergencies, or legal, medical, financial, hiring, or insurance decisions.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI assistants to query authoritative medical sources such as FDA, WHO, PubMed, RxNorm, and ClinicalTrials.gov for drug information, health statistics, medical literature, clinical guidelines, and pediatric resources. Runs locally with no API keys or cloud dependencies, adding resilience, caching, and evidence grading to every lookup.
    97 npm
    ISC
  • A
    license
    Not graded
    quality
    F
    maintenance
    Read-only Stripe finance, ops, and risk reporting exposed via MCP, HTTP API, and CLI. Enables querying balances, payments, customers, payouts, reconciliation, and risk alerts without mutating Stripe state.
    MIT

Matching MCP Connectors

  • ReportingOracle — 16 regulatory reporting tools: BaFin, ESMA, FINREP, COREP, ICAAP, ILAAP.

  • Medical codes MCP.

  • Return the safely validated redirect chain. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
    ConnectorNo auth
  • Classify MIME type, charset and bounded content length. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
    ConnectorNo auth
  • List up to 100 image references without downloading images. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
    ConnectorNo auth
  • Discover up to five sitemap links declared by the requested page. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
    ConnectorNo auth
  • Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.
    ConnectorNo auth
  • Return safe network timing, payload and cacheability diagnostics. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
    ConnectorNo auth
  • Uninstall a release and remove the resources it created, including volume data. Use it, not delete_resource, for anything install_template created. Provide the release `name`.
    Connector
    Destructive
    OAuth
  • Cancel one armed price trigger permanently, by its rule id. Disarms a single watch so it will not fire again — the opposite of `set_price_alert`, and unlike `list_alerts` it changes state rather than reporting it. Cancellation is irreversible: re-arming means creating a fresh trigger. Naming somebody else's rule id cancels nothing at all. Args: rule_id.
    Connector
    Destructive
    No auth
  • Answers: after a change was made, did this store's revenue signals actually recover? Compares the window before a stated change against the window since: paid vs pending vs failed order mix, webhook failure counts, and gateway availability. Returns `resolved`, `improving`, `still_failing`, or `unknown` — and `unknown` when too little new data has arrived to tell, which is free. A quiet ten minutes is not a recovery. Free while in beta.
    ConnectorNo auth
  • Answers: after a change was made, did this store's revenue signals actually recover? Compares the window before a stated change against the window since: paid vs pending vs failed order mix, webhook failure counts, and gateway availability. Returns `resolved`, `improving`, `still_failing`, or `unknown` — and `unknown` when too little new data has arrived to tell, which is free. A quiet ten minutes is not a recovery. Free while in beta.
    ConnectorNo auth
  • Time report for the project over the last `periodDays` (default 30, max 365): hours planned versus hours actually logged, the billable split, and the tasks where the two diverge most. Planned counts leaf tasks whose plan overlaps the window; worked counts time entries logged inside it. A null KPI means the other side is missing — it is NOT zero, and reporting it as zero turns "nobody planned this" into "the team overshot by 100%". Use it when someone asks how a period went, before writing any status update. Pair it with `get_project_alerts` for the risk side and `get_task_stats` for the delivery side.
    ConnectorOAuth
  • THE DEFAULT TOOL FOR QUESTION-SHAPED QUERIES ("wie/warum/was hilft bei X?", "how do I…?"): retrieves the best-matching fulltext passages from the corpus and returns them with citations (source resource, page, heading, source URL) — answer the user FROM the passages and cite each source. (For discovery intent — "finde/empfiehl Materialien" — use search_content instead, or afterwards to offer browsable links.) Keep `question` topic-only. Ranking is hybrid keyword+vector, so phrase the question as a topical statement that names the subject and the target group ("Friedenserziehung in der Grundschule: Einstieg in das Thema Frieden mit Kindern"), not as the user's literal sentence ("Wie kann ich …?"). Results are capped at two passages per document; a passage with only a snippet and no text has no fulltext yet — say so instead of guessing. Passages come from learning resources under Creative Commons, Public Domain and free software/documentation licenses, and DINI-AG-KIM license types that resolve to one of these and from articles, wikis, publications and the other content kinds. Other matching learning resources appear in `metadataOnlyMatches` (naddr, title, license, creator/publisher, sourcePage) without text, because their license does not permit quoting — point the user to them by title, license and link, never quote or paraphrase them as content. Cite the license and the creator/publisher with every learning-resource passage. licenseFilter narrows learning resources: "open" = CC0, Public Domain, CC BY, CC BY-SA, their DINI-AG-KIM license-type equivalents, and free software/documentation licenses (GPL, LGPL, AGPL, GFDL, MIT, Apache 2.0, BSD); "cc-any" = all of "open" plus every other Creative Commons license, incl. KIM non-commercial/no-derivatives (normally no metadataOnlyMatches); "any" = also unlicensed and all-rights-reserved resources, as metadataOnlyMatches. Scope is required but simple: with no source restriction from the user, pass the content kinds (e.g. kinds:[30142] for educational resources, [30040,30041] for publications, [30023] for articles). Route source restrictions ("nur Content von X") into the scope parameters: a metadata publisher (most organisations — resolve_publisher finds the exact spelling) goes into `search` as a QUOTED field filter, e.g. search:'publisher.name:"LEHRE LADEN"' (unquoted multi-word names match nothing); a Nostr signing account (resolve_author → pubkey) goes into `authors`. A published grimoire spell (kind 777, nevent or event id) can replace inline scope entirely; the response carries the canonical spell for whatever scope was used — publish it (e.g. via grimoire) to make the scope reusable. Spells may use $me/$contacts; they resolve to the calling user (pass `me` if the transport is anonymous). Fails rather than widening scope: an empty scope, unreachable relay (relay_unreachable — tell the user to retry), or unreachable index is a typed error, never a silently unscoped search.
    ConnectorNo auth
  • The latest written summary of the Zensei Index, with the score and regime it was written for. A summary is rewritten only when the indicators change. Check `stale` and `ageDays` before quoting it as today's view, and prefer zensei_index_today for the current number. The Zensei Index is a RISK score from 0 to 100: LOWER IS HEALTHIER. 0-20 Supportive, 20-40 Vulnerable, 40-70 Stressed, 70-100 Restrictive. A rising score means conditions are deteriorating, not improving.
    ConnectorNo auth
  • Get hourly grid carbon intensity (kg CO2e per kWh) for any US ZIP code, derived from EIA-930 hourly fuel-mix data. Data lags up to about a day (not real-time). Returns time series with per-hour fuel mix, total generation, and carbon intensity. For timing and analysis (demand response, load shifting, grid patterns), not inventory reporting: it uses fixed per-fuel combustion factors on in-BA generation (no imports), so its values don't match eGRID's annual factors. For live or forecast intensity, WattTime or Electricity Maps are better options.
    ConnectorNo auth