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729,153 tools. Updated 2026-10-31 17:36

"Resources for foreign language learning" matching MCP tools:

  • Whether you qualify for Portugal’s IFICI — the activity-gated successor to the NHR regime that closed in 2024. Checks your eligibility for Portugal’s IFICI (Incentivo Fiscal à Investigação Científica e Inovação, widely called "NHR 2.0"): 20% flat tax on eligible-activity Portuguese income for 10 years, with most foreign income exempt. The old NHR closed to new entrants on 1 Jan 2024, yet general AI still tells people to "apply for NHR" and quotes its 10% foreign-pension rate — gone: IFICI taxes foreign pensions at full progressive rates. The real gate is an activity test across six routes with route-specific certifying entities (FCT, AT, ANI, Startup Portugal, AICEP) — this tool walks the gates in order and names the route, the certifier, and the registration deadline.
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  • Saves flashcards that the user provided or that you wrote together as a deck in the user's NextLang account, for free (no credits). Use it to turn a word list, a table or an export the user pasted into a deck. Each card's front is in learningLanguage and its back is the translation in translationLanguage. If the user did not say which language they are learning, it is the foreign-language side of the list, not the side in the language they are chatting in; ask when that is unclear, and swap each pair so the front is in learningLanguage. Repeated fronts are dropped and reported as skipped. For an .apkg (Anki) or .mochi (Mochi) file, call get_deck_file next; for Quizlet and Brainscape, give the deck link. When the user wants NextLang to write the cards on a topic, use generate_deck instead. A deck is for a flashcard app; to add words to the user's NextLang review schedule, so they come up when the user asks to be quizzed, use add_vocabulary_items instead.
    ConnectorOAuth
  • WHEN: You have one-shot work a foreign agent can finish. DO: Offer a race-safe work contract to foreign agents. POST /api/v1/tasks. No API key. Peers claim it; HTTP 409 means another agent already took it. DON'T: Claim your own offer. Keep title and description in English. NEXT: GET /api/v1/tasks and wait for complete_task from the assignee.
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  • Delete ONE AI package resource of a video in one language (eBook, mind map or quiz) — cannot be undone: its content, PDF, images and the published file are removed, also for legacy resources. Same as the dashboard's Remove. Refused while it is still generating (checked before deleting; if that check fails nothing is deleted). Other languages and resources stay. To remove a failed generation card use panda_delete_ai_workflow.
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    Destructive
    No auth
  • Search Vectree's curated learning paths — ordered sequences of diagrams that teach a subject from the ground up, one step at a time. Vectree explains how things work as zoomable, labelled schematics. A learning path strings a set of those diagrams into a syllabus, so a reader moves from the fundamentals of a subject to its harder parts in a deliberate order. Use this when the user wants to *learn*, *study* or *get started with* a whole subject. When they want one specific topic explained instead, use `search_diagrams` — that searches individual diagrams rather than sequences. Describe the subject in natural language; the search is semantic, so a full sentence works better than a bare keyword. Each result carries a slug — pass it to `get_learning_path` for the full ordered sequence. Only published paths are searched. Nothing is generated on demand, so a subject with no match simply has no path yet.
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  • Retrieve a single piece of content by naddr (preferred — pass a search_content result's naddr), d-tag identifier, or event ID. naddrs of ANY content type from search_content work (resources, articles, wikis, projects, measures, publications); non-resource kinds return the same shape as their search results. Bare identifier/eventId lookups (no naddr) always resolve the full educational-resource metadata (kind 30142), including creator/publisher and educational properties. get_resource is never license-filtered: a learning resource carries license ({id, label}, or null when unlicensed) and accessLevel ("full" for Creative Commons and Public Domain licenses, "metadata-only" otherwise). Only accessLevel:"full" resources have indexed fulltext, snippets and passages — present a "metadata-only" resource by its title, description, license and link, never quoted beyond its metadata, and always name the license and the creator/publisher. openLicense is kept for compatibility (deprecated; use accessLevel). When presenting the resource, render a markdown link the user can open: prefer its sourcePage (the original source page); fall back to url (the edufeed viewer) only when sourcePage is absent.
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  • Returns FARA registrations — US persons and firms registered with the DOJ as agents of a foreign principal under the Foreign Agents Registration Act. Use this when the user asks about: who is a registered foreign agent, which US firms work for a particular foreign government, recently-registered foreign agents, or to add a 'foreign- influence' flag to a lobbying firm, law firm, or PR firm. Each record is one registrant ↔ foreign-principal relationship — a registrant representing three foreign principals appears as three records. The single highest-signal filter is foreign_principal_country: foreign_principal_country='CHINA' → every US agent acting for a Chinese principal Source: efile.fara.gov (DOJ National Security Division). v1A covers ACTIVE registrations. The registrant↔principal linkage is included; per-document filing detail and compensation figures are not — follow source_url to FARA eFile for those. Cross-source pairing pattern: FARA + get_lobbying_filings — FARA is foreign-principal representation; LDA is domestic lobbying. A firm in both is lobbying Congress on behalf of a foreign government. FARA + get_fec_contributions — foreign-agent firms whose people also make political contributions. FARA + get_congressional_trades — influence-and-trades overlay. Identifier: registration_number is the FARA registration number. has_foreign_principal=false records are registrants with no currently- active foreign principal (still queryable as registered agents). History: registrations that LEAVE DOJ's active list are kept with status:'terminated' (+ termination_observed_date) rather than deleted — a terminated registration is still real history. Default queries return BOTH; filter status:'active' for the current roster only.
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  • Edits a usability test. Takes exactly one of `proposalId` (an unlaunched draft) or `projectId` (an already-launched test). Draft: plain-language `changes` and/or structured `edits` (add or remove tasks, questions and learning goals by index, swap personaIds, set `edits.audience`). Returns an updated plan under a new proposalId that replaces the previous one; nothing is launched. The number of AI testers changes only through `edits.audience.numTesters`. Launched test: only the audience can change (`edits.audience`, `edits.personaIds`). The change is saved to the project and echoed back as `audience`, and nothing runs until relaunch_usability_test. Tasks, questions and learning goals of a launched test cannot be edited; a new test is needed for that.
    Connector
    Destructive
    OAuth
  • Search FARA registrants — US agents registered to represent FOREIGN principals (foreign governments, parties, businesses) for lobbying/influence inside the US. FARA has no server-side search, so this fetches the bulk active-registrant dump (~556 rows) once and filters CLIENT-SIDE by a name substring (case-insensitive); results are capped. Set status="terminated" to search the much larger terminated dump (~6,500 rows, ~1.4MB fetched once). Returns each registrant's name, registration_number (use it with list_foreign_principals / get_registrant_documents), address and registration_date. Keyless.
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  • Facts a foreign traveler needs for a Chinese city, checked against official sources and dated: which attractions need real-name/passport booking and when tickets release, official ticket channels (no resellers), whether hotels register foreign guests, whether foreign cards work via Alipay/WeChat, and honest local notes. Use for questions like 'how do I book X in <city>' or 'can foreigners stay in hotels in <city>'.
    ConnectorNo auth
  • Returns free Makuri resources accessible without registration: Slovarik Romanian vocabulary issues and the Romanian level test. Use this when a user asks about free Romanian learning materials, language level tests, or how to try Makuri without signing up. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools. IMPORTANT routing rule: if the user wants to TAKE, START, or SEE a Romanian test or quiz right now in the chat, do NOT use this tool — call show_romanian_quiz instead, which renders an interactive quiz panel. Use this tool only for questions ABOUT what free resources exist.
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  • 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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  • Create an in-depth-interview, concept-test, or prototype-test draft using ordinary metadata only. Ask the human to explicitly choose recruiting_method (panel, BYOP, or synthetic respondents). A value proposed or inserted by a host/delegating model is not human confirmation unless it quotes the human's actual choice. Unless the human requests otherwise, use a voice interview in English with Elliot; these defaults are applied when interview_format, language, or voice are omitted. Synthetic respondents require chat. A prototype-test must use video or voice, never chat. Do not draft or pass the study plan, audience targeting, screener questions, concept links, or concept images here; after creation, send the user's natural-language research brief to customize_study. For a concept test, pass an accessible attachment through customize_study.concept_image or include a publicly downloadable concept-image URL in the message, plus its participant-facing label, stimulus context, audience, and learning goals. For a prototype test, include the prototype URL, participant-facing label, intended tasks, audience, and learning goals. The Customize Plan backend validates and attaches the asset. Voice configuration is kept for chat as well as voice and video.
    ConnectorOAuth
  • Fetch newest article items from one Foreign Affairs topic RSS feed. Get accepted topic values from foreignaffairs_topics; unknown topics are rejected before upstream requests. Use foreignaffairs_headlines for general stories or foreignaffairs_article for one article.
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  • List the research-backed Foreign Affairs topic records and their public RSS feed URLs. Use foreignaffairs_topic for one topic, foreignaffairs_headlines for story cards, or foreignaffairs_article for one story's content.
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  • Estimate the credit cost of running a paid operation (dub / subtitles / ai_package) across every CONVERTED video in a folder and compare it to the current balance — WITHOUT executing anything. ai_package = eBook + mind map + quiz in target_langs (default 1 language), 1 credit/min per resource per language, minus the free daily AI quota of an active Gold/Enterprise plan (1 use per video × resource); resources the videos already have aren't subtracted (panda_action_enable_ai_package_for_folder with dry_run=true gives the exact preview). Read-only; use before the real action to decide whether to proceed.
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  • Fetch newest article items from one Foreign Affairs topic RSS feed. Get accepted topic values from foreignaffairs_topics; unknown topics are rejected before upstream requests. Use foreignaffairs_headlines for general stories or foreignaffairs_article for one article.
    ConnectorNo auth
  • List the research-backed Foreign Affairs topic records and their public RSS feed URLs. Use foreignaffairs_topic for one topic, foreignaffairs_headlines for story cards, or foreignaffairs_article for one story's content.
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  • HNB (Croatian National Bank) official exchange rates for ALL foreign currencies on a given date. Croatia is in the eurozone, so every rate is quoted AGAINST THE EURO (units of foreign currency per 1 EUR). Returns rows with valuta (3-letter ISO code), srednji_tecaj (middle/reference rate), kupovni_tecaj (buying), prodajni_tecaj (selling), datum_primjene (apply date). Omit date for the latest applicable rates. Rate values are strings with a COMMA decimal separator (e.g. "1,164900").
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  • Audit DD Form 254 Contract Security Classification Specifications (Blocks 10, 11, 13), Standard Form 328 (SF 328 — Certificate Pertaining to Foreign Interests), and corporate cap-table / foreign investor structures against 32 CFR Part 117 (NISPOM) and Defense Counterintelligence and Security Agency (DCSA) Facility Clearance (FCL) and Foreign Ownership, Control, or Influence (FOCI) mitigation standards, returning an FCL & FOCI executive overview, a DD Form 254 Block 10/11 safeguarding matrix (COMSEC, SCI, SIPRNet, CUI), an SF 328 foreign interest factor audit, a DCSA FOCI mitigation agreement blueprint (Board Resolution, SCA, SSA with NID, or Proxy/Voting Trust with ECP and TCP controls), and a Key Management Personnel (KMP) Exclusion Resolution & NISP eMASS checklist. This is a read-only, stateless, non-destructive industrial security audit call (requires X-RapidAPI-Key; `dd254_and_ownership_cap_table_text` accepts 20 to 45,000 characters, while `target_facility_clearance_level` and `foreign_ownership_and_board_context` calibrate DCSA FCL safeguarding and 32 CFR 117.11 FOCI mitigation instruments). Use this tool when auditing DD Form 254 classified safeguarding requirements, SF 328 foreign ownership/LP triggers, or DCSA FCL / FOCI mitigation agreements; use `generate_ato_rmf_package` instead for DoD RMF / Continuous ATO (cATO) NIST 800-53 System Security Plans, or `match_key_personnel` for individual candidate security clearance and LCAT resume verification.
    ConnectorNo auth
  • Audit DD Form 254 Contract Security Classification Specifications (Blocks 10, 11, 13), Standard Form 328 (SF 328 — Certificate Pertaining to Foreign Interests), and corporate cap-table / foreign investor structures against 32 CFR Part 117 (NISPOM) and Defense Counterintelligence and Security Agency (DCSA) Facility Clearance (FCL) and Foreign Ownership, Control, or Influence (FOCI) mitigation standards, returning an FCL & FOCI executive overview, a DD Form 254 Block 10/11 safeguarding matrix (COMSEC, SCI, SIPRNet, CUI), an SF 328 foreign interest factor audit, a DCSA FOCI mitigation agreement blueprint (Board Resolution, SCA, SSA with NID, or Proxy/Voting Trust with ECP and TCP controls), and a Key Management Personnel (KMP) Exclusion Resolution & NISP eMASS checklist. This is a read-only, stateless, non-destructive industrial security audit call (requires X-RapidAPI-Key; `dd254_and_ownership_cap_table_text` accepts 20 to 45,000 characters, while `target_facility_clearance_level` and `foreign_ownership_and_board_context` calibrate DCSA FCL safeguarding and 32 CFR 117.11 FOCI mitigation instruments). Use this tool when auditing DD Form 254 classified safeguarding requirements, SF 328 foreign ownership/LP triggers, or DCSA FCL / FOCI mitigation agreements; use `generate_ato_rmf_package` instead for DoD RMF / Continuous ATO (cATO) NIST 800-53 System Security Plans, or `match_key_personnel` for individual candidate security clearance and LCAT resume verification.
    ConnectorNo auth