"Resources for Learning a Subject" matching MCP tools:

• list_courses

  Ripostiq

  List every available Ripostiq course (no login needed). Call this FIRST when a user wants to browse or start learning. Each course has a free Module 1 anyone can start immediately via begin_course(course) → teach_section. Returns the `course` id to pass to other tools. For a logged-in learner this also includes courses THEY authored (marked `mine`, with their `visibility`) — offer those alongside the catalog.

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• search_news

  Pollar News

  Searches Pollar's news archive using semantic and keyword matching. Use for any subject-specific query, including a person, organisation, place, or country (for example, interesting news in Poland). Put the subject or place in query. Locale controls response language, not geographic scope. For current headlines with no subject or place, use list_top_news.

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• search_jobs

  Magnificent Jobs

  Search live job postings in the United States (US only — no other countries) by meaning (embedding similarity against the postings). YOU write the expanded query — it is embedded as-is, with no server-side rewriting — so always send `query` in this shape: "<Full job title>. <One sentence of what the role does; 3-5 key skills/tools>." NO ABBREVIATIONS anywhere in the query — spell everything out (ML → machine learning, AI → artificial intelligence, RN → registered nurse, SWE → software engineer, QA → quality assurance, PM → product manager, CDL → commercial driver's license, EMT → emergency medical technician, etc.) and keep the user's qualifiers (seniority, shift, domain). Example: user says 'ML eng jobs' → query 'Machine Learning Engineer. Builds, trains and deploys machine learning models; Python, PyTorch, MLOps, data pipelines.' Optionally add `city` (results within radius_miles of that city, ranked by relevance) and/or `state`. Without a city, ranks across the state or nationwide. Returns job cards with a `url` to show the user; call get_job for details.

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• edit_video

  mcp

  Edit an existing video from a prompt, or transfer motion onto a subject image. Pass the source in video_url and the change in prompt. Defaults to Google Gemini Omni video edit; switch with model ('kling-edit', 'wan-edit', or 'motion-control' for Kling motion transfer with a subject image in image_urls). This is for changing an existing clip — to make a new video from scratch use generate_video, to extend one use extend_video, to upscale use upscale_media. Returns the video URL.

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• get_free_resources

  Makuri Showcase (CogniLedger)

  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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• create_support_ticket

  BorealHost

  Open a support ticket with the BorealHost team. Use this to escalate platform-side problems you cannot fix with the available tools (billing issues, infrastructure faults, API bugs). A human answers every ticket — poll get_support_ticket for updates. Requires: API key with write scope. Args: subject: Short summary (max 200 chars) message: Full description (max 20000 chars) category: Optional (e.g. "technical", "billing") site: Optional site slug the ticket concerns Returns: {"id", "subject", "status", "message": "Ticket created..."}

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• get_exam_answer

  lawmadi-os

  변호사시험 문항 하나를 금답안 전문과 함께 가져옵니다. 선택형: round+subject+no → 공식 지문·선택지 5개·법무부 정답·해설·선택지별 노트·인용 조문/판례. 사례형·기록형: round+subject+format → 서면 종류·목차·답안 본문. 모든 인용은 게시 전 law.go.kr 검증을 통과했습니다. 호출당 1문항 — 이 코퍼스는 대량 추출 대상이 아닙니다. / Fetch ONE bar-exam question with its full gold answer. MCQ (선택형): pass round + subject + no. Essay (사례형) and record-type (기록형): pass round + subject + format. Every citation passed law.go.kr verification before publishing. One item per call — this corpus is proprietary and not available for bulk export.

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• revert_to_version

  AIOProductOS MCP

  Restore an earlier artifact version (F5) to current and return the now-current version: the existing current version is flipped to 'reverted' (kept for the learning signal) and the chosen version becomes current again. A write — not idempotent, since re-running reverts again. version_id is the version you want to RESTORE; get it from list_artifact_versions and never guess it. Optional reason is recorded.

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• openlibrary_get_subject

  openlibrary-mcp-server

  Browse works by subject. Returns matching works with edition counts and cover IDs, plus the total work count for the subject. Case and spacing are normalized before lookup, so "Science Fiction" and "science_fiction" are the same request. Subject tags are user-contributed and the vocabulary varies — when a subject returns no works, try a different word form (singular/plural), a synonym, or a broader term.

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• fdic_compare_peer_health

  FDIC BankFind MCP Server

  Compare CAMELS-style health scores across a group of FDIC-insured institutions. Three usage modes: - Explicit list: provide certs (up to 50) for a specific comparison set - State-wide scan: provide state to compare all active institutions in that state - Asset-based: provide asset_min/asset_max to compare institutions by size Optionally provide cert to highlight a subject institution's position in the ranking. Output: structuredContent includes {model, official_status, report_date, institutions, metrics, peer_context, proxy_summary, proxy, deprecations}. Institutions include proxy scores and name_source. When a subject cert is provided, metrics[] is the preferred subject-vs-peer array for new UI bindings and proxy_summary is a flattened subject proxy. peer_context.subject_percentiles is deprecated, remains for backward compatibility, and is targeted for removal only in a future coordinated major release. Auto-peer selection derives asset bands from report-date financials and broadens the cohort if fewer than 10 peers match. NOTE: Public off-site analytical proxy — not official supervisory ratings.

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• property_report

  UK Property Intelligence

  Full data pull for a UK property in one call. Returns sale history, area comps, EPC rating, rental market listings, current sales market listings, rental yield calculation, and price range from area median. Requires a street address + postcode for subject property identification. Postcode-only (e.g. "NG1 2NS") returns area-level data without a subject property — use property_comps or property_yield for postcode-only queries.

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• avm_value

  realtystack-mcp

  Run RentCast's automated valuation model for a subject property and return a point price estimate, a priceRangeLow/priceRangeHigh band, the resolved subjectProperty, and comparables[] — recent comparable sales each scored with a distance (miles) and correlation (0-1 similarity). Pin the subject with either address or latitude+longitude; when subject attributes are unknown, supply propertyType/bedrooms/bathrooms/squareFootage (or leave lookupSubjectAttributes true to have RentCast fill them). Cached 6h upstream.

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• list_skills

  mcp

  START HERE for any open-ended request. Lists the task playbooks this server supports — systematic learning from bookmarks, organising into themes, cleaning up, X-list intelligence, exporting data out, finding a half-remembered save, digests, and diagnosing sync. Each names when to use it; call get_skill for the exact tool sequence.

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• package_show

  Datos Cl

  Chilean open data catalogue (datos.gob.cl CKAN) — full metadata for a dataset by ID/slug: title, description, resources (download URLs + formats), organization, tags, and license.

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• get_grade_progression

  BC Curriculum

  Show how Big Ideas, Competencies, and Content progress across grade levels for a BC subject. Useful for understanding scaffolding, prerequisites, and learning trajectories. When a query is provided, filters to only matching items at each grade — showing a focused vertical thread rather than a full data dump. Args: - subject (string): Subject slug - grade_from (integer): Starting grade (0=K, 1-12) - grade_to (integer): Ending grade (0=K, 1-12) - focus (string, optional): Which element to trace ('big_ideas', 'competencies', 'content', 'all'). Default 'all'. - query (string, optional): Focus on a specific concept (e.g., 'evidence', 'multiplication'). Only matching items shown at each grade. Returns: Grade-by-grade breakdown of curriculum elements showing progression, optionally filtered to a concept thread.

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• screen_adverse_media

  OpenWarrant — Document Verification Suite

  Screen a person or organisation for ADVERSE MEDIA and SANCTIONS/PEP exposure (KYC/AML). USE THIS WHEN onboarding or due-diligence asks: does this subject appear in negative news (fraud, money laundering, bribery, sanctions, trafficking, enforcement action), or on a sanctions / politically-exposed-person list? Pairs naturally after verify_identity. Identify the subject ONE of two ways: pass `name` (plus any of `dob` as YYYY-MM-DD, `country`, `aliases`, `employer`, `role` — these sharpen matching and cut same-name false positives), OR pass an identity document via `url`/`bytes_b64` (+`filename`) and the subject is read from it. Returns `{subject, sanctions{...}, adverse_media{...}, risk_flag, headline, limitations}`: sanctions candidates are corroboration-gated (a name-only hit is `possible`, NEVER confirmed — one common name matches several different people); media hits are entity-disambiguated and classified, with same-name articles surfaced under `excluded`. This is screening COVERAGE, not a determination — a hit means "review this", not "guilty"; "nothing found" is not a clean record. Stateless — nothing is stored. Costs 3 credit(s) per call.

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• delete_creator_profile

  VHGENGINE

  Erase profile facts and consent history; retain a retraction marker. Admin scope. Already committed customer hook outputs are not silently deleted. No profile data is used for secondary learning or cross-customer retrieval today. One-way replay-key tombstones prevent delayed keyed writes from recreating the profile. Requires the current expected_version and confirm="delete". Errors: unauthorized, forbidden, not_found, conflict, idempotency_conflict, invalid_request, configuration_unavailable, rate_limited.

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• search_activities

  Bundestag De

  Bundestag/Bundesrat parliamentary activities filtered by GND subject descriptor (e.g. "Klimaschutz", "Mindestlohn") + optional ministry/date. Topic matching uses DIP subject descriptors (controlled German vocabulary) — pass a precise German subject term. For full document search use search_drucksachen instead.

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• read_resource

  UK Legal Research

  Read a resource by its URI. For static resources, provide the exact URI. For templated resources, provide the URI with template parameters filled in. Returns the resource content as a string. Binary content is base64-encoded.

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• get_now

  Cameron Rye Portfolio MCP Server

  Return what Cameron is currently working on, learning, building, reading, and up to in life — the live /now page sections.

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