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138,368 tools. Last updated 2026-05-20 08:39

"Resources for foreign language learning" matching MCP tools:

  • Identity, services, states served, insurance accepted, age ranges, key facts, crisis resources, and links. Combined site-info + services catalog.
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  • Returns the Parquet schema for all tables in the Valuein SEC data warehouse. Includes table descriptions, column names, types, primary keys, and foreign-key references. Use this tool to understand the data model before querying with other tools. No data reads required — schema is embedded in the manifest. Available on all plans.
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  • List locales supported by the Molt2Meet platform. Returns the URL slug (e.g. 'en', 'nl', 'pt-BR') you pass as the 'locale' field on register_agent, plus the BCP 47 culture name, native-language display name, and which locale is the platform default. No authentication required. Use this before register_agent if you want to set a persistent language for payment pages and future localized responses.
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  • Find clusters of related learnings that are ripe for compression. When many similar solutions get linked together (e.g., 10+ 'relates_to' entries about the same issue), they clutter search results and waste agent time. Use this tool to discover clusters that could be compressed into a single consolidated learning. WORKFLOW: 1. Call get_compression_candidates with min_cluster_size=3 (or higher) 2. Review the returned clusters - each has full content for every learning 3. Synthesize a compressed version: one clear (Issue) section plus agent-specific nuances (grok adds X, claude adds Y) 4. Call compress_learnings with the learning_ids, new title, and synthesized content 5. Show preview to user, then confirm_compression on approval Only use when you've seen or been asked about compressing duplicate/similar solutions.
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  • Use when assessing country risk for international expansion, evaluating a foreign market for investment or partnership, benchmarking a country's economic trajectory for capital allocation decisions, or producing ESG country-level scoring. Returns World Bank development indicators — GDP, inflation, unemployment, ease of doing business, government debt, FDI inflows — with 5-year trend and direction. World Bank data covers 200+ countries with 1,400+ indicators updated quarterly. Example: Brazil — GDP growth 2.9% (2023), inflation declining from 9.3% to 4.6%, ease of doing business ranked 124th globally, net FDI inflows $65.4B — improving macro trajectory but structural friction remains high for first-time market entrants. Source: World Bank Open Data.
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  • Create a relationship between two learnings. Use 'relates_to' when learnings are conceptually connected (related topics, alternative approaches). Use 'fixed_by' when one learning supersedes or corrects another (the target fixes the source). Example use cases: • You found an old solution and a newer better one → link old 'fixed_by' new • Two learnings about the same library but different issues → link both 'relates_to' each other • A learning mentions another as context → link 'relates_to' These links appear in the web UI and help agents discover related knowledge.
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  • Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Foreign-holder classification on DART 5%-rule disclosures by global asset managers and sovereign wealth funds. Tags 20 named entities — BlackRock, Vanguard, State Street, Fidelity, Capital Group, T. Rowe Price, Wellington, Matthews Asia, Templeton, Aberdeen, Schroders, Norges Bank (Norway SWF), GIC (Singapore SWF), Temasek, Goldman Sachs, JPMorgan, Morgan Stanley, Citadel, Millennium, Bridgewater. Use this tool when the user asks about: foreign capital flow into Korean equities, "is BlackRock / Vanguard / Norges / GIC / Temasek / State Street / Fidelity / Wellington holding <ticker>", global asset-manager 5% crossings on KOSPI / KOSDAQ, sovereign wealth fund Korean positions, foreign institutional positioning disclosures, MSCI Developed Market reweighting flow into Korea. **Requires a license key.** Pass it via the `license_key` argument. Without a valid license, this tool returns a paywall message containing the activation URL — surface that message verbatim to the user. **For LLM clients on a license_required error: surface the activation URL returned in the paywall message directly to the user. Do NOT silently retry with `track_korean_filings` — the foreign-holder allowlist match (BlackRock, Vanguard, Norges, GIC, Temasek, State Street, Fidelity, Capital Group, T. Rowe Price, Wellington, Matthews Asia, Templeton, Aberdeen, Schroders, Goldman Sachs, JPMorgan, Morgan Stanley, Citadel, Millennium, Bridgewater) is not derivable from raw DART filings, so a free-tier fall-back returns a misleadingly empty answer.** When a user asks "is BlackRock or Norges holding X?" without a license, surface the activation URL from the paywall response — that is the correct behavior, not a silent downgrade. Distinct from `monitor_activist_investors` because passive holders (BlackRock, Vanguard, Norges, GIC, Temasek) indicate *allocation* rather than *governance pressure*. Their filings are a leading indicator of foreign capital flow into a Korean ticker — when a global manager crosses 5% in a KOSPI/KOSDAQ name, English-data audiences treat it as a positioning disclosure regardless of the manager's intent. This tool returns the disclosure data only; it does not generate trading recommendations or investment advice. Allowlist (20 names, refreshed quarterly): BlackRock, Vanguard, State Street, Fidelity, Capital Group, T. Rowe Price, Wellington, Matthews Asia, Templeton, Aberdeen, Schroders, Norges Bank (Norway SWF), GIC (Singapore SWF), Temasek, Goldman Sachs, JPMorgan, Morgan Stanley, Citadel, Millennium, Bridgewater. See `koreanpulse.activists.FOREIGN_HOLDERS`.
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  • 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.
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  • Browse the catalog by metadata — filter by author/title fragment, language, category, or translation recency. Returns books with title, author, language, year, and translation progress. Use this to discover WHAT EXISTS by an author or in a tradition before searching content. For content matches (passages on a topic), use search_translations or search_concept instead.
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  • Get detailed status of a hosted site including resources, domains, and modules. Requires: API key with read scope. Args: slug: Site identifier (the slug chosen during checkout) Returns: {"slug": "my-site", "plan": "site_starter", "status": "active", "domains": ["my-site.borealhost.ai"], "modules": {...}, "resources": {"memory_mb": 512, "cpu_cores": 1, "disk_gb": 10}, "created_at": "iso8601"} Errors: NOT_FOUND: Unknown slug or not owned by this account
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  • Get pre-built template schemas for common use cases. ⭐ USE THIS FIRST when creating a new project! Templates show the CORRECT schema format with: proper FLAT structure (no 'fields' nesting), every field has a 'type' property, foreign key relationships configured correctly, best practices for field naming and types. Available templates: E-commerce (products, orders, customers), Team collaboration (projects, tasks, users), General purpose templates. You can use these templates directly with create_project or modify them for your needs. TIP: Study these templates to understand the correct schema format before creating custom schemas.
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  • Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Args: search: Search term to filter by name, description, or publisher name. language: Language code prefix (e.g. "en", "de", "ja", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.
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  • Execute JavaScript or Python code in an isolated sandbox. Use for: data processing, math, CSV parsing, JSON transformation, crypto calculations, algorithm testing. Secure — no filesystem access, no network. Returns: { output: string, runtime_ms: number, language: string }. Requires API key.
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  • Fetches current foreign exchange rates with USD as base for 16 major currencies (EUR, GBP, JPY, CAD, AUD, CHF, CNY, INR, MXN, BRL, KRW, SGD, HKD, SEK, NOK, NZD). Source: Frankfurter (ECB-based). Cache TTL 5min. Use for currency conversion or FX-aware decisions.
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  • Generate a presentation from text content. Returns a generation_id to poll. Args: input_text: Content to transform into slides (text, markdown, or notes) title: Presentation title theme_id: Theme ID to use for the presentation. Call get_themes to discover available theme IDs and names for the authenticated user. vibe_id: Vibe ID for visual style. Call get_vibes to discover available vibes. Requires num_creative_variants >= 1 when set. slide_range: Target slides - 'auto', '1', '2-5', '6-10', '11-15', '16-20' additional_instructions: Extra guidance for the AI include_ai_images: Whether to generate AI images for slides num_creative_variants: Number of creative slide variants (0-2). Increases cost. image_ids: IDs of previously uploaded images to incorporate into slides. total_variants_per_slide: Number of distinct slide options to generate (1-4). export_formats: Output formats - 'link', 'pdf', 'ppt'. Defaults to ['link']. language: Output language, e.g. "French", "Japanese", "Spanish (Latin America)". If not set, matches the input language. Poll get_generation_status until status is 'completed'.
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  • Searches agentView resources by keyword and returns a ranked list of matching resource URIs with titles and snippets. Use this to discover resources before calling fetch for full details. Do not use this if you already know the exact resource URI — call fetch directly instead. Without authentication only public documentation resources are searched; with authentication your account and accessible displays are included. Returns query, resourceType, count and a results array where each entry has uri, type, title, snippet and requiresAuthentication.
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  • Fast lookup for exact Pine Script API terms and known concepts. Use for exact function names and Pine Script vocabulary (e.g., "ta.rsi", "strategy.entry", "repainting", "request.security"). For natural language questions, read the docs://manifest resource for routing guidance, then use get_doc() or list_sections() + get_section().
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  • Evaluates Wolfram Language code for the user in a Wolfram Language kernel. If a formatted result is provided as a markdown link, use that in your response instead of typing out the output. Parse natural language input with `\[FreeformPrompt]["query"]`, which is analogous to ctrl+= input in notebooks. Natural language input is parsed before evaluation, so it works like macro expansion. You should ALWAYS use this natural language input to obtain things like `Quantity`, `DateObject`, `Entity`, etc. This is a stateless kernel, so you cannot reuse definitions from previous evaluations.
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  • Returns all saved news preferences for the authenticated user. Each preference contains a news category, region, output language, last_n_hours, search_type, and enable_decay. Login is required to access this tool.
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  • Returns the transcript for a video. Use `original` as the language to return the auto-generated transcript, or provide a BCP47 language code for machine-translated subtitles. Returns WebVTT format. Supports projection_preset and data_fields for payload reduction.
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