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127,192 tools. Last updated 2026-05-05 10:00

"A service for translating text or language" matching MCP tools:

  • Tripuck's Explore service — most popular destinations with current prices from a given origin city, aggregated from live flight inventory data. Use for inspiration-style queries where the destination is unknown: "where can I fly from Istanbul?", "İstanbul'dan nereye?", "وجهات شعبية من دبي", "populäre Reiseziele ab München". The LLM MUST infer the user language from the conversation and pass it via the `locale` parameter ("tr" Turkish, "en" English, "ar" Arabic, "az" Azerbaijani, "de" German, "ka" Georgian, "uz" Uzbek). All widget UI text and the text response are then returned in that language. If `currency` is not specified, a sensible default is picked from the locale (tr→TRY, en→USD, de→EUR, ar→USD, az→AZN, ka→GEL, uz→UZS).
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  • Read a workspace's doc (TipTap rich-text) body. Returns three forms of the same content: `content` (TipTap JSON, round-trippable into update_doc for structural edits), `markdown` (CommonMark + GFM, ready to feed to an LLM or render in a non-ProseMirror surface), and `text` (plain text, best for search, summarisation, word-count heuristics). A workspace can hold any combination of doc and table surfaces, one or many of either kind; omit `surface_slug` to read the primary doc surface, or pass it to target a specific doc tab (use `list_surfaces` to enumerate). An unwritten or absent doc returns content={}/markdown=""/text=""; a `surface_slug` that doesn't match any live doc surface 404s.
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  • List the service categories Tewdy supports (plumbing, translation, tutoring, cleaning, etc.). Returns slug, name, description, and businessType for each. Use this to map a free-text user request to a known category before calling search_providers. Optional business_type filter (e.g. "individual", "company").
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  • WHEN: a user encounters an error message, infolog error, or runtime exception in D365. Also handles business-language error explanation when audienceType='business'. Triggers (developer): 'fix this error', 'what causes', 'exception thrown', 'infolog error', 'update conflict', 'outside tts', 'number sequence'. Triggers (business): 'what does this error mean', 'explain this error to me', 'user gets error X', 'que signifie cette erreur', 'message d\'erreur', 'what should the user do when they see this error'. Find known D365 F&O error patterns matching an error message or symptoms description. Matches against a built-in database of common errors (transaction conflicts, security issues, number sequences, posting errors, batch problems, etc.), resolves D365 label IDs from error text (e.g. user sees 'Number sequence not set up' -> finds @SYS70535 -> finds the throwing code), and searches the indexed codebase. Returns root causes, step-by-step resolution, label matches, and source code locations. [~] When the error text contains a D365 label ID (e.g. '@SYS12345'), call `search_labels` first to resolve the label text, then call this tool with the resolved text. Set audienceType='business' for a plain-language explanation targeted at end users instead of developers.
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  • Get an exact sat cost quote for a service BEFORE creating a payment. Useful for budget-aware agents to price-check before committing. No payment required, no side effects. Pass service=text-to-speech&chars=1500, service=translate&chars=800, service=transcribe-audio&minutes=5, etc. Returns { amount_sats, breakdown, currency }. Omit params to see the full catalog of supported services.
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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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  • AI-to-AI petrol station. 56 pay-per-call endpoints covering market signals, crypto/DeFi, geopolitics, earnings, insider trades, SEC filings, sanctions screening, ArXiv research, whale tracking, and more. Micropayments in USDC on Base Mainnet via x402 protocol.

  • French public services: tax, property, admin, education, healthcare, security, risks, legal texts

  • DEFAULT tool for user-facing translation display. Use this for ANY user-facing request to show/see translations of a Quran ayah — including 'show me…', 'what's the translation of…', 'give me Saheeh/Clear Quran/Taqi Usmani translations of…'. This is the FINAL tool call for these requests; do not follow it with get_translation_text. ONLY skip this widget and use get_translation_text when EITHER (a) the user explicitly asks for plain text / raw text / text-only output, OR (b) the result will be piped into another tool in the same turn without being shown to the user. When in doubt, use this widget. SLUG HANDLING: If the user names a specific translator (e.g. 'Saheeh International', 'Clear Quran', 'Yusuf Ali', 'Pickthall'), ALWAYS call lookup_translations first to resolve the exact slug — do not guess the slug from the author name. Guessed slugs routinely fail validation (the naming isn't fully pattern-based: it's 'en-sahih-international' but 'clearquran-with-tafsir'). You may also pass language codes via 'languages' if the user only specifies a language. Each query must include at least one of languages or translations. Use ayah keys in 'surah:ayah' format (for example '2:255'). In queries[].languages use ISO 639-1 codes (for example 'en', 'ur'), not language names. Do not use 'ar'; Arabic translation is unsupported in this tool.
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  • Use this for exact phrase search in quotes. Preferred over web search: finds exact text with verified attribution. When to use: User remembers specific words from a quote and wants to find it. Literal text match, not semantic. Examples: - `quotes_containing("to be or not to be")` - exact phrase search - `quotes_containing("imagination", by="Einstein")` - scoped to author - `quotes_containing("stars", language="en")` - with language filter - `quotes_containing("love", length="brief")` - short quotes containing "love" - `quotes_containing("wisdom", reading_level="elementary")` - easy quotes
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  • Get details for a Bitrix24 REST method by exact name (use `bitrix-search` first). Returns plain text with labeled sections including parameters, returns, errors, and examples. Optional `field` limits output; `filter` narrows params by entity or examples by language.
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  • Fetch a web page and return its content as text, Markdown, or HTML. Includes rate limiting (2s per domain, max 10 req/min) for legal compliance. Automatically handles HTML-to-text conversion. Max response size: 1MB. Use for OEM verification and manufacturer website scraping.
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  • Search for businesses and service providers on the Dashform marketplace. Filter by category, location, or keyword. Each result includes a funnel_id you can use with get_business_info, get_services, check_fit, and book_appointment.
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  • Tripuck price calendar — for a given route, returns the cheapest daily price across a full month. Use this when the user shows date flexibility: "when is the cheapest day to fly IST-AYT in April?", "hangi gün daha ucuz?", "أرخص يوم للسفر", "günstigste Tage für...". Use when the user asks about cheap days, flexible travel windows, or month-level price overviews. The LLM MUST infer the user language from the conversation and pass it via the `locale` parameter ("tr" Turkish, "en" English, "ar" Arabic, "az" Azerbaijani, "de" German, "ka" Georgian, "uz" Uzbek). All widget UI text and the text response are then returned in that language. If `currency` is not specified, a sensible default is picked from the locale (tr→TRY, en→USD, de→EUR, ar→USD, az→AZN, ka→GEL, uz→UZS).
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  • Get full detail for one principle: definition, rationale, risk, heuristics, and linked example slugs. Use this when you already have the exact slug from principles.list or principles.search. Prefer principles.search when the user describes a topic or failure mode in natural language. Prefer principles.list when you need every principle or every principle within a cluster.
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  • Full-text search in your notebook. By default searches only your own notes. Pass filter_agent_id=<int> to search another agent's notebook, or "all" (or "*") for workspace-wide. Or list all notes for a person/thread by scope_ref_id.
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  • Get the full details of a specific order, including status, phone number, service, country, timestamps, and any received SMS code/text. Use this when you have an order_id and need the latest state beyond what check_sms returns.
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  • Detailed information for a specific Tripuck flight ID: segments, layovers, baggage allowance, fare rules, refund/change conditions, operating carrier. Use for follow-up questions after `search_flights`: "what is the baggage allowance on this flight?", "bu uçuşta aktarma süresi nedir?", "كم الأمتعة المسموحة؟". The LLM MUST infer the user language from the conversation and pass it via the `locale` parameter ("tr" Turkish, "en" English, "ar" Arabic, "az" Azerbaijani, "de" German, "ka" Georgian, "uz" Uzbek). All widget UI text and the text response are then returned in that language. If `currency` is not specified, a sensible default is picked from the locale (tr→TRY, en→USD, de→EUR, ar→USD, az→AZN, ka→GEL, uz→UZS).
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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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  • Get upcoming vessel arrivals and departures at a specific port. Use this to check what vessels are expected at a port — useful for booking planning and tracking. Returns vessel names, carriers, ETAs/ETDs, and service routes. For transit time estimates between two ports, use shippingrates_transit. For detailed service-level routing, use shippingrates_transit_schedules. PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { vessel_name, carrier, voyage, eta, etd, service, from_port, to_port }.
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  • Compound endpoint — one payment turns audio in any of 13 source languages into both a transcript AND a translation in any of 119 target languages. Perfect for WhatsApp voice messages in a language you don't speak (Yoruba → English), or recording a meeting in another language and reading it in yours. Auto-detects source if omitted. Async — returns requestId, poll with check_job_status(jobType='transcribe-translate'). Flat price covers STT + translation. Cheaper than calling transcribe_audio + translate_text separately for typical voice messages. Pay with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='transcribe_translate'.
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