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476,009 tools. Updated 2026-08-25 04:56

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

  • List the layers of a Baltimore ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "311_Customer_Service_Requests_current/FeatureServer"). Omit `service` to list the known Baltimore services. Returns layer id + name to use with baltimore_query.
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  • Resolve a place name, US state, or free-text query to National Park Service parks — the required first step before the detail tools. Returns each park's parkCode (the key nps_get_park, nps_get_alerts, nps_find_campgrounds, nps_get_activities, and nps_find_events all use) plus a compact trip-planning summary (designation, states, description, coordinates, headline activities, entrance fee, NPS page). Coverage is US NPS sites only — national parks, monuments, historic sites, seashores — not state parks and not Forest Service or BLM land.
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  • 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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  • Fetch a public HTTPS URL and return its content translated into a target language. Lean mode — no bundle stored. Use when you need to understand web content in a different language. For extracting raw untranslated text, use url.extract instead. Returns: { url, translated_text, target_lang, truncated } Example prompts: - "Translate https://example.de/artikel into English for me." - "Translate this German article into Spanish: [URL]." - "Fetch [URL] and give me the French translation."
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  • Return the exact industry, function, AI-tier and readiness values every AI BVF calculation accepts. CALL THIS when the caller needs the complete allowed list or when a free-text value is not obvious. It returns taxonomy only, no score, verdict or language mapping. Use map_to_taxonomy when the user has said customer service, banking, RPA or bureaucratic and you need the one canonical value; use this tool when they need the whole menu of values to choose from. Takes no parameters. Pure deterministic lookup — no network, auth, or side effects.
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  • Produce a focused pull-request review checklist for a language or stack. FREE. Covers the things that actually break in production, with extra items per language. Typical input {"language": "python"} returns {"language": "python", "checklist": ["...", ...], "note": "..."}. Use before a review, to decide what to look for. Not for reviewing actual code - pass code to review_diff or security_deep_dive. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.
    53
    MIT

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  • Exact character/word counting, reversal, palindrome checks, indexing, sorting; Unicode-safe.

  • Still losing time to small decisions? Spin or Flip brings randomization into Claude so you can offload mental load to chance instantly.

  • Returns a plain-text summary of a priced offer (service, amount, currency, cancellation policy, and how long the price is valid) plus a URL on our domain that shows the same summary. The URL is for the CUSTOMER to open themselves in their own browser — do not open, fetch, or follow it yourself. Use this once get_quote or a booking flow has produced an offer_id and the user is ready to review or continue with a priced offer.
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  • Use this to find Johnson Bros. Plumbing pages about services, service area, pricing policy, or common questions. Returns ids, titles and URLs only -- call fetch with an id to read the full text. Do not use it to check live appointment availability (use get_availability) or to look up a customer.
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  • List the layers of a Washington, DC ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "FEEDS/MPD/MapServer"). Omit `service` to list the known DC services. Returns layer id + name to use with dc_query.
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  • Map everyday business language to the canonical AI BVF values required by the scoring tools. CALL THIS when the user says customer service, procurement, banking, GenAI copilot or bureaucratic and the matching enum is not certain. Pass only the fields written in free text; each returns the canonical value, what it matched on, or null with suggestions. A null result requires the user to choose from the suggestions, because a plausible guess would change the score. Use list_taxonomy when the user needs every permitted value, then pass the mapped values into score_initiative, diagnose_process, get_benchmark or the portfolio tools. Pure deterministic lookup, no network, auth, or side effects.
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  • TRANSLATION — POST {text, target} and get the translation plus the detected source language. Any language pair; target as a name or ISO code ('spanish', 'de', 'ja'). Up to 8,000 chars per call; line breaks and markdown preserved; code, URLs, and proper names left alone. Optional {source} to pin the source language, {formality}: formal|informal. Fast cheap LLM under the hood; the x402 payment IS the auth. ($0.01 per call, paid via x402)
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  • Render a click-driving YOUTUBE / Shorts / Instagram THUMBNAIL or video cover — the full production pipeline (concept framework → casting → scene → render → surgical tweaks → text), not a bare image prompt. Use this for any "thumbnail", "video cover", "video preview" or MrBeast-style packaging ask INSTEAD of generate_image. About 9 credits per variant; the headline overlay is free. CONCEPT — every thumbnail must open an INFORMATION GAP (the image raises a question the title answers) while staying truthful to the video. Brainstorm ≥5 concepts across the 16 frameworks before you pick, and feel free to combine two. Frameworks (pass as `framework`): before_after · social_ui · three_step · screenshot · posed_portrait (the default) · posed_action · specific_day · graphical · landscape · map_aerial · product · adding_text · repetition · size_difference · news_clip · amplified_reality. Call hermoso_capabilities for each one's full 'realize it with' note plus the emotion, overlay-style, font and rim-colour catalogs. THREE GATES, all BEFORE you render: 1. WHO IS IN FRAME — never assume and never silently substitute a stranger. If the framework puts a person in frame and no face photo is attached, the tool refuses (nothing rendered, nothing charged) and tells you to ask the user once: themselves (send a face photo → the identity gets locked), a generated person (`castGenericPerson:true`), or a people-free framework. 2. TEXT — the default is a CLEAN render with the headline TYPESET OVER THE TOP afterwards (free, always legible, correctly spelled). Just pass `headline`. Only set `bakeText:true` if the user explicitly asks for the words painted INTO the image — verified live, that renders the asked-for words correctly but leaks garbled invented text across the rest of the frame. Never infer text intent from the topic or the framework. 3. HOW MANY — ask once whether they want one thumbnail or a SET (offer 4: the same concept at different emotions and/or camera takes). Default is 1; `variants` caps at 16. IDENTITY LOCK is automatic for every attached face photo. `emotion` is the single biggest CTR lever on a face: shock · hype · fear · confusion · determination · smug · charisma · disgust · awe · rage · laugh (or your own phrase). Finished thumbnail needs a fix? Re-call with `tweak` + `sourceImage` for a surgical, pixel-faithful edit (emotion / background / background_color / rim_light) instead of re-rendering — tweaks chain. ALWAYS check the returned postRenderCheck against the image before you present it. PROMPT LANGUAGE — write every DESCRIPTIVE field in ENGLISH (`sceneBrief`, `keyElements`, `location`, `composition`, `background`, `topic`, each person's `describe`, and every `reference` field), translating the user's wording where needed: the image models are trained on English and a non-English scene description renders noticeably worse. Text that gets BAKED OR TYPESET stays verbatim in the user's own language — `headline`, `headlineLines` and `bakedUiText` are never translated.
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  • Creates a synchronous v0 geometry export from exact loc_ids or one strict scope as real GeoJSON, gzipped GeoJSON, or zipped GeoJSON. Hosted service default: 250 selected loc_ids, sized around a 10-20 second response budget and configurable by deployment. A direct local-runtime loopback caller has no service item cap. Use estimate_geometry_package or get_tool_help for the effective access lane.
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  • Enumerate the live DPYC service network with self-described summaries. Reads the member roster from the dpyc-community registry, then (when ``probe=True``) performs a lightweight MCP handshake against each member's public service endpoint to fetch that service's *own* self-description and tool inventory. Nothing about the services is hardcoded here — descriptions are authored by each service, and prices come from each Operator/Authority pricing model (call the service's ``check_price``). Resilient by design: per-service timeout, partial results, brief caching, and a registry-only fallback when an endpoint is asleep or unreachable. A sleeping service never breaks the listing. Free, unauthenticated. Args: probe: Handshake each endpoint for a live self-description. Set False for a fast registry-only listing (no network fan-out). kind: Role filter — "all", "operator", "authority", or "advocate".
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  • The guide's bilingual community directory: free and low-cost services for people who LIVE and WORK on the East End. Immigration legal advocacy, sliding-scale and no-status-asked clinics, food pantries, the winter shelter, tenant-rights and wage-theft hotlines, ESL / GED / citizenship classes, childcare and youth programs, money transfer, Spanish-language Mass times, the Latino markets, and the Sunday soccer. Call this for any I-need-help question — unpaid wages, eviction, a doctor without insurance, English classes, food, a lawyer for an immigration case — and for anything asked in Spanish. Answering from memory here means naming a national hotline or a legal aid society that does not serve this county, and the asker loses a day's work finding that out. Every record carries `phone`, `source`, `sourceUrl` and `lastVerified`, and the guide's own text in BOTH languages (`description.es` / `description.en`): quote the Spanish as written rather than translating the English. Two things are computed rather than stored: `nextSpanishMass` / `nextEnglishMass`, the next service from right now on the East End's clock (America/New_York) — 'today at 7:00 PM' means today here — and `inSeasonNow` on the soccer leagues for this month. `offEastEnd: true` marks a real referral to Bay Shore, Hempstead or Central Islip: still the right answer sometimes, but say the drive out loud. NEVER volunteer that a service is free, confidential, or safe regarding immigration status unless the record's own words say so — quote those verbatim where they appear and attribute them, and otherwise give the phone number. Never name a provider that is not in the results. Pass `query` in the asker's own words, in either language; `need` is a shortcut vocabulary; `town` takes the asker's own place words. With no argument nothing is looked up — you get the needs and towns covered, so ask. Returns up to 8.
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  • List events (schedules and live scores), paginated by id (after_id). Filter by sport, league, status, date range, season, or team_id (resolve teams via list_teams / get_team). Returns event id, name, sport/league, start time, status, and venue for each; pass include_scores to also inline participants + scores (intended for small result sets — use get_event for one event's full detail, or query_events for free-text/natural-language filters instead of structured params).
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  • Search for works in the Digital Collections using field-based and/or natural language queries. If both a natural language query and specific field values are provided, the natural language query will take priority, using the specified field values as additional constraints. The result will also include a list of aggregations that show how many results match different values for certain fields. For example, you could see how many results match each collection, work type, or visibility and use that information to refine your search. Perform an empty search to retrieve all works and their aggregations. NOTE: Structured field values enclosed in double quotes will be treated as exact, case-sensitive matches, while unquoted values will be treated as full-text searches.
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  • List every service category Muovi supports in Argentina — home trades (electricidad, plomería, gas, pintura, carpintería, cerrajería, albañilería, herrería, techista), limpieza, jardinería, aire acondicionado, and moving/hauling: mudanzas (movers) and fletes (light freight/hauling). Every listed professional is identity-verified and reviewed, with on-platform payment and dispute resolution. Each entry has a stable `slug` (used as the `service` parameter on `muovi_search_professionals` and `muovi_create_task_link`), a human-readable `name`, an optional description, and a `requires_matricula` flag indicating whether listed professionals must hold a verified professional license. Call this first when you need to map a user's natural-language request to a Muovi service slug.
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  • Search the agentage MCP directory - a public catalog of Model Context Protocol servers crawled from the official registry - for servers matching a keyword, optionally narrowed by type, category, language, or license. Use this FIRST whenever the user wants to discover, find, compare, or pick an MCP server ("is there an MCP for X", "which MCP servers do Y"). Results are ranked by text relevance to the query first, then by popularity, so the best match is on top. Returns a page of lean cards (slug, title, description, category, transport, match_score - text relevance the ranking is based on, details_url). To read one server's full packages, tools, and install command, call mcp_get with the slug from a result; open a card's details_url for the human detail page. Valid category, language, and license values come from the mcp_categories tool, not from guesswork - call it before filtering and pass its labels verbatim, or the call is rejected. Read-only - never installs or runs anything.
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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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