"Traditional Welsh Dish Cawl" matching MCP tools:

• vibe_searchA

  Gachi-RamenA

  Semantic / vibe search over the same nationwide ramen DB — describe what you feel like eating in natural language, English or Japanese ("rich creamy pork broth", "あっさり淡麗な醤油", "oily mazesoba", "tsukemen near Ebisu station"), and get the closest shops by meaning, each with a similarity score. Powered by multilingual embeddings (bge-m3), so English queries find shops with Japanese-only names. Role split: use search_ramen for exact facts (shop name lookup, keito/prefecture/status filters, geo radius) — use vibe_search for descriptive/fuzzy queries where no exact filter fits. Style rankings reflect only classified shops (~25%); unclassified shops still match by name and place. Tip: concrete food words (style, broth, richness, place, hours) match far better than abstract mood words ("stylish", "hardcore") — translate moods into concrete attributes before querying. Prefecture intent in the query text (北海道, 博多の…) is auto-applied as a filter (pref_source: inferred); region-style names (札幌ラーメン, 喜多方, 佐野…) stay pure style words and never restrict location. Dish-concept words (オロチョン, カラシビ, 台湾ラーメン/まぜそば, 勝浦タンタンメン) are expanded into their constituent style vocabulary before embedding (transparent via concept_expansion in the echoed query) — expansion never adds filters, so shops serving the dish always stay eligible; spicy-implying concepts additionally give spice-verified shops a small rank boost (concept_boost — a soft rerank, still no filter). Richness/hours inferred from the query text likewise act as a soft rank boost (attr_boost; attr_matched is informational) — only explicit richness/hours params and spiciness intent filter strictly.

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• asterwise_get_tarot_celtic_crossA

  AsterwiseA

  Ten-card Celtic Cross spread — traditional ten-position tarot layout. Draws 10 unique cards using cryptographic randomness and assigns each to one of the 10 classical Celtic Cross positions. WORKFLOW: BEFORE: None — standalone reading, or follow asterwise_get_tarot_three_card_spread when a more detailed examination of the same question is needed. AFTER: None. INPUT CONTRACT: allow_reversed (bool, default false) — Each card independently has 50% reversal chance. question (optional string, max 500 chars) — The question or situation being examined. Example: 'Should I accept the job offer in London?' DO NOT CONFUSE WITH: asterwise_get_tarot_three_card_spread — 3 positions only; use for simpler questions. asterwise_draw_tarot_cards — free draw with no positional meaning. asterwise_get_tarot_yes_no — binary answer, not positional analysis. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-tarot-celtic-cross/

  ConnectorOAuth

• migrate_to_propelauth_frontendA

  PropelAuth Integration MCP ServerA

  Returns instructions for migrating to PropelAuth in a frontend framework such as React, JavaScript, TypeScript, or when using Next.js for just the frontend (e.g. client-side rendered). Guidance includes migrating from several auth providers, such as Clerk or Auth0. Each guidance will include documentation from the auth provider and PropelAuth. It is important to follow the instructions carefully to ensure a successful integration. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc. CRITICAL: If the current implementation uses a traditional OAuth/OIDC flow (e.g., via express-openid-connect, passport-auth0, or similar backend-managed session libraries), you MUST select 'OAuth' as the framework, regardless of the frontend library (React/Vue/etc.). Only select 'React' or 'Javascript' if the current implementation uses a frontend-only SDK (like @auth0/auth0-react) or if using fullstack Next.js.

  ConnectorNo auth

• get_numerologyA

  Kundlit Vedic AstrologyA

  Returns a Vedic numerology reading from a date of birth alone: the mulank (root / psychic number, from the day of the month) and the bhagyank (destiny / life-path number, from the whole date), each with its ruling planet and traditional meaning, plus the classical lucky attributions -- numbers, colours, weekday, direction, gemstone. Optionally adds the Chaldean naam-ank when a name is supplied. Use this when the user asks about their number, life path or lucky colour/day/stone. It is NOT astrology and shares nothing with the chart tools: for a birth chart use get_janam_kundali, for a birth star use get_birth_details. Read-only deterministic arithmetic over the classical Chaldean number table -- no ephemeris is touched, and the result's Source line says so. No writes, no auth, at least 30 requests/min/IP per server instance. Birth time and place are not used, so none is asked for.

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• get_mobile_numerologyA

  Kundlit Vedic AstrologyA

  Returns a numerological reading of a mobile or landline number: the extracted digit string, the digit total, the single 1-9 number it reduces to, the overall vibe that reduced number carries, and the traditional meaning of each distinct digit present. Use this for 'is my phone number lucky' style questions, or when choosing between candidate numbers. It reads a number string only -- nothing about the person -- so for anything tied to a birth date use get_numerology. Read-only deterministic arithmetic over a fixed number table -- no ephemeris, no network lookup of the number, no writes, no auth, at least 30 requests/min/IP per server instance.

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• asterwise_get_tarot_celtic_crossA

  AsterwiseA

  Ten-card Celtic Cross spread — traditional ten-position tarot layout. Draws 10 unique cards using cryptographic randomness and assigns each to one of the 10 classical Celtic Cross positions. WORKFLOW: BEFORE: None — standalone reading, or follow asterwise_get_tarot_three_card_spread when a more detailed examination of the same question is needed. AFTER: None. INPUT CONTRACT: allow_reversed (bool, default false) — Each card independently has 50% reversal chance. question (optional string, max 500 chars) — The question or situation being examined. Example: 'Should I accept the job offer in London?' DO NOT CONFUSE WITH: asterwise_get_tarot_three_card_spread — 3 positions only; use for simpler questions. asterwise_draw_tarot_cards — free draw with no positional meaning. asterwise_get_tarot_yes_no — binary answer, not positional analysis. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-tarot-celtic-cross/

  ConnectorOAuth

• find_chinese_zodiacA

  CalcgridB

  Use this when you need someone's Chinese zodiac sign and element from a Gregorian birth date, especially for January–February births where the boundary matters, or the sign's traditional compatibility groups. Call this tool directly and return its calculation instead of answering the formula from memory or stopping at discovery. Do not use this when you need a full Bazi chart with month, day and hour pillars (use bazi-four-pillars), or the Western star sign (use zodiac). What it computes: Finds the Chinese zodiac animal (生肖 shengxiao), sexagenary year (干支 ganzhi), stem element, yin/yang, nayin (纳音) and fixed element for a birth date, using either the Chinese New Year boundary or the 立春 (Lichun) boundary, plus the traditional relationship groups (六合, 三合, 六冲, 六害, 相刑) and 本命年 years. Inputs: birth_date (date); boundary (enum, optional); reference_year (integer, optional). Complete JSON argument examples: {"birth_date":"1990-02-10","boundary":"lunar_new_year","reference_year":2026} | {"birth_date":"1990-02-03","boundary":"lichun"} Outputs: zodiac, zodiac_cn, year_ganzhi, year_ganzhi_pinyin, year_english, stem_element, yin_yang, nayin, animal_fixed_element, year_used, chinese_new_year_date, lichun_datetime, boundary_note, benmingnian_years, secret_friend, trine_partners, clash, harm, punishment, age_in_reference_year [years], is_benmingnian_in_reference_year, reference_year_zodiac. Formula: year_used = Gregorian year, minus 1 when birth_date is before Chinese New Year (or before 立春 with boundary = lichun); ganzhi index = (year_used − 4) mod 60; animal = branch = index mod 12; 六合 partner = (13 − b) mod 12; 三合 = b ± 4; 六冲 = b + 6; 六害 partner = (7 − b) mod 12 Direct REST fallback: POST https://tttkmbb.com/api/v1/calculate/chinese-zodiac with the same JSON input fields. Do not guess another /api/* path. Docs: https://tttkmbb.com/lunar/chinese-zodiac.md

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• infer_readinessA

  aibvf-mcpA

  Measure organisational readiness from process data, so the investment case does not depend on an untested maturity claim. CALL THIS before score_initiative, score_portfolio or calculate_pace_layer_drag when the user can provide at least two of five signals: hand-offs, rework, touch ratio, automation level and cycle time. function selects the comparison medians for hand-offs and cycle time; more signals increase confidence and disagreement between them reduces it. claimed_readiness is optional, but pass it when the organisation has declared itself agile, traditional or siloed, because the returned gap exposes where its self-image runs ahead of the process data. Fewer than two signals produces a refusal, not a guess. Pass the measured readiness into the downstream tool, then use diagnose_process when the next question is what to change in that process. Deterministic calculation with no authentication. Anonymous usage telemetry may be sent; set AIBVF_TELEMETRY_DISABLE=1 to opt out.

  ConnectorNo auth

• search_recipesA

  Recipes DailyA

  Find something to cook, from the recipes published at recipes-daily.com. Call this for any question about what to make — a dish by name, a cuisine, a weeknight time budget, a week of dinners — rather than answering from memory, because each result is a real page with quantities, timings and a photograph behind it. For what to cook from ingredients someone already has, call find_recipes_by_ingredients instead: this tool requires every query word to appear in one recipe, so several ingredient names in one search return nothing rather than a coverage report. Returns a shortlist — title, absolute URL, description, total time, servings and categories — so candidates can be ruled out without opening them. The first page also lists matching cooking guides, for how and why questions about technique, storage and substitutions; read one in full with read_guide.

  ConnectorNo auth

• Grab_search_restaurantsA

  GrabFood MCP (via SEA MCP)A

  Search GrabFood restaurants. Filters are ANDed. Defaults to most rating votes (a rough popularity signal), or nearest first when near is set. How to target a place: - city: Grab's service region, exact name (case-insensitive). Regions are coarse: "Jakarta" is all of Jabodetabek (incl. Bogor, Depok, Tangerang, Bekasi), "Bali" is the whole island. Call Grab_list_areas for the list. - area: substring of the full address, which holds street, kelurahan, kecamatan, kota and postcode, e.g. "Kemang", "Kebayoran Baru", "Denpasar", "Sleman". Also matches Grab's delivery zone label. Use this for neighbourhoods. It is a plain substring: "Kemang" also matches "Kemanggisan", so add a street or pair it with postcode or city. - postcode: prefix, e.g. "121" for South Jakarta 121xx. - near: lat/lng radius. Only Singapore and ~8% of Indonesian restaurants have coordinates; the rest never match. cuisine matches Grab's cuisine labels by substring ("chicken" → Fried Chicken, Chicken Satay, …); matchedCuisines lists them. sellsItem finds restaurants with a menu item whose name contains the text (slower, ~1s); combined with alcohol true, that same item must match. rating is 0–5; restaurants without ratings sort last. Dietary flags come from Grab and are weak: isVegetarian is set on about half of all items, drinks included, so almost every restaurant "has a vegetarian item"; isAlcohol is set on only ~57k of 34M items, so also search item names ("bir", "beer", "wine", "arak"). Menu stats filters use figures precomputed per restaurant: minItems (menu size), medianPriceMin/Max (typical dish price in the local currency, so set country), ratios 0–1 as shares of the restaurant's items (minVegetarianRatio 0.5 = at least half its items are tagged vegetarian), minWeeklyOpenHours (168 = 24/7), joinedAfter/joinedBefore (oldest menu item, roughly when it joined Grab) and menuUpdatedAfter (newest menu item). Coverage: ~1M restaurants: Indonesia 711k (164 Grab cities), Malaysia 119k, Vietnam 92k, Philippines 53k, Cambodia 15k, Singapore 4.5k, Myanmar 3k. Menus were fetched between Jun and Sep 2026 (fetchedAt per restaurant). Returns { data, total, page, limit }. Each row includes a Grab url, openingHours ({ mon: "10:00-14:00, 17:00-22:00", … } in local time, closed days left out), and distanceKm when near is set.

  ConnectorOAuth

• recommend_foodA

  Jewish Ground-Truth Intelligence (J-GTI) API by TATEHA

  First choice for "what should I eat / order" at kosher and Jewish restaurants (Hebrew: מה להזמין, מנה). Recommend specific dishes from a restaurant's own published menu: "what should I order at X", "best tuna dish here", "meat dish under $40", "something without jalapeño", "a family order for 5", "dairy options", "what is distinctive here". Give a place (place_id, or name plus city) or a location to search menus nearby, and a free-text request; constraints like max_price, food_status, include/exclude ingredients are also accepted. Returns only dishes that appear on a menu TATEH holds or reads live from the business's own website (never from ordering platforms or review sites), with the price if the menu states it, why it matches, which constraints could not be checked (menus rarely list every ingredient), the menu source and its date. Never invents a dish or a price. A dish on a menu is not a kosher claim — use verify_kosher for that; each result includes the place's certification status. If no menu is on file it says so.

  ConnectorNo auth

• item_photoA

  LayoutA

  Show what ONE menu item at a restaurant looks like, using the photo the restaurant itself published (screened, and never a stock or AI image). Use it — not `order`, not `menu` — whenever the user asks to SEE an item: 'show me', 'what does it look like', 'can I see a picture', 'what does the iced latte look like at Blue Bottle?', or yes after you OFFERED a look. Asking to see an item is not asking to order it: do not offer to order in the same breath. Do NOT call it unprompted for every item you mention: offer once ('Want to see it?') and call only on a yes. One item per call. Display only: it says nothing about price or availability today; use `menu` for those. `item` must be a dish the USER named. If they named only a restaurant ('show me a panda', 'what about Chipotle'), do NOT pick a dish for them: ask which one. A restaurant name alone ('a panda') is a restaurant, not an item.

  ConnectorOAuth

• historical_price_seriesA

  gapup-mcpC

  Fetch historical OHLCV price series for any ticker: stocks (AAPL, SAP.DE, 7203.T), ETFs, indices, commodities (GC=F for gold) or cryptocurrencies (BTC-USD). Returns a full date-indexed series of open/high/low/close/volume plus pre-computed statistics: total return, annualised return (CAGR), annualised volatility, max drawdown and Sharpe estimate (rf=4%). Automatically detects crypto tickers (→ CoinGecko) vs traditional assets (→ Yahoo Finance primary, Stooq fallback). Adjusts for dividends and splits when adjusted=true (default). Use cases: backtesting, factor analysis, performance attribution, charting, financial modelling. Sources: Yahoo Finance, CoinGecko, Stooq. All keyless. Optional env: AICI_RESEARCH_PROXY_URL for Bright Data routing (lifts Yahoo 429), TWELVE_DATA_API_KEY for higher Twelve Data quota.

  ConnectorNo auth

• get_masterA

  Guardian EngineA

  Return the canonical master recipe for a dish (read-only, no LLM). Enables compare-then-verify agentic loops: fetch the master, diff it against the user's recipe, then call verify_recipe — instead of verifying blind. Pure knowledge-base lookup, no LLM in the hot path. Master content is transparent by default (ADR-009 / ADR-010): exact temperatures, timings, and EU FIC 1169/2011 allergen codes are returned verbatim, never obfuscated. No score is included (ADR-013) — this is reference data, not a verdict. Returns ingredients, steps (technique/temperature/timing/medium), and the EU FIC allergens derived from the required ingredients. Unknown dishes return a structured UNKNOWN_DISH error.

  ConnectorNo auth

• search_dishesA

  Vila BuarqueA

  Find which restaurants serve a dish in this neighborhood. Searches every menu item across all restaurants on the site, grouped by dish — e.g. query "feijoada" returns each restaurant serving it with price, description, dietary labels, and the place URL. Omit the query to list the most-served dishes. Use this for any "where can I eat X" question.

  ConnectorNo auth

• fda_search_510kA

  FDA Data MCPA

  Search FDA 510(k) clearances across all companies. Filter by company name (fuzzy match), product code, decision code (e.g., SESE=substantially equivalent), clearance type (Traditional, Special, Abbreviated), and date range. Returns clearance number (K-number), applicant, device name, decision date, and product code. Related: fda_device_class (product code details and classification), fda_product_code_lookup (cross-reference a product code across 510(k) and PMA), fda_search_pma (PMA approvals for higher-risk devices).

  ConnectorOAuth

• search_recipesA

  food-recipe-mcpA

  Search a database of recipes using hybrid semantic search (dense + sparse) with reranking. The database contains ~50,000 recipes from Food.com covering a wide range of cuisines, meal types, and cooking styles. Recipes include nutritional information, difficulty ratings, and user ratings. Use natural language in the query to describe what you are looking for — cuisine, style, main ingredient, occasion, or mood all work well. Norwegian and English are both supported natively. Examples: 'quick Italian pasta for weeknight dinner' 'Swedish meatballs with gravy' 'healthy high-protein chicken bowl' 'easy chocolate cake for beginners' 'something with salmon and lemon' 'Indian curry chicken' 'traditional Norwegian kjøttkaker' 'hurtig pasta med kylling' 'enkel sjokoladekake' Args: query: What you are looking for — describe the dish, cuisine, main ingredient, cooking style or mood freely. Any language is supported. diet: Optional — filter by dietary requirement: 'vegetarian', 'vegan', 'gluten-free', 'dairy-free', 'low-carb', 'keto', 'paleo' max_minutes: Optional — maximum total time in minutes, e.g. 30 difficulty: Optional — 'easy', 'medium' or 'hard' servings: Optional — not used for filtering (servings vary), but include in query for scaling context, e.g. 'pasta dish for 6 people' limit: Number of results to return after reranking (default 5, max 20) Returns: List of recipes ranked by relevance. Each result includes rerank_score, rrf_score (hybrid fusion), title, total_time, difficulty, diet labels, ingredients, instructions, nutrition, rating, and source URL context.

  ConnectorNo auth

• historical_price_seriesA

  mcp-knowledgeC

  Fetch historical OHLCV price series for any ticker: stocks (AAPL, SAP.DE, 7203.T), ETFs, indices, commodities (GC=F for gold) or cryptocurrencies (BTC-USD). Returns a full date-indexed series of open/high/low/close/volume plus pre-computed statistics: total return, annualised return (CAGR), annualised volatility, max drawdown and Sharpe estimate (rf=4%). Automatically detects crypto tickers (→ CoinGecko) vs traditional assets (→ Yahoo Finance primary, Stooq fallback). Adjusts for dividends and splits when adjusted=true (default). Use cases: backtesting, factor analysis, performance attribution, charting, financial modelling. Sources: Yahoo Finance, CoinGecko, Stooq. All keyless. Optional env: AICI_RESEARCH_PROXY_URL for Bright Data routing (lifts Yahoo 429), TWELVE_DATA_API_KEY for higher Twelve Data quota.

  ConnectorNo auth

• historical_price_seriesA

  gapup-mcpC

  Fetch historical OHLCV price series for any ticker: stocks (AAPL, SAP.DE, 7203.T), ETFs, indices, commodities (GC=F for gold) or cryptocurrencies (BTC-USD). Returns a full date-indexed series of open/high/low/close/volume plus pre-computed statistics: total return, annualised return (CAGR), annualised volatility, max drawdown and Sharpe estimate (rf=4%). Automatically detects crypto tickers (→ CoinGecko) vs traditional assets (→ Yahoo Finance primary, Stooq fallback). Adjusts for dividends and splits when adjusted=true (default). Use cases: backtesting, factor analysis, performance attribution, charting, financial modelling. Sources: Yahoo Finance, CoinGecko, Stooq. All keyless. Optional env: AICI_RESEARCH_PROXY_URL for Bright Data routing (lifts Yahoo 429), TWELVE_DATA_API_KEY for higher Twelve Data quota.

  ConnectorNo auth

• search_dishesA

  Bela VistaA

  Find which restaurants serve a dish in this neighborhood. Searches every menu item across all restaurants on the site, grouped by dish — e.g. query "feijoada" returns each restaurant serving it with price, description, dietary labels, and the place URL. Omit the query to list the most-served dishes. Use this for any "where can I eat X" question.

  ConnectorNo auth

• search_dishesA

  TatuapéA

  Find which restaurants serve a dish in this neighborhood. Searches every menu item across all restaurants on the site, grouped by dish — e.g. query "feijoada" returns each restaurant serving it with price, description, dietary labels, and the place URL. Omit the query to list the most-served dishes. Use this for any "where can I eat X" question.

  ConnectorNo auth