"A search for the term 'test'" matching MCP tools:

• get_asma_ul_husnaA

  WasilahA

  Look up the 99 Names of Allah (Asma ul Husna). Returns Arabic, transliteration, English and Bengali. Give a number for one name, a search term to match by meaning or transliteration, or neither to get all 99.

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• keyword_researchA

  AMZ VaultA

  Keyword Research (marketplace term universe): search the FULL Top Search Terms store by phrase - not anchored to any ASIN. Filters: contains (up to 5 substrings, ANDed), department, rank_max, min_volume; period WEEK or MONTH (MONTH = monthly volumes); sort rank | volume | trend. Each term: search_frequency_rank, volume (amazon_sqp = TRUE Amazon volume where any account's SQP covers the term; estimated_from_rank with volume_band otherwise), rank_change vs ~4 periods back, and the top-3 clicked ASINs with click/conversion shares (the term's competitive landscape). The estimator block reports calibration health (pairs, typical error factor, band coverage). Use keyword_finder for ASIN-anchored lookups; this tool for term-first research. For the guided process start with keyword_opportunities.

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• keyword_listA

  Prowlo — Reddit & X for AI agentsA

  [DEPRECATED — renamed tag_rule_list. Will be removed after 2026-10-07.] List your org's TAGGING RULES (the dashboard's 'Tagging rules') — labels applied to posts your Watchers already ingest. NOT the dashboard's Keyword Monitor: for the keywords that search all of Reddit daily, use keyword_monitor_list. Each rule tags matching Dataset records whose title or body mentions its term as a whole word. Returns the term, active status, and match statistics. Changes take effect on the next scheduled processing cycle. Existing opportunity scores and matches are not retroactively updated. (requires a free Prowlo account — call it to get a signup link)

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• tag_rule_listA

  Prowlo — Reddit & X for AI agentsA

  List your org's TAGGING RULES (the dashboard's 'Tagging rules') — labels applied to posts your Watchers already ingest. NOT the dashboard's Keyword Monitor: for the keywords that search all of Reddit daily, use keyword_monitor_list. Each rule tags matching Dataset records whose title or body mentions its term as a whole word. Returns the term, active status, and match statistics. Changes take effect on the next scheduled processing cycle. Existing opportunity scores and matches are not retroactively updated. (requires a free Prowlo account — call it to get a signup link)

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• calculate_refi_breakevenA

  Senaro Personal FinanceA

  Calculation, not advice. Verify with a professional before acting. Deterministic mortgage refinance break-even analysis. Given your current loan (balance, rate, remaining term) and a refinance offer (new rate, new term, closing costs, optional points), computes: - monthly P&I savings; - the cash-flow break-even month (Senaro's formula: total refinance cost divided by monthly savings, rounded up to a whole month, built on the payback test the CFPB toolkit describes); - the interest delta over your remaining-term horizon, and each loan's interest over its whole schedule (the current loan's remaining term, the new loan's full term); - a term-matched scenario that isolates the rate cut from a term reset; - a term-reset-trap flag (a longer term and a lower payment, but more interest over the new loan's full term than over the current loan's remaining term); and - the economic break-even (net-worth crossover) month under an equal-outflow model: both sides spend the same each month; the side that keeps the current loan starts with the upfront refinance cost invested at month 0 (nothing when costs are rolled in); money not spent on a payment is invested at investment_return_pct. The search runs to the end of the longer loan term, and stops earlier where a loan's term ends with money still owed. Rate-and-term refis only (cash-out and tax effects are out of scope). Pick this when refinancing your existing mortgage into a new rate and term is the question; pick `compare_mortgage_terms` when comparing two mortgage structures on a purchase you have not yet taken out. All defaults cite primary sources (LodeStar/ALTA closing-cost data, the CFPB toolkit's payback test). Scalar output, no chart series. payoff_months and payoff_month_shift use {status, value, explanation}; the two break-evens use {code, month, explanation}.

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• get_keyword_serpA

  AppTail – ASO & Keyword ResearchA

  The App Store search results for one term in one storefront, on one day: who ranked, in what order, with their names, subtitles and ratings. This is how you find out WHO took the places an app lost — a rank that fell is a fact, and the results page on the day it fell is the reason. Works for ANY term in the store, tracked or not, known to us or not: pass `keyword_id` for a term you already have an id for, or `keyword` + `country` for words a user typed, which resolves the term and crawls the storefront live when what we hold is over a day old. Omit the date for the most recent crawl. A lookup can persist a new shared keyword record and queue a background crawl that updates stored search observations. It does not track the keyword for your account.

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• searchA

  canton-ccpediaA

  Keyword/full-text search over the Canton Network knowledge base (CIPs, Canton/Daml/Splice docs, forum, mailing lists, whitepapers, grant proposals, blog, YouTube, GitHub). Canton-specific. Do NOT use for other blockchains, the web, or local files. Use this for exact-term/name lookups; use semantic_search instead for conceptual or 'how does X work' questions, and get_doc to read a full page once you have its id. NOTE: forum matches cover the topic TITLE and the FIRST POST only; a term that appears only inside a forum reply will not surface here, so use semantic_search (which indexes all forum post bodies) when a forum discussion is likely and this returns nothing.

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• search_keywordA

  AsoTheoryA

  Live one-off research for a search term: difficulty, traffic and effectiveness against whichever apps currently hold the top results. No history is saved -- use this to compare candidate terms before deciding what to track.

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• keyword_opportunitiesA

  AMZ VaultA

  KW research FRONT DOOR - start here for any keyword question about a product (new or established). One call, five intent sections, every row with evidence + volume + a suggested next action: target_gaps (proven-relevant terms with no serving keyword target), discover (Amazon's own suggested keywords - v5 recs with themes, suggested bids and 30-day impression share - that the product has no footprint on), asin_targets (competitor ASINs from top-clicked co-occurrence + Amazon's product-targeting recs), organic_strength (terms organic is carrying while paid spend continues - bid-down test candidates), defend (brand-term coverage). Volumes everywhere: amazon_sqp = TRUE market volume, estimated_from_rank with volume_band otherwise. Primitives for raw exploration: keyword_finder (ASIN-anchored), keyword_research (term universe).

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• generate-ab-test-variantsA

  GigSoul x402A

  Create 3 A/B test variants of existing marketing copy, one variable changed per variant, each with a hypothesis, plus a test plan (primary metric, sample size, duration). Tone stays close to the source. Use when you already have copy to test. To score copy without variants, use score-landing-page or predict-viral-potential. Pay-per-call: $0.05 USDC on Base via x402. Without a payment-signature header the call returns an error whose data carries the payment terms.

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• search_measuresA

  CDC PLACES Health DataA

  Search available CDC PLACES measures by name or category. Returns matching measure IDs, names, and categories. Use this to find the correct measure_id for other tools. Categories: Health Outcomes, Health Behaviors, Prevention, Health Status. Args: keyword: Search term (e.g. 'diabetes', 'smoking', 'prevention', 'heart').

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• search_keywordA

  OpenArxB

  Pure keyword (BM25) search — fastest option, optimal for exact-term lookups: paper titles, author names, method names (e.g. "LoRA", "RLHF"), arXiv IDs. Does NOT use semantic vectors. Use this when you know the specific term you're looking for. For paraphrased or conceptual queries, prefer "search_semantic" or "search". ★ Ranking is over at most 20 000 matching chunks: a COMMON term (or any_words over several) overflows that, and then pool.keyword.truncated=true says the ranking covered only the earliest-stored matches — narrow the query to get a full ranking. This is what keeps an answer under a few seconds instead of minutes.

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• add_glossary_entriesA

  globalize.nowA

  Add (or update) glossary entries for a project in one call. Pass an array of term rows, each with its own source and target term and their project_language ids — so a single source term can have a different translation per target language. Resolve the language ids first with get_project. Entries are upserted on (project, sourceTerm, source, target); re-adding an existing key updates its target term and its do-not-translate flag. Set doNotTranslate on a row for a term that must be kept verbatim (a brand or product name); its stored target term is then forced to equal the source term. Both terms are trimmed of leading and trailing whitespace before they are checked and stored; a source term empty once trimmed is refused. Marks any matching translation-memory entries stale so future translations pick up the change. When referring to a project or language in your reply to the user, use its name and locale (e.g. "French (fr-FR)") — ids (UUIDs) are for tool calls only, never show them to the user.

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  Destructive

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• search_lightning_nodes_by_aliasA

  mcpB

  Search for Lightning Network nodes by partial alias match. Returns nodes whose aliases contain the search term (case-insensitive).

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• search_plans_by_vehicleA

  Chaiz MCPA

  Search Chaiz for vehicle service contract (extended warranty) plans by make, model, and year. Results are 36-month (3-year) term plans. Returns plan cards with monthly and total price, coverage term, coverage level, rating, and links to chaiz.com. All of make, model, year, mileage, and state are required. If any are missing, ASK the user for them — never guess the mileage or state.

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• search_semanticA

  OpenArxB

  Pure semantic (vector) search — best for paraphrased queries, concept exploration, "papers arguing X" type questions. Uses dense vector similarity via Gemini or SPECTER2 embeddings. Skips BM25 fusion which can introduce term-matching noise. For exact terms use "search_keyword". For mixed queries use "search".

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• searchA

  ChangeGamerA

  Keyword search across ALL ChangeGamer content (resources and editorial guides) with server-side ranking: term hits in title weigh most, then tags, then description. Returns ranked rows with type, slug, title and .md URL (no body content). Use get_resource/get_article to fetch winners.

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• searchA

  changegamerA

  Keyword search across ALL ChangeGamer content (resources and editorial guides) with server-side ranking: term hits in title weigh most, then tags, then description. Returns ranked rows with type, slug, title and .md URL (no body content). Use get_resource/get_article to fetch winners.

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• list_keywordsA

  AppSkyline App RankingsA

  Use this when someone asks which keywords they track for an app, or before adding or deleting one. Returns each tracked keyword's id, search term, language, country and bid, up to 500 per call. Not for current rankings or search volume.

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• list_keywordsA

  AppSkylineA

  Use this when someone asks which keywords they track for an app, or before adding or deleting one. Returns each tracked keyword's id, search term, language, country and bid, up to 500 per call. Not for current rankings or search volume.

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• generate_content_briefA

  ranklogsA

  Run a content analysis on one page for one search term: scores it against the pages actually ranking and produces a working brief. Uses 1 of the plan's monthly content analyses. Takes about a minute — fetch the result with get_content_brief.

  ConnectorAPI key