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650,522 tools. Updated 2026-10-14 01:26

"General search for the term 'good'" matching MCP tools:

  • 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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  • The session types this shop sells. Show these to the buyer and let them choose — do not pick for them unless they ask you to. Each returns an id to pass to create_order as session_type. If the buyer is unsure, the good_for examples are there to help them decide, and 'general' is a perfectly good answer.
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  • Keyword search across FDA regulations — US Food & Drug Administration rules in 21 CFR. Answers "what FDA regulations cover X", "the FDA regulation / rule about X", "find the FDA requirement for X". Great for topics: good manufacturing practice (GMP / cGMP), quality system regulation, medical device labeling, drug labeling, nutrition facts / food labeling, new drug applications, dietary supplements, cosmetics, biologics, controlled substances, current good manufacturing practice for drugs and devices. Returns matching FDA regulations with citation (21 CFR), heading, excerpt, and source URL. This searches FDA REGULATIONS (regulatory text); for FDA DATA (drug labels, adverse events, recalls) use the openfda tools. Example: fda_search({ query: "medical device labeling" }); fda_search({ query: "good manufacturing practice", limit: 15 }). Keyless.
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  • Use for general web research (company info, news, job portals). For LinkedIn profiles use search_linkedin_people; to read one company's own site use read_company_website. General-purpose Google search — returns organic results for any query. Unlike search_google_xray (LinkedIn-only), this searches the entire web. Useful for finding job postings on portals (jobs.cz, prace.cz, profesia.sk, indeed.com), company info, news, or any other web content. Results are NOT saved to contacts — use this for research and discovery. Capped at 4 calls per minute to protect the Serper/Google budget.
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  • Curated TuLugar guides (general education, kept current): buying-process (step-by-step + documents), foreigners (rights + restrictions for non-Paraguayans), closing-costs (what fees exist), renting (contracts, deposits, garante), publishing (listing tips), airbnb (short-term rental basics). ALWAYS use this for "how does buying/renting work" / process / documents questions — the content IS in scope to share; only personalized legal advice is not.
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  • Curated TuLugar guides (general education, kept current): buying-process (step-by-step + documents), foreigners (rights + restrictions for non-Paraguayans), closing-costs (what fees exist), renting (contracts, deposits, garante), publishing (listing tips), airbnb (short-term rental basics). ALWAYS use this for "how does buying/renting work" / process / documents questions — the content IS in scope to share; only personalized legal advice is not.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server exposing four task-shaped tools (resolve, pay, verify, disclose) for General Liquidity, enabling agents to normalize counterparties, submit intents, verify disclosures, and produce signed disclosures.
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    A persistent, self-organizing memory MCP server for AI assistants, using semantic search, knowledge graphs, and reinforcement learning to automatically manage and retrieve memories.
    13
    MIT

Matching MCP Connectors

  • A forum whose members are AI agents. Publish verifiable findings, enter scored challenges.

  • Sports-analytics research assistant that grades its own model and reports the losses. $9.99/mo.

  • 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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  • Quote a specific proxy plan configuration. The actual price of a chosen `product_id`, country distribution and add-ons, for a customer comparing real prices or about to buy. What Webshare sells in general is in the catalog (list_proxy_catalog), and a configuration outside the bounds get_customize_options reports is refused with a 400. BEHAVIOR: `behavior="add"` prices a new plan alongside the customer's current ones; `behavior="upgrade"` prices changing the plan named in `plan_id`. The two return different numbers for the same configuration. Either one restarts the subscription's term today for every active plan, so the quote charges all of them for a fresh term and gives back the unused part of the current one as credit. TERMS: pass `term="monthly"` or `term="yearly"` for a single quote, or omit `term` to get both terms in the same response, side by side. FREE PRODUCT: rejected with a ValidationError — the free tier is auto-provisioned and not purchasable. AUTHENTICATED VS ANONYMOUS: with `user_id` the response carries `paid_today`, `credits_added` and `credits_used`, which account for the plans the customer already holds, and `tax_breakdown` (when the customer has a payment method on file). Without user_id the response reflects a first-time anonymous purchase quote.
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  • Return CalmActiva's curated CBD FAQ (legality, onset time, lab testing, shipping, brand disambiguation). Use for general CBD/brand questions before falling back to web search.
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  • Look up Indian financial products and terms in FinanceGenius.AI's catalogue. Hybrid retrieval (BM25 + semantic + product database, fused with Reciprocal Rank Fusion) over our product records. Good for questions anchored to real products: 'which HDFC cards waive the annual fee?', 'what does the Bajaj FD pay for 3 years?', 'ELSS options with a 3-year lock-in'. Not a general financial encyclopedia: the curated explainer knowledge base is not loaded in production, so abstract questions ('how does APR work?') fall back to product matches. Say so rather than dressing a product listing up as an explanation. Args: query: The financial question or concept to explain. institution: Optional — narrow search to one institution (e.g. 'hdfc-bank').
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  • 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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  • Returns the general Intune Ready FAQ from the homepage, verbatim: licensing, cost, timelines, messy existing enrollments, and what happens after setup. Optionally filter with a search term to return only matching pairs. It does not cover the other published FAQs — use get_partner_channel for MSPs and independent IT contractors, and get_cloud_pc_offering for Windows 365 and Azure Virtual Desktop. If nothing matches, says so rather than guessing.
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  • Free-text search across every public resource family on The Holistic Care (blog articles, mindfulness games, free guided practices, research summaries, glossary terms, and public PanchaVikas resources). Use this as the general entry point when a request doesn't clearly belong to one specific family — e.g. 'Find something about breathing for anxiety' or 'What has THC published about nondual awareness?'. `resource_type`, `category`, `audience`, `skill`, and `age` are applied as a post-filter over the text search results (the underlying search endpoint only supports free-text query natively), so a narrow combination of filters plus a rare query term can legitimately return few or zero results even if matching resources exist outside the searched batch — for a guaranteed, fully server-side filtered result within one resource family, prefer find_mindfulness_games, find_guided_practices, search_mindfulness_research, or lookup_mindfulness_term instead.
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  • 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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  • 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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  • Returns registration, renewal and transfer prices for a TLD in the company's billing currency. Parameter: tld (with leading dot, example: ".com" or ".com.tr"), optional period (registration years, default 1). With a period above 1 the registration figure is the whole term: one first year at the registration price plus the remaining years at the renewal price, since a promotion covers the first year only. Call it when the question is about an extension's price in general, with no particular name in mind - search_domain is the one for a named domain.
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  • Search for Lightning Network nodes by partial alias match. Returns nodes whose aliases contain the search term (case-insensitive).
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  • Comprehensive air quality assessment for a location in one call. Combines nearby monitor discovery and current readings with DAQI into a single response. Use this as the first tool call for any air quality question about a location. For long-term trend analysis, use the dedicated `trend_analysis` tool. Returns a structured 'summary' dict with purpose-appropriate sections. Present the summary description to users first. Args: location: Postcode, place name, or "lat,lon". purpose: What the user needs — "general" (default), "health" (safety/worry), "exercise" (outdoor activity), or "planning" (homebuying/school assessment/long-term).
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  • Use for a known approved pet slug when the user wants CLI or manual install instructions. Do not use to search for pets or inspect general metadata; use search_pets or get_pet instead. This tool is read-only and does not increment install or download counters.
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  • 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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  • 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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