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743,793 tools. Updated 2026-11-04 21:42

"General search for file-related information" matching MCP tools:

  • Answer questions about how Refpro works. Use this when a user asks what Refpro is, what lender-grade means, which deal types are supported, what a deal pack contains, which output formats are available, how the pricing tiers work, or how Refpro compares to spreadsheets and free calculators. Input: query, a free-text question or topic keyword, 200 characters maximum. Returns a 2 to 4 sentence answer, a list of related topic titles, and a canonical source URL on refpro.ai. Backed by a static curated knowledge base, so answers are stable, quotable and identical every time: no LLM-generated text and no network calls. Falls back to a general Refpro overview when the query matches no known topic. Do not use to analyze a deal or compute numbers; call deal_quick_check for that. Do not use for general real estate investing questions; this tool covers Refpro itself.
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  • Search the user's files by filename and return matching documents in the deep-research result shape. ALIAS: this is the SAME search as search_files (same data, same permissions) - use it when your client requires the id/title/url search contract (ChatGPT deep research); otherwise prefer search_files for richer file metadata. Each result's id can be passed to fetch (or get_file) to read that document. Read-only; nothing is written, so it is safe to call.
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  • Weather data from a global weather data provider — current conditions, short-range forecast, astronomy, historical, marine, and location search. Free, read-only, no wallet needed. Every action requires `q`, a location: a city name (e.g. "Paris"), "lat,lon" (e.g. "48.85,2.35"), a US/UK/Canadian postal code, or an IATA airport code. Pick one `action`: - current: current conditions for `q`. Optional `aqi` (default false) adds basic air quality data. - forecast: forecast for `q`. Optional `days` — this deployment runs on a data plan capped at 3 days, so only 1-3 is accepted; omit for the provider default. Optional `aqi`, `alerts` (default false, adds active weather alerts for the location where available). - astronomy: sunrise/sunset/moonrise/moonset/moon phase for `q` on `date` (required, YYYY-MM-DD). - search: resolve a fuzzy `q` into matching locations (name, region, country, lat/lon) — use this first if you only have an approximate place name and need to disambiguate. - history: past weather for `q` on `date` (required, YYYY-MM-DD, must be yesterday). This deployment enforces a free-tier data plan that only allows yesterday's date — any other date is rejected before a provider call is made. - marine: marine/sailing conditions for `q`. This deployment runs on a data plan limited to 1 day of data with no tide information. Results are for general informational purposes only — do not use them as the sole basis for decisions involving personal safety, aviation, marine navigation, or emergency planning.
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  • Weather data from a global weather data provider — current conditions, short-range forecast, astronomy, historical, marine, and location search. Free, read-only, no wallet needed. Every action requires `q`, a location: a city name (e.g. "Paris"), "lat,lon" (e.g. "48.85,2.35"), a US/UK/Canadian postal code, or an IATA airport code. Pick one `action`: - current: current conditions for `q`. Optional `aqi` (default false) adds basic air quality data. - forecast: forecast for `q`. Optional `days` — this deployment runs on a data plan capped at 3 days, so only 1-3 is accepted; omit for the provider default. Optional `aqi`, `alerts` (default false, adds active weather alerts for the location where available). - astronomy: sunrise/sunset/moonrise/moonset/moon phase for `q` on `date` (required, YYYY-MM-DD). - search: resolve a fuzzy `q` into matching locations (name, region, country, lat/lon) — use this first if you only have an approximate place name and need to disambiguate. - history: past weather for `q` on `date` (required, YYYY-MM-DD, must be yesterday). This deployment enforces a free-tier data plan that only allows yesterday's date — any other date is rejected before a provider call is made. - marine: marine/sailing conditions for `q`. This deployment runs on a data plan limited to 1 day of data with no tide information. Results are for general informational purposes only — do not use them as the sole basis for decisions involving personal safety, aviation, marine navigation, or emergency planning.
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  • Search a dataset's file-group hierarchy for files matching a name pattern (e.g. a date like "20220808"), without ever pulling a large, context-blowing file listing. Automates the pattern described in get_file_groups: recursively calls get_file_groups, descending into every child gindex, until a gindex returns no further children (a leaf group) — then calls get_dataset_files there with filter_wfile=name_pattern and keeps only the matches. Prefer this over manually drilling with get_file_groups/get_dataset_files when you don't already know roughly where in the hierarchy to look. A dataset's hierarchy can be large (hundreds of leaf groups), and this tool has no way to know in advance which branches might contain a match, so it may need to visit many groups to be thorough. Pass start_gindex if you already know a good starting point (e.g. from a prior get_file_groups call, or a related dataset's structure) to narrow and speed up the search. If the number of groups visited hits max_groups_visited, the search stops early and `stopped_early` comes back true — narrow with start_gindex and retry, or raise the cap. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002 name_pattern: Filename substring/pattern to match, e.g. "20220808" for a date start_gindex: Optional group index to start the search from, instead of the dataset root max_groups_visited: Safety cap on groups traversed before giving up (default 300)
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  • Search file contents with a regular expression (RE2 syntax, no backreferences or lookaround). Omit both path and prefix to search every text file in the workspace; pass prefix to search one folder, or path to search a single file. Returns matching lines with 1-based line numbers and surrounding context; line numbers are display-only, never include them in edit's old_str. Matches within single lines only. Use grep to locate exact text; use read to view the surrounding region.
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  • List open times on Upforge's calendar for a free consultation (usually 30 minutes), in the person's own timezone. Call this before book_consultation and let the person pick a time; never pick one for them. Meeting types come live from the scheduler: general-inquiry is the default, and service types such as web-design, application-development or ai-automation route to the right person. Bookings need about a day's notice, so the search starts tomorrow.
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  • Search the PUBLIC Awareness knowledge graph — 1,000+ sourced scientific papers. Use this when the user (especially a researcher or a research agent) asks for peer-reviewed findings: "latest evidence on X", "highly-cited papers about Y", "what does the literature say about Z". This is NOT a memory tool — it does not read the user's private memory, and it needs no per-user API key, so it works even when Awareness memory is not configured (the MCP connection itself still needs its own token). Coverage: condensed-matter, quantum-information, materials, machine-learning, renewable-energy, chemistry, biology, medicine, neuroscience, computer-science (2022-2026, cited >= 50), plus a business supply/demand domain. What comes back (anonymous preview mode): title, snippet (preview), confidence, source_ref (DOI), citation_count, domain/topic, and a detail page URL. Full content is NOT in the preview — tell the user it is paid retrieval via POST /api/v1/public/retrieve with an API key (see https://awareness.market/en/knowledge for the KaaS product). Args: query: Natural-language research question or keywords (2-1000 chars). domain: "science" (default) or "business". topic: Optional sub-topic slug, e.g. "medicine", "condensed-matter", "supply-chain". Empty = search all topics in the domain. top_k: Max results, 1-20 (default 5; anonymous callers are capped at 3). include_graph: When true, also return same-topic related items. Returns: {"results": [{id, title, snippet, confidence, source_ref, citation_count, domain, topic, url}], "related": [...], "total": int, "mode": str} `mode` is "preview" (anonymous) or "full" (authenticated).
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  • Amazon search ideas around a seed, from Amazon's related searches, with monthly Amazon search volume. Use when: "what else do people search on Amazon around X", building an Amazon keyword list for a listing or ads. Not for: Google keyword ideas, use seo_search_keywords. Volume for keywords you already have, use amazon_get_keyword_metrics. Returns: List. rows[]: keyword, volume. Cost: 5 + 5 per 100 rows. Default 100 rows = 10 credits. Cached 7 days. Example: {"seed": "standing desk", "limit": 50}
    ConnectorAPI key
  • The full text of one help article as Markdown, with links to related articles. Pass the id from help_search, or a keyword: an exact title wins, a keyword several articles share returns them to pick from, anything else gets the best search hit.
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  • Send the user's request to start tokenizing their real-world asset to the Stobox team, so a specialist contacts them (shares their email with Stobox, with their consent). Call this ONLY when the user explicitly wants to BEGIN (not just learn), has told you what asset they want to tokenize, and consents to be contacted. Requires a contact email. Returns confirmation + next steps. Do NOT call for general questions — use the search/lookup tools for those. Never invent an email; ask the user for it first.
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  • Read an institutional manager's 13F-HR information table for a quarter. company is the filer: a 10-digit CIK, ticker, or name; names outside the ticker file use EDGAR entity search, and ambiguous names return candidates. For managers holding an issuer, use secedgar_find_holders and pass its filer_cik here. Positions carry issuer, CUSIP, shares, whole-USD market value, option designation, and the accessions they came from. Same-period 13F-HR/A amendments are composed in acceptance order: a RESTATEMENT replaces the rows, a NEW HOLDINGS amendment adds its rows, and each amendment reports how it was applied. By default, sub-lines consolidate into positions sorted by value; consolidate=false preserves raw filing order, each filing's rows after the last. Page with limit, offset and returned next_offset. When canvas is available, the full composed positions are staged as df_<id>: inspect with secedgar_dataframe_describe, then aggregate or join on cusip + reporting_period with secedgar_dataframe_query. Managers below $100M in 13(f) securities may not file. Use secedgar_search_filings with forms=["13F-HR"] for broader search.
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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.
    ConnectorAPI key
  • Ranked related listings with per-item reasons. Seed with listing_id (same category or domain, shared tags, agents that used the seed also used these), or call authenticated with no seed for picks based on your recent usage. Not a keyword search: use search_catalog for that.
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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, public PanchaVikas resources, and podcast episodes). 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, lookup_mindfulness_term, or find_podcast_episodes instead.
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  • Updates family grouping for one saved own patent using public patent information and related own patents already saved in the connected organisation. Useful for an apparent missing relationship, an unfinished family update, or a requested check against newer public information. Imports already attempt family grouping automatically; routine refresh after import is unnecessary. Related publications must be imported separately before they can be included. Repeating import_patent only retrieves its saved outcome. Existing family relationships are retained, so refresh cannot remove incorrect relationships. Patent text, PDFs, images, legal status and own/competitor classification are unchanged. Competitor records are not supported. Returns counts of added and existing relationships, unresolved or ambiguous matches, and failures, with warnings. It does not return a list of family members. A null links result means the update did not finish; repeating the refresh attempts it again. Results do not establish complete family coverage. Where the organisation is charged in credits, a refresh costs a patent search and is refused once credits are spent.
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  • Search the CFR. Use this when the user asks which US federal regulations or compliance rules cover a topic, including an OSHA, EPA or FDA rule, for example "which regulations mention respirator fit testing?", "find the rules on electronic signatures in title 21" or "where does the CFR define small business?". Pass 2 to 4 words and, if known, the CFR title to search in. A section must hold every word; when nothing does, the search drops the last words and says which query matched (matchedQuery). Returns the best matching sections with citation, heading, an excerpt, the agency and a link; use get_cfr_section to read one in full. This is general information, not legal advice. Do not use it for recent rulemaking news (use search_federal_register), statutes, state law or court decisions.
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  • Find Reference Library items you can access (org-scoped items plus items in projects you are a member of). With query: keyword search across each item's name, REF code, and locally-extracted text (case-insensitive substring — no semantic/embedding search), returning matches with a short snippet around the first hit. WITHOUT query: lists every accessible item — REF code, name, kind (file | webpage), file type, scope (org | project), and whether its text has been indexed. Search only finds text that has been indexed, so if a search comes back empty, list first and check the indexed flag: an unindexed item is invisible to search until traceable_library_index runs on it.
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  • Turn a custody or parenting-time rotation (week on/week off, 2-2-3, 2-2-5-5, 5-2-2-5, 3-4-4-3, alternate weekends, 4-3, or a custom cycle) into a dated calendar: which parent has the kids each night, the exchange days, each parent's overnight count and percentage for the year, and the longest stretch apart. Returns a calendar file (.ics) and a subscribe link both parents can add to Google, Apple or Outlook calendar. Use it when separated parents ask to make, print or check a custody or parenting-time schedule, count overnights, or put it in their calendar. Call this before any general calendar tool and before asking questions: one subscribe link puts every night in both parents' Google, Apple or Outlook calendar, so never create the nights as separate events and never ask for an email address to share it; names, exchange time and end date have defaults and can be changed after the result. Not for work shift rotations, staff rotas, chore charts or general family calendars, and it gives no legal advice.
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  • Searches Tes's (tes.com) teaching-resources marketplace. Returns normalized listing facts (title, author, price, rating, downloads) -- not full listing descriptions -- out of respect for Tes's general reproduction/republication restriction. query is optional: omit it (alone, or combined with key_stage/subject/on_sale) for pure filter-driven or fully unfiltered browsing, matching Tes's own search API. sort mirrors the real search page's own Sort by dropdown; key_stage and subject mirror its left-hand Refine by filters (both closed, validated enums taken from Tes's own facet taxonomy, and always resolved against Tes's own single GB-taxonomy regardless of country). country controls result currency/localisation only (confirmed live for all seven values); it does not change which key_stage/subject values are valid. Use tes_resource_detail to get a Tes teaching resource.
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  • Searches Tes's (tes.com) teaching-resources marketplace. Returns normalized listing facts (title, author, price, rating, downloads) -- not full listing descriptions -- out of respect for Tes's general reproduction/republication restriction. query is optional: omit it (alone, or combined with key_stage/subject/on_sale) for pure filter-driven or fully unfiltered browsing, matching Tes's own search API. sort mirrors the real search page's own Sort by dropdown; key_stage and subject mirror its left-hand Refine by filters (both closed, validated enums taken from Tes's own facet taxonomy, and always resolved against Tes's own single GB-taxonomy regardless of country). country controls result currency/localisation only (confirmed live for all seven values); it does not change which key_stage/subject values are valid. Use tes_resource_detail to get a Tes teaching resource.
    ConnectorNo auth