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509,152 tools. Updated 2026-09-03 05:34

"Search for Revit 2022" matching MCP tools:

  • Search 6,940 WCO Harmonized System (HS 2022) commodity codes — the 6-digit international customs classification layer. The first 2 digits are the chapter, 4 the heading, 6 the subheading. Provide ONE of: query (free-text description search, min 2 chars), code (2-6 digit lookup, returns the code plus its hierarchy), or section (Roman numeral I-XXI to browse a section). Behavior: read-only; description search is keyword-based against official HS descriptions, so everyday product words can return zero rows — count 0 with an empty results[] is a valid answer (e.g. "laptop" and "computers" find nothing; "automatic data" matches the official phrasing "automatic data processing machines"); prefer the formal tariff wording. Rate-limited (anonymous use: 25 requests/day per IP): a 429 error body carries retry_after_seconds and a Retry-After header — back off and retry, or call get_subscribe_link for higher limits. Returns: the query/code echo, count and results[] (hscode, description and hierarchy context) under result, plus confidence, _source and citation (the FreightUtils v1 response envelope). Limitations: the 6-digit international level only — national tariff lines (8-10 digits) and duty rates are set per country; classification here is indicative, not a binding ruling. Related: uk_duty_calculator (duty/VAT for a code found here), ics2_check (EU ENS goods-description quality — a different check entirely).
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  • Search the web for current information on any topic. Returns extracted page content, not just snippets. Best for factual lookups, specific questions, or when you need a list of sources. For open-ended questions that need synthesis across many sources, use the research tool instead. For news queries (current events, breaking news, politics, world events), set topic="news" to search news sources specifically. This returns recent articles with publication dates. Set include_answer=true to get an AI-synthesized answer alongside results (adds 10 credits). This is the sweet spot for most agent tasks, e.g. basic + include_answer = 12 credits, much cheaper than a full 50-credit research call. Returns: query, answer (if requested), results (array of {title, url, content, description, fetched, published_date}), search_depth, topic, elapsed_ms, credits_used, credits_remaining, altered_query, relaxed_query (set when the query matched nothing and was retried once with its site: operator, else its quotes, removed - the results answer that looser query). Args: query: The search query search_depth: "basic" (default) for extracted page content (2 credits), "snippets" for SERP snippets only without page fetching (1 credit) max_results: Number of results (default 10, max 20) include_answer: Generate an AI answer that synthesizes the search results (adds 10 credits) include_domains: Only include results from these domains (max 10) exclude_domains: Exclude results from these domains (max 10) topic: "general" for web search, "news" for news articles. use "news" for current events, breaking news, politics, or any time-sensitive query freshness: Filter by recency - "day", "week", "month", "year", or "YYYY-MM-DD:YYYY-MM-DD"
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  • GET /search — Cross-resource omni-search Cross-resource search across profiles, rooms, messages (incl. private DMs + group DMs you're in), events, and chapters in one round trip. Returns the top-N matches per resource, grouped by resource. Use this when you don't yet know which resource carries the answer — agents typically call this first, then drill into a specific `GET /search/<resource>` for more depth on a single bucket. There's no page param: when you hit the per-resource limit and want more, switch to the per-resource endpoint for that one. The events slice has a baked-in forward-looking default (events ending in the last 30 days or later, and currently enabled) — this matches the in-app "Search across DC" surface. Use `GET /search/events` directly to look further back in time. **Query syntax (`q=`):** plain words match with prefix + typo tolerance. Wrap a phrase in double quotes to require an exact ordered match — e.g. `q="remote work"`. AND/OR/NOT/parentheses are NOT parsed in `q=` — use the structured filter params below for boolean composition.
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  • Search JobYap job postings by natural-language query. Matches job titles, falling back to significant keywords when the full phrase finds little. Returns result ids, titles and citable URLs for use with fetch. For structured filtering (location, company, remote, freshness) prefer search_jobs.
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  • Query the verified share of US manufacturing plants USING industrial robots — plus workers exposed and robotics capex — from the Census Industrial Robotic Equipment product (the first official federal robotics-adoption statistics). Use this for "are factories actually adopting robots" questions — the INSTALLED-BASE reading the import data cannot see. Serves the percent of plants with robots and the percent of employees at plants with robots (both published as FRACTIONS of 1: 0.121 = 12.1%), Census's demeaned variants, and capital expenditures for robotic equipment ($1000) — by manufacturing industry (`naics_code`, 2/3-digit), by `state`, and by `plant_size` band. Filter by `edition` ("asm_2018_2021" = the ASM annual series; "ec_2022" = the 2022 Economic Census), `table` (the workbook sheet — exactly one of: "Percent of... NAICS", "Percent of... Geo", "Percent of... Geo demean", "Robot adopters vs not", "Robot adoption and plant size", "CapEx... NAICS", "CapEx... Geo", "CapEx and plant size"), `data_year` (2018-2022), `naics_code`, `state`, `plant_size`, or `geo_area_name` ("United States" for the national row). Group by any of `edition`, `table`, `naics_code`, `naics_title`, `state`, `plant_size`, `data_year`. Pass each parameter as a top-level key of `params` (flat — not nested under a `filter`, `filters`, or `where` key). Example: `{"table": "Percent of... Geo", "data_year": 2022, "group_by": ["state"], "order_by": "avg_pct_plants_with_robots", "top_n": 10}` for the most-automated states; `{"table": "Percent of... NAICS", "edition": "asm_2018_2021", "naics_code": "336", "group_by": ["data_year"]}` for transportation-equipment adoption over the ASM years. Returns JSON aggregates with citations and optional row-level records when `include_records` is true — every value cites its exact workbook cell-group, re-verifiable via get_source_evidence_v1. THE ENGRAVED BOUNDARY: the two editions are NEVER spliced into one trend — the 2022 Economic Census reaches the small-plant universe the ASM sample does not (US plants-with-robots: 12.1% ASM-2021 vs 6.4% EC-2022 — a COVERAGE change, not a decline; every cross-edition scope carries an edition_scope note). Percents are INTENSIVE shares: avg/min/max over a scope, never summed. Capex sums UNDERSHOOT below the published totals wherever suppression bites (the published "United States" / "31-33" rows are the totals). Suppressed cells (D/S/A, decoded by the file's own footnotes) are null values with their verbatim letter — never zero; (s)-flagged estimates (standard error > 40%) carry their flag. Manufacturing plants only; adoption SHARES and capex, never robot counts (no official count of installed robots exists — the import unit-count series is query_robotics_trade_v1); an EXPERIMENTAL Census product (its own label); no edition after 2022 exists.
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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; always allowed.
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  • Cerca de text complet al pla Catalunya 2022 - RESET: 3 àmbits, 12 objectius, 91 accions. CA/EN/ES.

  • Revit model integration via APS — elements, parameters, schedules, clashes, IFC export.

  • Ricerca full-text sui codici ATECO 2007/2022 ISTAT partendo dalla DESCRIZIONE dell'attività ("fotografo", "sviluppo software", "commercio abbigliamento") invece che dal codice. Case/accent-insensitive, con stemming e alias colloquiali per-mestiere; accetta anche un prefisso di codice. Usa questo quando il codice NON è noto — `lookup_ateco` serve al caso opposto (codice noto → descrizione). Risultati ordinati per pertinenza. Gratis (€0), deterministico, nessun login richiesto.
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  • Search official economic statistics by free text, e.g. 'inflation barbados' or 'government debt japan'. Returns result ids that can be passed to fetch. Designed for deep-research connectors; for richer control use get_indicator / get_series.
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  • Search the web via Aimnis. Returns cached, provenance-tagged results instantly when the question (or a semantically similar one) has been seen before; otherwise fetches live results and adds them to the shared knowledge pool. Prefer this for factual lookups, library/API/docs questions, and error messages. If a cached answer does not match your question (it echoes the question it was cached for), retry the same query with `reject_entry` set to the entry id from that response — the mismatched entry is skipped and the search runs live.
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  • Create a V2 notification template. name is required. Provide content inline or set it immediately after creation via put_notification_content. To send with this template you must publish it first via publish_notification (or pass state: 'PUBLISHED' on create). Link a routing strategy via notification.routing.strategy_id to control which channels are used. Example: { notification: { name: 'welcome-email', tags: [], brand: null, subscription: null, routing: { strategy_id: 'rs_01abc' }, content: { version: '2022-01-01', elements: [] } } }.
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  • Search the datasheet corpus; returns hit records (metadata + snippet, each with an opaque `ref`). Pass a ref list to `get_segments` for full content. If you already know the part number(s), prefer `lookup` — it fuses this search with `get_segments` in one call and groups full content per part. Use `search` when the part is unknown, or to triage snippets before pulling full content. For part-specific queries, pass scope='device:<MPN>' (e.g. scope='device:NE5532') to restrict hits to that part and avoid cross-part contamination.
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  • Search the Catalunya 2022 - RESET policy document by keyword. Returns up to 10 results with canonical slugs (for follow-up with get_section) and text snippets; "total" carries the full match count. Terms are matched independently with coverage-based ranking; quoted phrases ("energia sostenible") must match exactly. Handles Catalan/Spanish diacritics automatically (e.g., 'educacio' matches 'educació').
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  • List all 91 action proposals from the Catalunya 2022 document, optionally filtered by sphere (1-3) or goal (1-12). Returns actionId, goalId, sphereId, title, slug, and url. Use get_section with the returned slug to read full action content.
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  • When to use: Ingest a Revit (.rvt / .rfa / .rte / .rft) file into Autodesk Platform Services by downloading it from a publicly reachable URL, uploading it to an OSS bucket, and starting an SVF2 translation so downstream revit_* tools can read elements, parameters, sheets, and views. When NOT to use: Do not call if you already have a translated URN (use the existing model_id instead), if the file is not a Revit source file, or if the URL requires authentication the worker cannot satisfy. APS scopes: data:read data:write data:create bucket:read bucket:create viewables:read (OSS bucket create + object PUT + Model Derivative job). Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; OSS uploads size-limited per file to 100MB for direct upload, larger via resumable. Errors: 401 APS token expired — refresh credentials and retry. 403 scope insufficient — request data:write + bucket:create. 404 bucket/object not found — confirm bucket was created. 409 bucket exists — safe to ignore, reuse it. 429 rate limited — back off with exponential delay. 5xx APS upstream — retry with jitter up to 3x, then surface. Side effects: Creates a new transient OSS bucket named scanbim-revit-<timestamp>, uploads the object, and starts a Model Derivative translation job. NOT idempotent — each call creates a fresh bucket and new URN.
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  • When to use: Build a tabular, spreadsheet-style schedule (rows = elements matching a keyword, columns = up to 15 shared parameters) from a translated Revit model — useful for Door Schedules, Wall Schedules, Room Schedules, and QA/QC exports. When NOT to use: Do not use when you only need raw element metadata (use revit_get_elements) or parameter schema (use revit_get_parameters). APS scopes: data:read viewables:read (Model Derivative metadata + properties). Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; OSS uploads size-limited per file to 100MB for direct upload, larger via resumable. Errors: 401 APS token expired — refresh. 403 scope insufficient — add viewables:read. 404 URN not found — check model_id. 429 rate limited — back off. 5xx APS upstream — retry with jitter. Side effects: Read-only. Idempotent.
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  • Full details for a specific bike listing on Cyclesite — specs, condition, frame number presence, photos, delivery, seller's city. Provide the URL slug returned by search_bikes or get_recent_listings. Example: after the user says 'tell me more about that 2022 Trek Domane', call this with the slug from the prior result.
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  • Search detailed documentation for Strudel live coding or ABC/ABCJS notation. Returns relevant code examples and explanations from the official docs. Use this when the curated guides (get-strudel-guide, get-music-guide) don't cover what you need — for specific functions, advanced techniques, or when you're unsure about syntax. Powered by semantic search over strudel.cc and ABCJS docs.
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  • WHEN the drawing must leave as a real BIM file, openable in Revit/ArchiCAD/Solibri — not just a drawing. Draw a building scene and get an IFC4 file: real spatial hierarchy (project/site/building/storeys), each element with a real IFC GUID and a material carrying physical properties (density, thermal conductivity). Doors/windows are classified IfcDoor/IfcWindow and positioned, but no boolean opening is cut in the host wall (documented limitation). Call cao_verifier first. Same scene as cao_generer_dxf.
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  • Search the results archive — completed-match RESULTS from 1968 through 2022: ATP and WTA, main draws, qualifying and the ITF/futures tiers. Winner/loser-shaped records with final score, seeds and ranks AT THE TIME of the match. Use this for historical questions ("Borg's Wimbledon finals"); the archive ends 2022-12-31 where our own results (get_recent_results) begin. Requires the BASIC plan or any History plan.
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  • New rent after the yearly IRL increase; F/G homes are frozen. · Nouveau loyer après la révision IRL annuelle ; les biens F/G sont gelés. — Computes the legally revised rent for a French residential lease using the INSEE IRL (indice de référence des loyers): new rent = current rent × (IRL of the lease's reference quarter ÷ IRL of the SAME quarter one year earlier), loi n° 89-462 art. 17-1. The reference quarter (trimestre de référence IRL) is the one written in the lease — pass it as reference_quarter. Two legal limits are enforced: the revision must be claimed within ONE YEAR of the lease anniversary or it is forfeited for that year, and it is BLOCKED for DPE class F or G (rent freeze since 25 August 2022, loi n° 2022-1158 art. 159) — pass dpe_class to get that check. Deterministic INSEE data + fixed formula — no AI. France métropolitaine.
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