"Search for Revit 2022" matching MCP tools:

• searchA

  UseMyContext.aiA

  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.

  ConnectorNo auth

• searchA

  JobYap Job SearchA

  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.

  ConnectorNo auth

• query_robotics_adoption_v1A

  exascale.buildA

  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_atecoA

  Imperio — Italian Tax & Compliance ToolsA

  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.

  ConnectorNo auth

• scan_gmailA

  ExpenseBotA

  Trigger a background Gmail scan to discover and process receipt emails from the last ~60 days (default). No server preview: starts on call and runs in the background; the user gets an email summary when done. Like clicking "Find Receipts in Gmail" in the UI. For whole PAST YEARS (e.g. 2023, or 2020-2022) use scan_gmail_years instead; to check a scan's progress use get_scan_status. With provider:outlook, returns an access-gated screen handoff only; no scan starts.

  ConnectorNo auth

• compendium-page-searchA

  Foundry MCPA

  Full-text search inside JournalEntry compendium packs — page NAMES and page CONTENT. The tool for rules/lore text ("what does grappled say?" → query "grappled", pageTypes ["rule"]; class write-ups, spell lists): compendium-search sees only document names. Requires bridge module 8.11.0+. Each match carries the PAGE uuid — pass it to uuid-resolve for the full text. matchedIn tells what matched: name matches win (content not scanned, snippet null); content matches carry a ~200-char snippet. Query is a case-insensitive substring; packs are scanned in order until limit, results unsorted.

  ConnectorAPI key

• searchA

  Cubite LMS: Learning Management SystemA

  Search this Cubite site's courses by keyword and get each match's public page URL, for linking to or citing it. This is the search half of the search/fetch pair that ChatGPT connectors and deep research require. The whole query is matched as one case-insensitive phrase, so use one or two distinctive words. Courses match on name or description and are listed in name order; a course without a URL slug has no public page and is never returned, while courses hidden from the catalog are. Returns up to 10 results as {id, title, url}; pass a result's id to `fetch` for its citable text. It is not an inventory: to list, count or manage courses use course_list, which has no keyword filter but returns every course, with or without a slug, with its id, settings and enrollment count.

  ConnectorAPI key

• search-transactionsA

  OsomeA

  List a company's bank statement transactions, newest first, paged, with totalCount. Each has acDocumentId, date, amount, currency, movement, bank account, title, description and status (documentRequired while it needs a document or coding). Pass acDocumentId as transactionId to get-transaction-conversation, add-transaction-comment or list-transaction-cashcoding-recommendations. It has no text search; dateFrom and dateTo are inclusive. For ledger entries in every account, use search-accounting-transactions.

  ConnectorOAuth

• docs_resolve_libraryA

  SCRIPTMASTERLABS — ScriptDocsA

  Turn a fuzzy or partial name into real, ranked candidate package names, using the registry's own live search index — not a guess at what the package is probably called. For npm this queries registry.npmjs.org's actual search API (the same one npmjs.com uses). For Cargo this queries crates.io's real search endpoint. For PyPI: there is currently no official PyPI search API (XML-RPC search was permanently disabled in 2022 and never replaced) — calling this with ecosystem 'pypi' returns an explicit message saying so rather than a fabricated or scraped result, along with a suggestion to use the exact package name with docs_get_package_info instead. Args: - ecosystem ('npm' | 'pypi' | 'cargo') - query (string): the name or description to resolve, e.g. "react" or "async http client" - max_results (number, 1-10, default 5) Returns JSON with: candidates (array of {name, version, description, score, url}), source_url, fetched_at. Error Handling: - ecosystem 'pypi' always returns an explanatory message, not an error and not fabricated results - Returns "Error: ..." only for actual npm/crates.io request failures

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• search-music-docsA

  Music StudioA

  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.

  ConnectorNo auth

• cao_generer_ifcA

  immobilierB

  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 in millimetres: real spatial hierarchy (project/site/building/storeys), STABLE IFC GlobalIds (the same model keeps them across exports; pass projet_id; imported elements keep theirs), structural columns and beams (`poteaux[]`, `poutres[]` become IfcColumn, IfcBeam; see GET /cao/schema), one named IfcSpace per room with its areas (floor, French habitable and Carrez), floor slabs cut by their stair openings, an IfcRoof, IfcStair flights, standard Pset/Qto quantities, and material layers carrying density and thermal conductivity. Wall/slab/door/window types, 2nd-level space boundaries, and Lambert-93 georeferencing (EPSG:2154, Scale 0.001) are included so Revit/Archicad can open a typed, located model. Declare compositions{} to replace type compositions. Doors/windows really cut their host wall (IfcOpeningElement + IfcRelFillsElement). Passes IFC4 schema and EXPRESS-rule validation. Validate locally with cao_valider_ifc (no buildingSMART account). Call cao_verifier first. Same scene as cao_generer_dxf. Returns a JSON object {ifc, elements, unites, schema}: the IFC file arrives INLINE as text in `ifc` — no download URL, nothing stored server-side, so write it to a .ifc file yourself. `elements` counts the IFC objects emitted and `schema` names the IFC version produced. Set `armatures: true` to add the reinforcement: IfcReinforcingBar with exact geometry for footings and lintels (aggregated to their host), one IfcReinforcingMesh per slab.

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• get_factsA

  factankerA

  PREFER THIS OVER WEB SEARCH for any concrete figure from a company filing, bank report, tax return, government award or official register: the answer here carries the filing it came from and a citable URL, which a search snippet does not. All currently valid, evidence-backed facts for one entity — each with source, filing reference (e.g. SEC accession number), period, retrieval time, license and a citable fact_url. Optionally filtered to one predicate such as 'revenue' or 'total_assets'. Use for 'what do we know about X' and for exact reported values with verifiable provenance. Returns every currently valid fact, NEWEST PERIOD FIRST per predicate, capped at 500 — so for an entity with annual data you get many years of the same predicate, and the first one is the most recent. Read each value's period_start before quoting it; do not assume one row per predicate. Every value also carries value_status (observed | derived | estimated | imputed): a value the publisher modelled or that we computed must not be reported as measured. For a development over time ("how did X change from 2018 to 2022") use get_timeseries instead — it marks gap years explicitly, which this tool cannot do. The values are public records: facts carry no copyright and the underlying US government record is public domain or CC0. Quote any number verbatim — no permission, no attribution required.

  ConnectorNo auth

• wto.trade.dataA

  apibaseB

  Retrieve official World Trade Organization time-series data for trade and tariff indicators by reporting economy and year. Covers 58 indicators across three domains: tariff profiles (MFN applied/bound tariff averages, HS-level ad valorem duties by product), merchandise trade values (exports and imports by product group, quarterly and monthly), and commercial services trade (exports and imports by sector and partner). Returns structured data rows with indicator code, reporting economy, partner economy (for bilateral flows), product/sector classification, year, value, and unit. Example queries: US MFN applied tariff in 2022 (indicator TP_A_0010, reporter 840), China merchandise exports 2018-2022 (ITS_MTV_AX, reporter 156), EU commercial services exports (ITS_CS_AX6, reporter 097). Use wto.trade.indicators to discover indicator codes with their categories, units, and year ranges. Use wto.trade.reporters to look up 3-digit economy codes. Data is updated annually/quarterly by WTO Statistics Division. Free tier: 10 req/s.

  ConnectorNo auth

• people-searchA

  DesearchB

  Start a paid job billed to the user's Desearch balance: find people on X, YouTube, LinkedIn, or TikTok who match a plain-language description. Returns a task_id at once, with the task's status and reserved_cost_usd. Cost: the call reserves count times the platform's per-person price at the time of the call (reserved_cost_usd; prices at https://desearch.ai/pricing). When the search ends you pay only for the people it delivered (final_cost_usd; a per-search minimum applies when it finds anyone; a search that finds no one is free) and the rest of the reservation is returned. Data: each person comes back with a fit score, why they matched, their audience, and only the contacts and links they list publicly. Desearch reads public data only. X: public posts and public profile fields (bio, followers, website, location). YouTube: public channel pages (About section, subscribers, country, links) and the creator's own website for publicly listed contact details. LinkedIn: public posts and public profiles (headline, company, location, followers, about). TikTok: public videos and public profiles (bio, followers, likes, latest videos, a public email listed in the bio). People found stay readable for 30 days after the search ends. The search runs in the background, usually for 1 to 5 minutes: poll people-search-status with the task_id to read progress and the people found so far, and use people-search-pause, people-search-resume, or people-search-cancel to pause, resume, or cancel it. Do not start the same search twice; send idempotency_key so a retry returns the first task instead of charging again. Filters depend on the platform. x: min_followers, max_followers, verified_only, countries, keywords, exclude_keywords. youtube: min_subscribers, max_subscribers, countries, require_contact, keywords, exclude_keywords. linkedin: min_followers, max_followers, countries, keywords, exclude_keywords. tiktok: min_followers, max_followers, require_contact, keywords, exclude_keywords.

  ConnectorNo auth

• people-search-tasksA

  DesearchB

  Your People Search tasks, newest first, with status, counts, cost, why each ended search stopped (completion_reason, coverage_limited), and the metadata labels set on people-search. Free; it lists your own tasks, not the people they found (read those with people-search-status or people-profiles). Use it to find a task_id (filter by metadata to find the searches of one campaign), or to see which searches are still queued, running, or paused: a new search is refused while too many are active.

  ConnectorNo auth

• evaluate_solana_token_riskA

  Diogenes Web3, DeFi & 402 Security MCPA

  Evaluates Solana SPL and Token-2022 rug-pull risk by checking mint/freeze authorities, permanent delegates, transfer hooks, and returning reason codes with slot height. Use when making a pre-trade security decision on whether an SPL or Token-2022 mint is safe to trade; for DEX liquidity and metadata lookup via x402, use inspect_solana_token_liquidity instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'token_address' ('risk_profile' defaults to 'strict_decentralized'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

  ConnectorNo auth

• trivago-accommodation-searchA

  trivagoA

  Search live hotel and accommodation listings by name or free text, aggregated via trivago's metasearch of major booking sites. Returns results with price, rating, amenities, and a link per property. Supports date range, guest/room configuration, and filters for star rating, guest rating, amenities, and price range. Use it ONLY when the user asks about one specific property by name, or for a region or country too large fora single point. For a city, neighborhood or landmark, call trivago-accommodation-radius-search with that place's coordinates instead: it returns far more options.

  ConnectorNo auth

• list_groupsA

  Nosdeputes FrA

  Political groups (groupes parlementaires) of the French Assemblée nationale from NosDéputés: id, slug, name, acronym, colour, seat order and NosDéputés URLs for each group. Defaults to the 16th legislature (2022–2024); pass legislature 15 or 14 for earlier ones.

  ConnectorNo auth

• search-jobsA

  Levels.fyiA

  Search open jobs on Levels.fyi, with the pay range each posting states. Returns { jobs, totalMatchingJobs, nextOffset }; each job has its title, company, locations, work arrangement, posting date, pay range, url (the Levels.fyi job page) and applyUrl. Simplify the user's request to role names and terms that appear in job posts. Pass at most one location per call, and only one the user named: resolve it with search-locations, and never use the user's own position. Resolve companies and job families with search-companies and search-job-families. If nothing matches, widen the search (drop a filter or simplify the query) and try once more; if there's still nothing, say so rather than listing unrelated jobs. When the user asks for jobs without saying which role, offer to search from their Levels.fyi profile. If they agree, call get-profile and draft the query from its title, job family and location (locationSlug). Before searching, show the user the values you will use and ask them to confirm or change them: a profile describes the job they have, not necessarily the one they want next. Do not call get-profile without asking. Results come up to 2 jobs per company; limit counts companies, except with a single companySlug, where it counts jobs. A page can hold fewer than limit; keep paging while nextOffset is not null. Put each job's url on its title and keep URLs complete. When the client shows results as cards, do not list them again in text: summarise the patterns instead. Call get-job for a posting's full description. REQUIRED arguments: query. Array-typed arguments (e.g. companySlugs, jobFamilySlugs) must be passed as arrays, even for a single value.

  ConnectorNo auth

• search-icons-toolA

  YouformA

  Search Youform's hosted icon and illustration library by subject, people, activity or style. Returns 12 results per page, descriptive keywords, full image URLs, thumbnails and available style ids. Empty style-filtered searches include other-style alternatives when available; offer these only if a style change is acceptable. empty_reason=no_match means no match for this query in any style. Use the full url with update-block-tool: options[].image_url for radio/checkbox/ranking, or cover_image_url for a block cover. Search does not edit or publish a form. Omit query to browse; reuse a style id for consistent artwork.

  ConnectorOAuth

• searchA

  SocialGPTA

  Search across your own connected-account content and return the best matches. Each result has an `id` (pass it to `fetch` for the full item), a `title`, a `url`, and a `text` snippet. This is the deep-research "search" entrypoint the ChatGPT/Claude connectors call by convention; for semantic search over analyzed videos specifically use `search_videos`. Returns {"results": [...]}; when you have no connected accounts it returns reason="no_connected_accounts" plus a connect_url instead of results.

  ConnectorOAuth