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685,661 tools. Updated 2026-10-21 13:27

"Searching for information using Google or a similar platform" matching MCP tools:

  • Find creators SIMILAR to one or more seed creators. Use this when the user already knows a creator they like and wants more like them (e.g., "find creators like @therock", "find more creators like these three I just booked"). Seeds are blended via creator-profile + visual-style + fact embeddings to surface similar accounts. Seeds are passed in `seed_creator_ids` (canonical UUIDs) and/or `seed_profiles` (platform + username; resolve handles via `autocomplete_creators` first if needed). Returns a ranked list of similar creators with scores. `limit` caps results (default 25, max 100). Use the flat follower, engagement-rate, and verified fields to constrain results. A `seed_not_found` response means the supplied creator is not available for similarity matching; choose another seed instead of retrying it. Use `semantic_search_creators` instead when you have a topic/niche but no seed. Use `match_creators` when you have specific candidates and want to score their fit against a brief. Examples: - User: "Find creators like @niickjackson on Instagram" -> use this tool with `seed_profiles: [{ platform: "instagram", username: "niickjackson" }]`. - User: "Find news creators with 1M+ followers" -> use `semantic_search_creators`, not this tool.
    ConnectorNo auth
  • Find creators SIMILAR to one or more seed creators. Use this when the user already knows a creator they like and wants more like them (e.g., "find creators like @therock", "find more creators like these three I just booked"). Seeds are blended via creator-profile + visual-style + fact embeddings to surface similar accounts. Seeds are passed in `seed_creator_ids` (canonical UUIDs) and/or `seed_profiles` (platform + username; resolve handles via `autocomplete_creators` first if needed). Returns a ranked list of similar creators with scores. `limit` caps results (default 25, max 100). Use the flat follower, engagement-rate, and verified fields to constrain results. A `seed_not_found` response means the supplied creator is not available for similarity matching; choose another seed instead of retrying it. Use `semantic_search_creators` instead when you have a topic/niche but no seed. Use `match_creators` when you have specific candidates and want to score their fit against a brief. Examples: - User: "Find creators like @niickjackson on Instagram" -> use this tool with `seed_profiles: [{ platform: "instagram", username: "niickjackson" }]`. - User: "Find news creators with 1M+ followers" -> use `semantic_search_creators`, not this tool.
    ConnectorNo auth
  • Stage campaign changes for review. Does NOT execute anything. Each operation: {"platform": "google_ads"|"meta_ads", "level": "campaign"|"ad_set"|"ad" (default campaign; ad_set = Google ad group), "object_id": "<id of that object>", "set": {"daily_budget": <number, MAJOR account-currency units>, "status": "ACTIVE"|"PAUSED"}, "account_id": optional, for multi-account companies}. daily_budget: Meta campaign or ad set, Google campaign only (Google ad group spend is governed by the campaign budget). Ads take status only. Returns proposal_id + a current→new diff preview. Show the preview to the user; call apply_change(proposal_id) only after they confirm. Proposals expire in 1h.
    ConnectorAPI key
  • Search the user's Google Contacts (saved contacts + Google's auto-collected "other contacts") across all connected Google accounts, by name (or partial name/email). Returns each match's name, primary email, full email list (for people with several addresses), and source ('contact' = saved, 'other' = auto-collected). Use this to resolve a person's NAME to an email address before composing/sending a message — on 0 matches, fall back to searching past message history or ask the user directly; on multiple matches, ask the user which one before proceeding. Accounts without the contacts scope are skipped and reported in `errors` with a reconnect hint. Call list_accounts to learn account labels. Read-only — no contact writes.
    ConnectorOAuth
  • Search stored daily top-chart snapshot records from the iOS App Store and Google Play; omitting `date` selects the latest snapshot. Costs 1 credit per record returned (minimum 2), so keep `page_size` to what you need. Filter by app, store, platform, chart, country, or category; use datasets_apps_search for app records or datasets_apps_reviews_search for stored reviews.
    ConnectorNo auth
  • Search stored daily top-chart snapshot records from the iOS App Store and Google Play; omitting `date` selects the latest snapshot. Costs 1 credit per record returned (minimum 2), so keep `page_size` to what you need. Filter by app, store, platform, chart, country, or category; use datasets_apps_search for app records or datasets_apps_reviews_search for stored reviews.
    ConnectorNo auth

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  • Oregon DMV MCP — live wait times at all 60 Oregon DMV field offices, plus the office

  • Webhooks, streaming and the AI interpretation endpoints.

  • Find historically similar audience moments across the screen network using embedding similarity search. Input a natural-language description of the target moment. Moment embeddings are 768-D vectors generated from multi-modal observation data (visual, audio, environmental, social) via the MomentEmbeddingService. This tool embeds your query text and finds the closest real-world moments via approximate nearest-neighbour (ANN) cosine similarity over a Lance IVF_PQ index. CONSISTENCY: results are APPROXIMATE and EVENTUALLY CONSISTENT. - Approximate: retrieval is ANN, not an exhaustive scan (measured recall ~0.96 against exact KNN), so an identical query may omit a borderline match. - Eventually consistent: the index is served from a replicated pool whose replicas refresh independently, so for up to 5 minutes after new moments are published, two identical calls may return slightly different result sets. The difference is confined to the VISIBILITY of newly-published moments; the relative ranking of already-visible ones does not change. Do not use this tool where a repeatable, exhaustive result set is required. WHEN TO USE: - Searching for historical moments similar to a target scenario - Finding "moments like this one" across different venues/times - Discovering when similar audience compositions or behaviors occurred - Planning ad placements based on past similar contexts RETURNS: - data: Array of matching observations with similarity scores - observation_id, observed_at, venue_type, device_id, screen_mongo_id - payload: full observation data - evidence_grade: quality of observation - similarity: cosine similarity score (0-1, higher = more similar) - metadata: { result_count, embedding_model, min_similarity_threshold } - suggested_next_queries: Follow-up queries EXAMPLE: User: "Find moments with high engagement in evening restaurants with families" find_similar_moments({ query: "evening restaurant venue with families present, high emotional engagement and attention" }) User: "When did we see young adults highly engaged at transit screens?" find_similar_moments({ query: "transit venue morning commute young adults high attention" })
    ConnectorNo auth
  • Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.
    ConnectorNo auth
  • Find similar or competitor websites based on classification. Takes a URL, classifies it (or uses cached classification), and returns other websites from the same category and subcategory. Useful for competitive analysis and discovering related content. Rate limited to 1 request per minute per domain. Args: url: The website URL to find similar sites for. limit: Maximum number of similar sites to return (1-50, default 10). Returns: Dictionary with: - url: The input URL (normalized) - classification: The URL's category and subcategory - similar_sites: List of similar URLs from the same category - total_in_category: Total sites in this category/subcategory - cached: Whether the classification was from cache
    ConnectorNo auth
  • Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.
    ConnectorNo auth
  • Identify a game from a description of what the user remembers (plot, look, platform, era). Returns ranked candidates with a reason each, a `confidence`, and `find_game_url`: imho.run's /find-game page with the description filled in (the user presses the button; nothing runs by itself). Pass what the user said about the platform, the release years and the camera as `platform`, `year_min` / `year_max` and `perspective` instead of leaving them only in the text. When `confidence` is not high or no result fits, give the user `find_game_url` so they can add details there. Slow (LLM) and rate-limited: use it only when the user does not know the title; for games similar to a known game use games_like or recommend. Games rated for adults only (explicit sexual content) are not covered; filtering is best effort.
    ConnectorNo auth
  • List every Stimulsoft product/platform that has indexed documentation available through this MCP server. Returns a JSON array of { id, name, description } objects covering the full Stimulsoft Reports & Dashboards product line (Reports.NET, Reports.WPF, Reports.AVALONIA, Reports.WEB for ASP.NET, Reports.BLAZOR, Reports.ANGULAR, Reports.REACT, Reports.JS, Reports.PHP, Reports.JAVA, Reports.PYTHON, Server API, etc.). CALL THIS FIRST when the user's question is ambiguous about which Stimulsoft platform they are using, or when you need to pick a valid `platform` value to pass into `sti_search`. The returned platform `id` values are the exact strings accepted by the `platform` parameter of `sti_search`. This tool is cheap (no OpenAI call, no vector search) — call it freely whenever you are unsure about platform naming.
    ConnectorNo auth
  • List every Stimulsoft product/platform that has indexed documentation available through this MCP server. Returns a JSON array of { id, name, description } objects covering the full Stimulsoft Reports & Dashboards product line (Reports.NET, Reports.WPF, Reports.AVALONIA, Reports.WEB for ASP.NET, Reports.BLAZOR, Reports.ANGULAR, Reports.REACT, Reports.JS, Reports.PHP, Reports.JAVA, Reports.PYTHON, Server API, etc.). CALL THIS FIRST when the user's question is ambiguous about which Stimulsoft platform they are using, or when you need to pick a valid `platform` value to pass into `sti_search`. The returned platform `id` values are the exact strings accepted by the `platform` parameter of `sti_search`. This tool is cheap (no OpenAI call, no vector search) — call it freely whenever you are unsure about platform naming.
    ConnectorNo auth
  • Fetch the result of an itinerary_quote using the quoteReference it returned. Call it straight away: it waits up to about 40 seconds for a quote that is still pricing, then returns the finished options, or status 'pending' if the quote needs one more call. Costs nothing and does no searching, so call it again rather than starting a second quote.
    ConnectorNo auth
  • Films or shows similar to a given one: merged similar + recommendations, deduplicated. Accepts title, TMDB id or IMDb id - provide only one. Use for 'like Whiplash what should I watch' questions. Do NOT use for genre browsing (use movies_discover).
    ConnectorNo auth
  • Turn product rows into a platform-valid product feed: Meta (Facebook and Instagram) RSS 2.0, Google Merchant RSS 2.0, Atom 1.0 or generic RSS 2.0, using the g: namespace where the platform expects it. Each row is validated (required fields, price as 12.99 GBP, availability and condition values, http links, unique ids); rows that fail are skipped and listed. Returns the XML, counts and errors. Source: https://hopi.co.uk/product-feed-generator/
    ConnectorNo auth
  • The advertisers matching a brand name in Google's ad library, with their ids. Use when: before ads_get_advertiser_ads on Google, because that library is keyed by advertiser id and one brand has one entry per region. Not for: the ads themselves, use ads_get_advertiser_ads with the id this returns. The other libraries, which search their ads directly with ads_search_ads. Returns: List. rows[]: platform, id, name, region, ads_estimate, website. Cost: 1 credit. Cached 7 days. Example: {"platform": "google", "query": "lululemon", "region": "US"}
    ConnectorAPI key
  • Never send more than 3 search_flight_prices calls in one turn: calls beyond 3 are rejected without searching. Search for flight itineraries with prices between two airports on a date using Google Flights. Returns available itineraries with prices, durations, airlines, layovers, and ranked route-search actions. Ages 12-17 are mapped as adults where a provider requires it; ages 0-1 are infants whose lap-versus-seat placement and provider policy must be confirmed before booking. Each account runs one search at a time; the second and third wait their turn and still return results. When the user names several airports, destinations, dates or trip lengths, search the 1 to 3 most likely combinations first (or one outbound_end_date range of up to 7 days), show the results, then ask before searching more. A queued or slow search returns lookupStatus pending with retry_after_seconds; it keeps its place and finishes on its own, so repeat the identical call after that wait to get its result. When the user rules out airlines or connection airports/countries, pass include_airlines/exclude_airlines/avoid_connection_airports/avoid_connection_countries so excluded routes are removed. Fares carry no baggage allowance: never claim a fare includes bags.
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  • Fetch detailed Google Maps information for a known `place_id`. Use google_map_search to find places or google_map_place_photos and google_map_place_reviews for the full photo and review data.
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  • Post a public reply to a comment on its originating platform. The reply is published immediately. Platform length limits: Instagram 2200, Facebook 8000, LinkedIn 1250, Google Business 4096 characters. Cannot reply to hidden comments. On success, the parent comment's `brandReplied` flag is set to true. For LinkedIn, pass the raw URN as platformCommentId, without URL encoding.
    ConnectorOAuth