"How to use Google Search" matching MCP tools:

• searchA

  TunnelMind Data APIB

  Searches both the domains table and the entities table simultaneously. Returns matching domains (by domain name) and entities (by name or slug) in a single response. Minimum 2 characters, maximum 100 characters. Use this tool when: - You have a partial name and need to identify what tracker or entity it belongs to. - You want to find all TunnelMind records related to a company name like "Google" or "Oracle". - You are resolving an ambiguous domain (e.g., does `criteo.com` appear in the tracker DB?). Do NOT use this tool when: - You know the exact domain — use `get_domain` instead (faster, more complete). - You know the exact entity slug — use `get_entity` instead. - You want to browse by category or industry — use `list_domains` or `list_entities`. Inputs: - `q` (query, required): Search string, 2-100 characters. Matched against domain names and entity names/slugs. Returns: - `domains`: array of matching domain records (list item format). - `entities`: array of matching entity records (list item format). - Both arrays may be empty if no matches found. No pagination — results are capped at 20 per type. Cost: - Anonymous (no key): 10/min, 100/day. Free key: 50/day. Pro/enterprise: included in plan. Latency: - Typical: <200ms, p99: <500ms.

  ConnectorNo auth

• 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.

  ConnectorOAuth

• 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

• adsap_google_create_demand_gen_campaignA

  AdsapA

  Create a complete Google Ads Demand Gen campaign (YouTube, Discover, Gmail, Maps and the Google Display Network) in ONE atomic request: budget, campaign (ALWAYS created PAUSED — activate later with adsap_google_set_entity_status), a typeless ad group with channel controls, ad-group-level location/language targeting, and ONE ad. Use dry_run: true first — Google validates the whole chain without creating anything; show the plan, get confirmation, then execute. Two ad types (ad.ad_type): 'multi_asset' = image ad (1-5 headlines <=30 chars, 1-5 descriptions <=90, business name <=25, 1-5 logos, at least one landscape 1.91:1 or square 1:1 image from adsap_google_upload_asset, optional portrait 4:5 and tall-portrait 9:16, combined images <=20); 'video_responsive' = YouTube video ad (1-5 YouTube video ids, 1-5 headlines <=40, 1-5 long headlines <=90 REQUIRED, 1-5 descriptions <=90, 1-5 logos). Daily budget minimum is 5 (Google enforces a 5 USD local-currency-equivalent floor for Demand Gen). Channels: default ALL_CHANNELS; or channels.selected booleans (youtube_in_stream/youtube_in_feed/youtube_shorts/discover/gmail/display/maps — display: true is how you reach the Google Display Network). bidding_strategy 'auto' picks maximize_conversions when the account has conversion tracking, else maximize clicks; target_roas needs conversion history (Google rejects otherwise). ad_account_id is the bare 10-digit customer ID. For Search use adsap_google_create_search_campaign, for Performance Max adsap_google_create_pmax_campaign; for Meta use adsap_create_campaign.

  ConnectorAPI key

• adsap_google_create_app_campaignA

  AdsapA

  Create a complete Google App campaign in ONE atomic request: budget, campaign (ALWAYS created PAUSED — activate later with adsap_google_set_entity_status), location + language targeting, an ad group, and the app ad. App campaigns promote a mobile app across Google Search, Google Play, YouTube, Discover and the Display Network — Google mixes the ad from your text (and optional media) automatically. The ad links to the app's store listing AUTOMATICALLY: there is no URL input, ever. Any PUBLIC store app id works (no app ownership or Play/Firebase link is required to create): Android app_id is the package name (e.g. com.example.app), iOS app_id is the numeric App Store id (e.g. 570060128) with app_store 'apple_app_store'. v1 optimizes INSTALLS at your target_cpi (target cost per install, plain number in the account currency); Google recommends a daily_budget of roughly 50x target_cpi — lower is allowed but slows learning (a warning says so). Text: 2-5 headlines (max 30 chars) + 1-5 descriptions (max 90). Optional media: image_asset_ids / video_asset_ids from adsap_google_upload_asset (images 1.91:1, 4:5 or 1:1 up to 5MB; videos are YouTube assets 10-60s) — text-only is fully valid. In-app-action, value, engagement and pre-registration goals are NOT supported in v1. If the account has no conversion tracking a warning is returned — relay it (Android installs normally auto-track once a Google Play link exists). Use dry_run: true first — Google validates the whole chain without creating anything; show the plan, get confirmation, then execute. ad_account_id is the bare 10-digit customer ID. For website campaigns use adsap_google_create_search_campaign / adsap_google_create_pmax_campaign; for Meta app ads use adsap_create_campaign with an app objective.

  ConnectorAPI key

• search_use_casesA

  The AI Integration HubA

  Search 1,000+ vetted AI use cases by keyword, industry, or business workflow (e.g. 'invoice', 'dental', 'customer support'). Use when someone asks how AI can help their business, wants AI ideas for an industry, or looks for automation opportunities. Also use it to find the slug before get_agent_playbook or run_agent. Returns titles, summaries, and links. Public: no sign-in.

  ConnectorNo auth

• keyword_search_volumeA

  SEO and Keyword Data APIA

  Google search volume, CPC, competition, keyword difficulty and intent for up to 20 comma-separated keywords in one $0.04 GET (Google Ads data). Use when you need monthly search volume for a few keywords in a country. volume = avg monthly searches, cpc in USD, competition 0-1, difficulty 0-100. Up to 100 keywords for the same $0.04: POST /v1/keyword-overview. Keywords without data are listed in missing (still charged). Bad input is free; upstream errors are not charged. Price: $0.04 per successful call, paid over x402 (USDC on Base); pass the payment in _meta["x402/payment"].

  ConnectorNo auth

• check_ideaA

  VarynForgeA

  Attach real search data to one article idea that is already in the project — runs one live Google search per target keyword and returns volume bands and the pages currently ranking for each. Use after create_article_suggestion_with_input, or on any existing suggestion the operator wants judged on data instead of instinct. Opportunity score and cluster placement are returned only when the project has a completed research run to compare against; on a project without one they are absent, and start_research_run is what produces them. Do not use to find new ideas or map a niche — that is start_research_run. Consumes no credits; daily- and monthly-capped per account.

  ConnectorNo auth

• searchA

  The Chancery Lane ProjectA

  Search the TCLP knowledge graph using fusion search (semantic + BM25). Args: query: Free-text search query (max 1000 characters). node_type: Content scope — "tclp" (clauses, glossary terms, guides) or "all". Laws, regulations, standards and frameworks are not searchable here: use `find_legal_resources`. content_type: Return only one content type: "clause", "glossary_term" or "guide". Omit to search every type. limit: Maximum number of results to return (1–50). rerank: Whether to apply RRF reranking when combining graph and text results. include_full_text: Include each hit's full body text (Markdown). Off by default — bodies are large; request only when you need the content, and prefer a small `limit` when you do. Returns: JSON with "meta" (totals, timing) and "results" (ranked hits with title, url, content_type, scores, summary, optionally relationships_text, related and full_text). `summary` is short plain text: the clause summary, the first paragraph of a glossary definition, or a guide's excerpt. It is null when the item has none. `child_name` is a clause's child name (e.g. "Odhran's Clause"), null for other content and for a clause that has none; text search also matches it. Each hit's "references" lists the instruments it cites: pass a reference's `work_id` to `get_legal_resource` for details. A reference's `edge` (governs, references, describes) says how the content relates to the instrument; it is not a statement of the instrument's legal effect. An empty list means the hit cites no instruments. null with "lrsf" in meta.degraded means references could not be loaded: do not conclude that the hit cites no instruments.

  ConnectorNo auth

• searchA

  tclp-mcpA

  Search the TCLP knowledge graph using fusion search (semantic + BM25). Args: query: Free-text search query (max 1000 characters). node_type: Content scope — "tclp" (clauses, glossary terms, guides) or "all". Laws, regulations, standards and frameworks are not searchable here: use `find_legal_resources`. content_type: Return only one content type: "clause", "glossary_term" or "guide". Omit to search every type. limit: Maximum number of results to return (1–50). rerank: Whether to apply RRF reranking when combining graph and text results. include_full_text: Include each hit's full body text (Markdown). Off by default — bodies are large; request only when you need the content, and prefer a small `limit` when you do. Returns: JSON with "meta" (totals, timing) and "results" (ranked hits with title, url, content_type, scores, summary, optionally relationships_text, related and full_text). `summary` is short plain text: the clause summary, the first paragraph of a glossary definition, or a guide's excerpt. It is null when the item has none. `child_name` is a clause's child name (e.g. "Odhran's Clause"), null for other content and for a clause that has none; text search also matches it. Each hit's "references" lists the instruments it cites: pass a reference's `work_id` to `get_legal_resource` for details. A reference's `edge` (governs, references, describes) says how the content relates to the instrument; it is not a statement of the instrument's legal effect. An empty list means the hit cites no instruments. null with "lrsf" in meta.degraded means references could not be loaded: do not conclude that the hit cites no instruments.

  ConnectorNo auth

• get_directory_statisticsA

  Game Dev Outsourcing DirectoryA

  Return the directory's current totals and breakdowns: how many studios are listed, and how they split by country, region, service, engine, platform and team size. Use for any "how many studios..." or "which country has the most..." question, and quote these figures rather than counting search results yourself — they are recomputed from the live database and the counts move.

  ConnectorNo auth

• searchA

  recordariA

  Search memories by keyword. The query must use vocabulary that appears in stored labels, descriptions, or tags — not intent summaries or paraphrases. Pass node_kind (space-separated) to list or search within specific kinds — unrelated kinds that happen to match query text are excluded. Omit query with node_kind set to list matching kinds ordered by most-recently-updated. Default limit: 10. Use exact=true for identifiers (ticket numbers, short codes with hyphens) — FTS tokenises hyphens away so 'PROJ-042' is not found by default. If search returns zero or truncated results, use orient (with domain) to browse all memories, then recall by ID, then follow connections from a known memory. Returns lean results only — id, label, and a truncated why_matters excerpt; call recall(id) for full content. When a list or section has 2 or more results, each is rendered as a single compact text line — "[id] label — excerpt (domain, node_kind)" — instead of a JSON object; exactly one result is returned as a full object. exact=true is exempt — it always returns full objects, regardless of result count. state (space-separated union) post-filters results to memories with any of the given lifecycle states: none | resolved | superseded | contested. Response always includes semantic_attempted (bool: true when embed() succeeded and the vector path was entered) and semantic_best_dist (float|null: cosine distance of the top result after filtering, null when no vector rows were returned). Use these to diagnose whether Bedrock was available and how close the best match was. On failure, content[0].text is JSON: {"error_class": "retryable|forbidden|internal", "message": "..."}. Switch on error_class: retry on retryable.

  ConnectorAPI key

• adsap_google_create_pmax_campaignA

  AdsapA

  Create a complete Google Ads Performance Max campaign in ONE atomic request: budget, campaign (ALWAYS created PAUSED — activate later with adsap_google_set_entity_status), location/language targeting, and one asset group with text assets plus images previously created via adsap_google_upload_asset. Use dry_run: true first — Google validates the whole chain without creating anything; show the plan, get confirmation, then execute. Asset-group minimums (enforced): 3-15 headlines (<=30 chars), 1-5 long headlines (<=90), 2-5 descriptions (<=90, at least one <=60), business name (<=25), 1-5 logo images (1:1, min 128x128), 1-20 landscape images (1.91:1, min 600x314), 1-20 square images (1:1, min 300x300). Video is optional — without one, Google may auto-generate video from your assets. bidding_strategy 'auto' resolves to maximize_conversions with a conversion-tracking preflight warning when the account has no conversion actions. retail: true attaches the account's ACTIVE Merchant Center link (fails cleanly if none). ad_account_id is the bare 10-digit customer ID. For Search campaigns use adsap_google_create_search_campaign; for Meta use adsap_create_campaign.

  ConnectorAPI key

• adsap_google_create_ad_groupA

  AdsapA

  Add an ad group to an EXISTING Google Ads campaign (Search, Display or Demand Gen) in ONE atomic request: the ad group, optional keywords (Search only) and optionally one ad. This is the only tool that adds structure to an already-created campaign — the create-campaign tools always build a fresh campaign. Declare `channel` to match the campaign's type (SEARCH -> 'search', DISPLAY -> 'display', DEMAND_GEN -> 'demand_gen' — from adsap_google_list_campaigns); the workflow verifies the campaign exists and rejects mismatches (PMax uses asset groups and is NOT supported; App/Shopping ad groups are also unsupported). SAFETY: if the parent campaign is ACTIVE the new ad group is created PAUSED by default so it never starts spending unreviewed — pass ad_group.status 'ENABLED' to override; if the campaign is PAUSED the ad group is created ENABLED (the campaign gates serving). Per channel: SEARCH — ad_group.keywords [{text, match_type EXACT|PHRASE|BROAD}] (optional but the group gets no traffic without them) and an optional responsive search ad (3-15 headlines max 30 chars w/ optional pinned_field, 2-4 descriptions max 90, final_url, path1/path2). DISPLAY — optional optimized_targeting flag and an optional responsive display ad (same shape as adsap_google_create_display_campaign's ad: >=1 landscape AND >=1 square image asset id, 1-5 headlines, exactly 1 long_headline, 1-5 descriptions, business_name, final_url). DEMAND_GEN — geo is REQUIRED at the AD GROUP level (ad_group.geo.location_ids; unlike Search/Display where geo is campaign-level and cannot be set here), plus optional language_ids, channel controls (ad_group.channels.strategy or .selected) and an optional 'multi_asset' image ad or 'video_responsive' YouTube ad (same shapes as adsap_google_create_demand_gen_campaign). An ad group created WITHOUT an ad will not serve until an ad is added. EXISTING-GROUP MODE: pass ad_group_id INSTEAD of ad_group to add ONE responsive search ad to an ad group that already exists (Search only; `ad` becomes required; ad.status defaults to PAUSED — pass ENABLED to create it serving; the workflow verifies the group exists, is not removed, and belongs to campaign_id). Use dry_run: true first — Google validates the whole chain without creating anything. ad_account_id is the bare 10-digit customer ID.

  ConnectorAPI key

• adsap_google_manage_keywordsA

  AdsapA

  Manage Google Ads Search keywords AFTER creation. op 'add': add up to 100 keywords (and/or ad-group negatives via negative: true) to an EXISTING ad group — atomic batch, per-keyword optional cpc_bid. op 'add_negative': add campaign-LEVEL negative keywords (block queries across every ad group in the campaign). op 'replace': change one keyword's text and/or match type ATOMICALLY (Google keyword text/match type are immutable, so this is remove + re-add in one request — the keyword gets a NEW id and its performance history restarts; status and bid carry over). op 'remove': remove one ad-group keyword/negative (keyword_id) or one campaign negative (campaign_negative_id). Ids are composite "<parent_id>:<criterion_id>" — ad-group keyword ids come from adsap_google_get_insights level keyword; created ids are returned by the add ops. Always dry_run: true first. For pause/enable use adsap_google_set_entity_status; for per-keyword bid changes alone use adsap_google_update_entity with updates.cpc_bid.

  ConnectorAPI key

• search_contactsA

  AccountHubA

  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

• list_contactsA

  AccountHubA

  Browse ALL of the user's SAVED Google Contacts for one account, one page at a time — unlike search_contacts, no query is needed, so this is how to see the whole address book (or find someone when a name search comes up empty/ambiguous). Returns each contact's name, primary email, full email list, and a `next_page_token`: pass that back as `page_token` to fetch the next page, and stop once it's null. Only ONE account per call (pagination is per-account) — pass `account` when more than one Contacts-enabled Google account is connected (call list_accounts to learn labels); it auto-resolves when only one is connected.

  ConnectorOAuth

• seo_get_serpA

  Manifold MCPA

  The top organic results and SERP features Google shows for one query. Use when: "what ranks for X", "who is on page one for X", "is there a featured snippet or AI overview for X". Not for: where one site ranks for a keyword, use seo_get_position (it scans the top 100 for you). Keyword ideas, use seo_search_keywords. The businesses Google Maps ranks for a local search, use maps_search_places. Returns: Record. features[] (featured_snippet, people_also_ask, video, ai_overview and others), results[] (rank, organic_rank, type, url, domain, title, snippet, published_at, rating), related_searches[], ai_overview (text, references[]) or null, results_count, check_url. depth counts organic rows: the default returns 10 organic results whenever Google has them, with the features ranked among them on top. Each People Also Ask question and each forum thread is its own row at its block's rank; for a question, title is the question and snippet the answer, url null when Google's answer is an AI overview. domain is null on a row whose url is still a google.com/goto redirect. location localises the local pack, not the organic rows of a bare service search: put the town in the keyword ("dentist columbus ohio") for local organic results. Paid ads seldom come back, so the page says nothing about who bids on the query; a named rival's search ads are in ads_get_advertiser_ads with platform google. Cost: 1 credit per 10 results, +1 with ai_overview. Default top 10 = 1 credit. Cached 24 hours. Example: {"keyword": "hubspot alternative", "depth": 10, "ai_overview": true}

  ConnectorAPI key

• ads_search_advertisersA

  Manifold MCPA

  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

• datasets_apps_charts_searchA

  Crawlora MCPB

  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

• 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