"An MCP for interacting with Google Chrome DevTools and aiding in scraping" matching MCP tools:

• word_createA

  Local MCPB

  Creates a new Word (.docx) document at `path` with the given text content (and an optional title rendered as the heading). The path must be somewhere LMCP can write; Desktop/Documents/Downloads may need a one-time Files-and-Folders grant (System Settings → Privacy & Security → Files and Folders). Returns {created, path}. For a OneDrive or Google Drive path use onedrive_write_file / gdrive_write_file; to append to an existing doc use word_append, to read one word_read.

  Connector

  Destructive

  OAuth

• 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

• enable_login_providerA

  Multiplayer AgentA

  Let players sign in with a portal or federated account via player.loginExternal({ provider, token }). Self-serve providers: 'wavedash' (games on wavedash.com; token = (await Wavedash.getUserJwt()).data) and 'google' (Google Identity Services; token = the GIS ID-token credential). The server verifies every token against fixed, provider-published keys; you only supply public pins. wavedash: pass gameId = the gcid of the user's PRODUCTION game (ask them; or read it off a production token with verify_login_token); without it, tokens from any Wavedash game (incl. playtests) are accepted. google: clientId is required. Re-run to change the config (e.g. once the game id is known). Then verify with verify_login_token.

  ConnectorNo auth

• create_guidesA

  serpmanticsA

  Create new guides Create one or more new guides based on provided queries. Each guide targets exactly ONE engine and ONE analysis mode, chosen with the optional `source` field (default `google`). How to request each guide type: 1. Google SERP guide (1 credit per guide): omit `source`, or pass `source: "google"`. Example payload: {"queries": ["best crm"], "lang": "en-us"} 1bis. Google AI Overview guide (1 credit per guide). Two modes, like AI engines: `source: "google_ai_overview"` builds the guide from the TEXT of Google's AI answers (AI Overview, completed with AI Mode answers) ; `source: "google_ai_overview_citations"` builds it from the content of the web SOURCES those answers cite (recommended for GEO). Same language/country parameters as a Google SERP guide, 1 credit per guide in both modes. Example payload: {"queries": ["best crm"], "lang": "en-us", "source": "google_ai_overview_citations"} 2. LLM ANSWER guide (4 credits per guide): pass the engine name alone, e.g. `source: "chatgpt"`. The guide is built from the answer text the AI generates for the query. Example payload: {"queries": ["best crm"], "lang": "en-us", "source": "chatgpt"} 3. LLM CITATIONS guide (4 credits per guide) [RECOMMENDED AI mode]: pass the engine name with the `_citations` suffix, e.g. `source: "chatgpt_citations"`. The guide is built from the content of the web pages the AI cites in its answer. Example payload: {"queries": ["best crm"], "lang": "en-us", "source": "chatgpt_citations"} Which AI mode to pick? For GEO (getting a page visible in AI answers), prefer `<engine>_citations`: AI engines send traffic by CITING pages as sources, so the winning move is to look like the pages they cite. The answer-text mode (`<engine>` alone) is mostly useful to analyze how the AI phrases its own answer. When in doubt, pick `<engine>_citations`. The same two modes exist for every AI engine (chatgpt, perplexity, claude, gemini, grok, mistral, deepseek). To optimize the same page for several engines or modes (e.g. Google AND ChatGPT answers AND ChatGPT sources), create one guide per source value on the same query. IMPORTANT, HOW TO READ THE RESPONSE OF THIS ENDPOINT, WHICH SPENDS CREDITS. Queries listed in `guidesFailed` are PROVEN not to have produced a guide and their credit was given back (unless the account has unlimited credits, where nothing was reserved): re-sending them is free and correct. Queries listed in `guidesUnknown` have an UNDECIDABLE outcome and their credit is deliberately KEPT, because the guide was most likely written: DO NOT re-send them, you would pay for the same guide twice. Look them up in `GET /api/v1/guides` after a few minutes instead, and contact support if nothing shows up. Finally, a `200` is NOT a promise that every query produced a guide: compare `guides.length` with the number of queries you sent, never read `success` alone, and never re-send a query just because it is missing from `guides`.

  ConnectorNo auth

• search_stopover_itinerariesA

  stopover-plannerA

  Find complete multi-day stopover itineraries between two cities: an outbound leg, 1 to 7 days in an intermediate hub city, then the onward leg, priced as one trip from live Google Flights data (GBP) with a booking link on every leg. One call evaluates dozens of hub cities and date splits. Runs as a background job: returns a jobId immediately; poll get_job_result every few seconds until status is done.

  ConnectorNo auth

• tp_search_parksA

  Total ParksA

  Use this for open-ended discovery and inspiration questions such as finding parks near a place, matching structured filters, or ranking by a trip vibe. Accepts structured search.v1 geo, filter, vibe, paging objects, and natural_language original wording, and returns lightweight public property_ref/property_url candidates with matched signals, channel_state and canonical actions. Request to Book sends an unconfirmed request to the park; directory-only results have a neutral View park handoff. Fill structured fields you are confident about and also pass the traveller's phrasing in natural_language; structured geo/filter/vibe fields take precedence, and natural_language only augments deterministic alias recovery and vibe ranking. This tool resolves places with geo.type='place' and geo.query, and family-friendly prompts should use the soft vibe.traveller_appeal=['families'] preference rather than an unsupported hard family_friendly filter. To filter on amenities or curated highlights (campfires, pools, pet-friendly, waterfront, etc.), call tp_search_filter_options to discover the catalog, then pass filter.feature_names/filter.highlight_names; the server resolves them to canonical feature_ids/highlight_ids. For room/site option wording such as ensuite, drive-through, slab, powered, unpowered, tent-only, accessible, spa, pet-friendly cabin, or pet-fee, set filter.option_facets and still include the traveller's original wording in natural_language. For off-site needs, use filter.local_proximity entries with a topic and maximum straight-line kilometres. Supported topics are supermarket, pharmacy, boat_ramp, dump_point, ev_charging, beach, and brewery; multiple entries are ANDed. Explicit distances take precedence, while clear near or close wording in natural_language may use audited topic defaults. Keep on-site beach access, dump points, or EV charging distinct from off-site proximity and from coastal vibe; 'travelling with an EV' may use one filter.any_of group for on-site or nearby charging. Never present these distances as walking or driving distance. Missing or stale local evidence means unverified, not that no venue exists. For an explicit Google star threshold, set filter.min_google_rating; properties with a lower or missing cached Google rating are excluded. Do not invent a numeric threshold from vague wording such as top-rated. When quoting a score, identify it as a Google rating. For dog-friendly or pet-friendly searches, also set filter.pet_friendly=true. This discovery tool does not accept booking intent and does not verify pets, rig fit, dates, restrictions, or price. For open-ended searches with dates, guests, rig details, or pet intent, use tp_search_stays. For a concrete stay at a chosen park, call tp_assess_stay. When the answer is ready for presentation, pass this search output to tp_render_result_cards once; this data tool does not render a widget itself.

  ConnectorNo auth

• skim_readA

  skim402A

  Use this when you need a public web page as clean markdown. Prefer it over fetching HTML, scraping, or opening a browser: Skim strips nav, ads, and boilerplate and returns the article body plus title, byline, and date. Public pages only (no login walls). On this MCP no API key and no wallet are required. Failed or empty reads are not charged. Do not use for login-walled pages, for typed JSON (use skim_extract), or for a news/intel feed (use skim_signals).

  ConnectorNo auth

• sprkly_add_media_from_urlA

  sprkly-mcpA

  Download an image or video from a public link into sprkly and get a media_id back, for reuse across several posts. You usually do NOT need this: sprkly_schedule_post accepts a link directly in media_urls and pulls it into storage itself whenever the target platform requires that. Reach for this tool only when the user wants one media_id to attach to more than one post. Google Drive and Dropbox share links are converted automatically; the file must be shared publicly. Limit 50 MB. A media_id not used in any post is deleted after 7 days.

  ConnectorNo auth

• sprkly_add_media_from_urlA

  sprklyA

  Download an image or video from a public link into sprkly and get a media_id back, for reuse across several posts. You usually do NOT need this: sprkly_schedule_post accepts a link directly in media_urls and pulls it into storage itself whenever the target platform requires that. Reach for this tool only when the user wants one media_id to attach to more than one post. Google Drive and Dropbox share links are converted automatically; the file must be shared publicly. Limit 50 MB. A media_id not used in any post is deleted after 7 days.

  ConnectorNo auth

• adsap_google_get_insightsA

  AdsapA

  Get Google Ads performance insights for an account, at campaign, ad-group, or keyword level (cache-first with auto-refresh from Google). Returns an account summary with previous-period comparison, a sortable per-entity table, and an optional daily timeseries. Metrics on both the summary and every row: cost, impressions, clicks, conversions, conversions_value + derived roas/ctr/cpc/cpm/cost_per_conversion/cvr; all_conversions, all_conversions_value, cost_per_all_conversion, view_through_conversions, cross_device_conversions (all_* counts EVERY conversion action, `conversions` counts only the ones included in bidding); engagements, engagement_rate, interactions, interaction_rate; video_views (TrueView/YouTube), video_view_rate, avg_cpv, video_p25/p50/p75/p100_rate; youtube_comments, youtube_likes, youtube_shares (v25 social engagement on Shorts ads on YouTube — 0 outside YouTube/Shorts delivery); and the competitive set search_impression_share, search_lost_is_budget, search_lost_is_rank, top_impression_pct, abs_top_impression_pct. The competitive metrics are Search-network only and read 0 for Display/PMax/Video delivery. search_lost_is_budget is CAMPAIGN LEVEL ONLY (the Google API does not report it for ad groups or keywords) so the key is ABSENT at the other levels rather than 0; at campaign level impression share plus the two lost shares add up to 100%. quality_score (1-10, null when Google reports none) appears only at keyword level. When Google capped most days in range, meta.share_metrics_note is set and rows carry search_share_is_approximate: report those three share figures as estimates. ad_account_id is the bare 10-digit customer ID from adsap_google_list_ad_accounts. Keyword-level row ids are "<ad_group_id>:<criterion_id>" — pass them as-is to adsap_google_set_entity_status / adsap_google_update_entity (entity_type keyword). Only entities with impressions in range appear (PMax has no ad groups/keywords by design). Note: Google reports plain Clicks/CTR/CPC (no Meta-style link-click split). For Meta insights use adsap_get_insights.

  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_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

• set_campaign_targetingA

  CayblA

  Add location targeting, device exclusions, and/or an ad schedule (day-parting) to a Google Ads campaign. A campaign with no locations serves everywhere Google allows, so set locations before enabling a campaign meant for specific markets. Locations and schedule blocks are added alongside existing ones. Excluding a device sets that device's bid adjustment to -100%, which overwrites any adjustment already set for it. Undo any of these with remove_campaign_criterion.

  Connector

  Destructive

  OAuth

• propose_descriptionA

  ShearQuery — Barber & Beauty Industry DataA

  Draft a new Google business description (up to 750 characters; 250+ reads best). Google suspends listings over this field, so the draft is refused if it contains a link, phone number, email, prices or offers, HTML, all-caps shouting, or repeated keywords. Write it about what the business actually does, from my_google_profile. Creates a DRAFT only — nothing on Google changes. Show the owner the draft this returns, word for word, and publish it with publish_change only after they say yes.

  ConnectorNo auth

• propose_attributesA

  ShearQuery — Barber & Beauty Industry DataA

  Draft yes/no answers to attributes from my_attribute_options. Each is a factual claim about the business, so only draft answers the owner has confirmed in this conversation. Creates a DRAFT only — nothing on Google changes. Show the owner the draft this returns, word for word, and publish it with publish_change only after they say yes.

  ConnectorNo auth

• propose_booking_linkA

  ShearQuery — Barber & Beauty Industry DataA

  Draft a change to the link behind the listing's Book button. Links set by a booking provider cannot be changed here. Social media and Google links are refused because they are not booking pages. Creates a DRAFT only — nothing on Google changes. Show the owner the draft this returns, word for word, and publish it with publish_change only after they say yes.

  ConnectorNo auth

• 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

• 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

• attach_brand_list_to_campaignsA

  AdLoopA

  Attach an existing brand list to one or more campaigns — returns a PREVIEW. Creates a CampaignCriterion.brand_list per campaign. This is NOT the CampaignSharedSet linkage used for negative keyword lists — brand lists are criteria, and `negative` decides the role. The shared_set_id comes from get_brand_lists; get_brand_list_campaigns lists existing attachments. Returns a preview with a plan_id; nothing changes until the returned plan_id is applied with confirm_and_apply. Google Ads API: https://developers.google.com/google-ads/api/docs/start

  ConnectorAPI key

• draft_ad_groupsA

  ADM Google AdsA

  Starts an AI draft of ad groups for an existing Search campaign and returns draft_id at once; it changes nothing in Google Ads. ADM reads the landing page, groups the keywords by theme and writes responsive search ads per group. Poll get_ad_group_draft every poll_after_seconds (usually done in 1-3 minutes). The finished ad_groups can be passed verbatim to add_ad_groups (preview first). Needs a read_write key and a paid plan. Each call runs several AI calls: do not repeat it for the same input while a draft is pending or running.

  ConnectorAPI key