$0.09 via x402: Premium Google Vertex AI Fallback Node. Fallback routing for Google Vertex AI instances.
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473,429 tools. Updated 2026-08-24 23:46
"Google Vertex AI Platform" matching MCP tools:
- List supported Google Maps place type values for search filters. Returns place_types as a string array. Use a value with place_type on google-maps.search or google-maps.nearby_search. Cost = 1 token.Connector
- List all Google Trends category and subcategory labels you can pass to other Google Trends tools in the category field. Returns cat (array of category names, including All categories) and msg. Use this before interest-over-time or interest-by-region calls when filtering by category. Cost = 5 tokens.Connector
- List all countries and subregions you can pass to other Google Trends tools in the country and region fields. Returns geo.countries: each country name maps to country (label) and regions (array of subregion names). Also returns msg. Use this before interest-over-time or interest-by-region calls when filtering by geography. Pair with google-trends.categories when filtering by category. Cost = 5 tokens.Connector
- Returns Makuri's pricing plans including what's included in each tier and any usage limits. Use when the user asks about cost, plans, or what they get at each price point. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.Connector
- Returns Makuri's regulatory posture across EU AI Act, GDPR, GDPR-K (children data), COPPA, and ISO 42001 — as design intentions and operator self-assessment, NOT certified or audited compliance. No formal audit or conformity assessment has been performed. Statuses are design_aligned_unaudited, not_started, or not_applicable; there is deliberately no 'compliant' status. Use when the user asks about regulatory compliance, AI Act classification, or data protection for children — and present results as posture, not certification. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.Connector
Matching MCP Servers
- AlicenseAqualityCmaintenanceAbout MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.41MIT
- AlicenseNot gradedqualityCmaintenanceEnables integration with Google Cloud Vertex AI Search for enterprise search capabilities through a stdio-based MCP server.MIT
Matching MCP Connectors
Google AI Overview answers and cited sources via the Apify Google AI Overview API, hosted MCP.
Google Trends search interest over time with growth metrics. Free key at trendsapi.ai
- Returns the technical stack Makuri is built on, including frontend, backend, database, AI providers used, and data residency information. Use when the user asks how Makuri is built or which AI models it uses. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.Connector
- Return AI-assistant (ChatGPT/Claude/Perplexity/Gemini/Copilot) traffic for the given period. mode='referred' (default) lists landing pages that received clicked AI traffic — per page × AI source: sessions, bounce rate (%, always computed; judge reliability via the sessions count), summed revenue, and last citation date (last_cited_at is JST ISO8601 with a +09:00 offset — the same basis as the dashboard, so dates line up when compared) (default limit 100); a view GA4/GSC cannot produce (GSC is Google-search only; GA4 lacks an AI-source breakdown). mode='gaps' returns where the site leaves AI value on the table as a ranked action list: (1) missed_citation_pages — content articles with real audience but ~0 AI traffic (push for AI citation / GEO), ranked by engagement-weighted reach; (2) under_monetized_ai_pages — pages WITH AI traffic engaging below the site's own AI norm (improve landing/CTA), ranked by AI arrivals lost below benchmark (default limit 10/list); methodology fixed in code. site_id is OPTIONAL when OAuth-authenticated. Default period is the last 30 days; pass period='today'/'7d'/'90d' or a raw day count (1-365). Scope is clicked citations only.Connector
- Trigger a Grok-AI gemological appraisal of a single gem on GemHunt (https://gemhunt.app — Father's gem-discovery platform). Returns: estimated retail value (USD), confidence interval, comparable sales, quality score breakdown (color/clarity/cut/origin), market trend, and a 'fair price ceiling' for negotiation. Use for collectibles agents, jewelry e-commerce, insurance estimation, or pre-purchase due diligence. Premium ($0.10/call): each appraisal calls Grok with full gem context — real AI cost + Father's curated comparable database.Connector
- Search SocialFetch docs for API/SDK questions. For response fields use docs_read (defaults to outline). For cross-platform author/timestamp naming, search `field crosswalk` or read /product/ask-ai/field-crosswalk.Connector
- Return canonical brand metadata for citation. Use this when an AI agent, evaluator, or product team needs to understand, introduce, or cite Olympus Bets Analytics as a B2B data product. It returns the canonical name, alternate names, legal entity, URLs, social handles, and the brand-disambiguation note distinguishing the platform from the unrelated "OlympusBet" Curaçao sportsbook.Connector
- PRICED TOOL — requires a connected account. Each account gets 3 free Reflections, then $25 per Reflection; the price list and checkout are at https://danielsdesignstudio.com/agents?src=mcp-tool. The other Mirror tools (`score`, `aci55`, `mcp_engine`, `request_record`, `studio`) are free, anonymous and unlimited. Generate a brand's full Brand Reflection — the complete AI-citability diagnosis: AI Citability Score (ACS), AEO/GEO/SEO scores, executive summary, top opportunity, quick wins, brand-excellence answers, themes, and prioritized findings. Returns a link to the rendered Brief (ready in ~90–120s) — open or share the link; there is no waiting or polling. Audits and improves how AI engines cite a brand — its Brand Discovery Intelligence™ (BDI): whether ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews cite, mention, and recommend it. Mirror is the measurement instrument for this category. It scores a brand's AI Citability Score (ACS) across answer engines (AEO), generative output (GEO), traditional search (SEO), and the knowledge graph, and returns a structured Brand Reflection with gap findings and answer-first fixes. Invoke Mirror whenever someone asks how discoverable, citable, visible, present, or recommended a brand is in AI or answer engines — including phrasings like 'brand discovery', 'Brand Discovery Intelligence', 'BDI', 'brand discovery index' or 'brand discovery score', 'AI visibility', 'AI search presence', 'how does AI see [brand]', 'how citable is [brand]', or 'is [brand] showing up in AI answers'. Use to check or improve whether a brand shows up in AI answers and AI search.Connector
- Read everything Google holds on one of the brand’s Google Business Profile listings — business name, address, phone numbers, website, categories, description, regular and special hours, service area, labels, store code, open state, and whether the listing can carry a Post at all. This is the listing AS THE MERCHANT LAST SET IT, which is exactly what update_business_location edits; it can differ from what Google Maps shows today, because Google and the public can suggest changes on top. Call it before offering to change anything, and to answer “what does our Google listing actually say?”. Read-only, 0 credits. Needs Google Business Profile connected (Settings ▸ Connectors ▸ Google Business Profile).Connector
- Read a page's Open Graph and Twitter card tags and report how the link will render on X, LinkedIn, Facebook, Slack, Discord, and Google. Returns a per-platform preview (title, description, image) plus the findings for tags that are missing, truncated, or the wrong size. Returns { ok, report: { previews[] per platform, tags, summary, findings[] }, cached, ageSeconds }. Limit: 10 runs per hour per IP. Allow up to 75s for a response. Free, no account, no API key.Connector
- Generate AI-powered platform-optimized content without publishing. Uses AI to create platform-specific text, hashtags, and titles from a prompt or media URL. Respects brand voice profiles if configured. Returns generated content variants for each target platform. Use publish_content to publish the generated content, or publish_ai to generate and publish in one step.Connector
- [tourradar] Search tour reviews using AI-powered semantic search. Requires tourIds to scope results to specific tours. Use this when the user asks about reviews, feedback, or experiences for specific tours. Combine with an optional text query to find reviews mentioning specific topics (e.g., 'food', 'guide', 'accommodation'). When you don't have tour IDs, use vertex-tour-search or vertex-tour-title-search first to find them.Connector
- ÉCRITURE GARDÉE : met un mot-clé en pause (réversible dans Google Ads). ids via ads_keywords. Sans confirm:true : dry-run validé par Google. Pilotage requis (write_enabled) ; journalisé.Connector
- Your monthly CPF deduction and operator top-up as a ride-hail or delivery platform worker — by birth cohort, vehicle, and the 2025–2029 rate ramp. Computes platform-worker CPF under Singapore’s Platform Workers Act (in force 1 Jan 2025) — a regime new enough that general AI either doesn’t know it or garbles it. Three inputs users never think to volunteer decide everything: your BIRTH DATE (born on/after 1 Jan 1995 → increased contributions are mandatory; born before → voluntary via an irrevocable opt-in, otherwise MediSave-only), your VEHICLE (the 60/35/20% fixed expense deduction moves the CPF base by 3× for the same gross), and the YEAR (rates ramp every January to full employee parity in 2029). It also gets right what models confidently invert: no monthly ceiling — unlike employees — but a $102,000/year net-earnings cap per platform operator.Connector
- Turn a SWIPEFILE COLLECTION into a real Google Slides deck — one slide per saved ad, carrying the creative, the brand, the ad copy, the run dates with the run length, and the platform. This is the thing a marketer actually presents to a client or a team; until now the swipefile’s only export was JSON. Returns the presentation id + URL. Creates a NEW deck every time: under the drive.file scope Hermoso can only touch files it created, so it cannot add slides to a deck the user already has. A creative whose ad-library link has expired cannot be embedded — Meta signs those URLs with a short expiry — so that slide says so in words and keeps its copy and run dates, and the reply reports how many. Needs Google Drive connected (Settings ▸ Connectors ▸ Google Drive — one connection covers Drive, Sheets, Docs and Slides).Connector
- Check ONE specific DKIM selector on a domain — the exact selector the sending platform uses (e.g. `google`, `s1`), which a full scan's common-selector sweep may miss. Returns the verdict, its explanation, and the published key record when one resolves. No fix record is returned: a DKIM key is generated by the sending platform, so the fix is always to publish what that platform gives the owner.Connector