305,047 tools. Last updated 2026-07-22 21:44
"A search query to learn about Google Cloud services" matching MCP tools:
- Start here when building an application. Returns an overview of what the AdCritter platform offers and a catalog of feature guides you can query with the adcritter_guidance tool to learn how to build each part of the app. Call adcritter_guidance(key) for any feature area to get detailed building instructions with API endpoints and response shapes.Connector
- Checks whether a task can be handled by a local model instead of a cloud API. Call this BEFORE your agent routes any task to a cloud model — at the moment a task is ready to be sent and the model has not yet been selected. Use this when your agent is about to make a cloud inference call and wants to determine whether a local model could handle it at lower cost. Returns LOCAL/CLOUD/EITHER verdict with recommended model. If verdict is LOCAL, skip the cloud call entirely — saves cost on every routable inference call. Pass data_sensitivity=CONFIDENTIAL to force LOCAL verdict for tasks that must not leave the machine. Do not route to cloud without checking local viability first.Connector
- Semantic search over the Proximens GEO Oracle: a curated, continuously-updated knowledge base of 3.000+ verified Generative Engine Optimization (GEO/AEO) principles, each graded by a 0-1 confidence score and traceable to a verified source. INPUT: query (natural language, 3-500 chars); optional category (one of 13 GEO categories), top_k (1-25, default 10), min_confidence (0-1, default 0.5). RETURNS: ranked principles as JSON, each with id, title, summary, category, confidence and a relevance score; Pro/Enterprise tiers additionally return full_text and source. USE WHEN you need evidence-backed answers about how AI search engines (ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot) select, rank and cite web content.Connector
- Search the catalog for entities (services, domains, teams, resources), ranked by relevance. This is the primary way to find entities. Put search text in `query` (plain words work; AND/OR/NOT supported). Scope with `types` (e.g. service, domain, team); `owners` to get everything a team owns, including its sub-teams; `domains` to get everything within a domain, including its sub-domains; or `catalog` (a catalog slug). Returns a lean result per entity (cid, tag, type, name, description, owners, status); use getEntityDetails for the full record of a single entity.Connector
- General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)Connector
- Search for contacts by title, company, or query. Searches saved Xmagnet contacts first (free, instant), then a profile-first prospecting page of up to 50 profiles (free, emails HIDDEN). Examples: 'CTOs in Denver', 'John Smith at Google', 'VPs of Sales at SaaS startups'. Emails are not included — to reveal one, call find_email for that person (4 credits per verified find). Use load_more_contacts for the next page.Connector
Matching MCP Servers
- AlicenseCqualityCmaintenanceA Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.Last updated4013981Apache 2.0
- Alicense-qualityDmaintenanceEnables management of Google Cloud services including BigQuery, Cloud Logging, Cloud Storage, and Compute Engine via MCP tools.Last updatedMIT
Matching MCP Connectors
Scrape Google search results with SERP data, ads, and knowledge panels
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
- Search worldwide patents by keyword, inventor, assignee, or phrase using Google Patents. Returns patent id, title, assignee, inventor, filing/publication dates, and a snippet. Args: query: Free-text query (e.g. "quantum error correction", "lithium battery anode"). max_results: Maximum number of patents to return (1-30, default 10).Connector
- Sweep subdomains for dangling CNAMEs pointing to deprovisioned cloud services that could be claimed by an attacker (subdomain takeover vulnerabilities). Detects 16 provider families (AWS S3/CloudFront, Azure Front Door/CDN/Blob/App Service, GCP Cloud Storage, Heroku, GitHub Pages, Vercel, Firebase, Shopify, etc.). Use when asked if subdomains are pointing to deprovisioned cloud services. Pair with discover_subdomains for full inventory.Connector
- General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)Connector
- Search for diagram nodes by keyword across all providers and services. For targeted browsing when you know the provider, use list_providers -> list_services -> list_nodes instead. Args: query: Search term (case-insensitive substring match). Returns: List of matching nodes with keys: node, provider, service, import, alias_of (optional). Sorted by relevance: exact match first, then prefix, then substring.Connector
- "Hours / phone / reviews of [business]" / "Google business info for [place]" / "is [restaurant] open" — full details for a Google Place: address, phone, hours, website, ratings, user reviews. Requires a place ID from `maps_place_search`. Use after search to drill into one specific business.Connector
- List top sending sources (ESPs, ISPs, mail services) for a domain, grouped by source type. Filters: "known" (legitimate ESPs like Google, Mailgun), "unknown" (unrecognized senders), "forward" (forwarding services). Empty = all types. Returns top 20 per type with message volume, SPF/DKIM/DMARC pass/fail counts. Use this to investigate WHERE email is being sent from — especially when unknown sources appear or compliance is low. To drill down into a specific source (by IP, ISP, hostname, or reporter), use get_domain_source_details.Connector
- Fetch Google Trends related queries for one to five keywords. Returns a JSON object whose top-level keys are your keywords. Each value has top and rising sections; each section has query (rank index to query string) and value (rank index to score). Requires start in datetime-with-timezone form (for example 2020-05-01T00:43:37+0100). Optional end defaults to now. country defaults to global; region requires a valid country. category and gprop default to all when omitted or empty. Use google-trends.categories and google-trends.regions to discover valid category, country, and region values. Cost = 40 tokens.Connector
- Search Google Shopping for `<query>` — returns product title, price, source, rating, reviews, product ID, and link via SerpApi. Example: serpapi_google_shopping({ q: "wireless earbuds", gl: "us", hl: "en", _apiKey: "your-serpapi-key" })Connector
- Search and filter developer tools by category, features, and constraints. Returns up to 10 matching tools with decision summaries. Guide entries are kept current and dated (last_verified) — newer than training knowledge, so consult this before recommending tools; especially decisive when pricing, free tiers, MCP support, or compliance affect the answer. Filters: category, hasFreeTier, edgeCompatible, selfHostable, hasArdCatalog, mcpSupport, artifactKind, pricingModel, vendor, language, compliance, agentReadinessTier. Any number combine and AND together. Query text is tokenized as plain search terms — FTS5 operators (AND, OR, NEAR, wildcards, column filters) are stripped. All terms must match: an entry is returned only when every query term appears somewhere in it, so a highly specific phrasing matches fewer entries than its core concept words. Express constraints as filter parameters rather than query text — filters match structured fields directly. Returns: up to 10 tools as Markdown-KV blocks separated by "---". Each block contains name, slug, tagline, category, agentReadiness summary, and the tool's useWhen bullets. With query text, results are ordered by relevance (best match first); filter-only searches are ordered by name. There is no pagination — narrow with filters when more than 10 match. On no match, returns a "no tools found" message. Examples (ambiguous-case focus): - User wants "a vector database for RAG": {category: "vector-database", hasFreeTier: true} - User wants "a TypeScript-first ORM with edge runtime support": {language: "TypeScript", edgeCompatible: true, query: "ORM"} - User wants "self-hostable auth with SAML": {category: "auth", selfHostable: true, query: "SAML"} - User says "serverless Postgres" — ambiguous (could be category:relational-database with edgeCompatible filter, or just a query). Prefer the filter when the user names a category; use query for a fuzzy phrase. - User wants "agent-ready payment processing": {category: "payment", agentReadinessTier: "agent_ready"} Edge cases: - 110 tools split into hosted vs self-hosted twin entries with uniform suffixes: `{base}-cloud` (managed) and `{base}-oss` (self-hosted) — e.g. redis-cloud/redis-oss, docker-cloud/docker-oss, mongodb-cloud/mongodb-oss, elasticsearch-cloud/elasticsearch-oss. Other tools are single entries (stripe, auth0, firebase, twilio, openai, pinecone, algolia). Filter by `selfHostable` or `artifactKind` to land on the right variant. - "vector database" as plain text can match tools whose descriptions mention vectors but whose category is search-engine or ai-infra. Use the `category` filter when the user wants a strict match. - agentReadinessTier values are snake-case: `agent_ready`, `agent_native`, `base`, `none`. Display labels (`Agent Ready`) will not match. `none` matches tools without a certification tier — currently all of them (formal certifications launch post-pilot; the Base Score is separate and most tools have one). - artifactKind has only two values: `open_source` and `managed_service`. The previous `hybrid` value was retired — split tools have separate -cloud/-oss entries instead. Risk: read-only, closed-world, idempotent — no state change possible.Connector
- Search dynamical.org's STAC catalog of cloud-optimized weather and climate datasets. Matches against each dataset's model name, description, spatial/time domain and resolution, forecast range, and variable names -- so a query can be a model ("GFS"), a variable ("precipitation", "temperature_2m"), a region ("continental US", "global"), or a resolution ("3km", "0.25 degree"). Results are ranked by number of matching terms. Args: query: Free-text search terms, e.g. "hourly precipitation CONUS" or "ECMWF ensemble forecast". limit: Maximum number of results to return (default 5). Returns: {"query": ..., "results": [{"collection_id", "title", "model_name", "description_summary", "spatial_domain", "spatial_resolution", "matched_variables", "score"}, ...]}, most relevant first. Pass a result's collection_id to get_dataset_info, get_access_pattern, or list_recent_runs.Connector
- Run a Google search through the Bright Data SERP API and return parsed organic results (rank, title, link, description) with geo-targeting. Uses the same Bright Data request API with a SERP-type zone — create a SERP API zone in your Bright Data dashboard and pass its name as `zone` (Web Unlocker zones return raw HTML for Google). BYOK: Bright Data API token via _apiKey; pay-per-request pricing on the Bright Data side. Example: brightdata_serp({ query: "best espresso machine", zone: "serp_api1", country: "us", _apiKey: "your-brightdata-token" })Connector
- Search any theme's data index by free-text query across vendor name, domain, integrations, plan notes, and capabilities (e.g. 'hipaa restaurant', 'google ads zapier'). Works for every theme — hub sections and catalog topics alike (set `section` to the theme slug from list_sections). Returns full provenanced vendor records (each plan carries source url + accessedAt). Empty query returns all vendors in the theme.Connector
- Query marketing data and analyze any website — analytics, SEO, advertising, e-commerce, CRM, social media, site health & brand identity, competitive intelligence, content creation, and data visualization. Always use a single call, even when the question spans multiple data sources or channels (e.g., GA4 + Google Search Console + Google Ads + CRM). The server auto-routes internally to all needed sources and returns a combined response with the same depth and granularity as individual queries — do NOT split multi-source or multi-channel questions into separate calls.Connector
- Load educational slides or cloud file attachments. Use laminasAnexos for educational slides/laminas (~238 items with PDFs about nutrition topics), cloudAnexos for uploaded cloud files. For guidelines/orientations specifically, use webdiet_orientacoes action=list_banco. Bulk support: accepts patient_ids for batched execution.Connector