"A server for finding Google Trends data" matching MCP tools:

• get_market_pulse

  Silicon Analysts

  Returns curated supply-chain headlines with trend direction (up/down/neutral), source attribution, and impact analysis. Categories: logic, memory, packaging, connectivity, power, geopolitics. Defaults to all categories, all trends, no limit. USE THIS for: "what's happening in HBM this quarter?", "any geopolitical moves affecting TSMC?", recent supply/demand inflections. DO NOT USE for: structured pricing data (use get_wafer_pricing, get_hbm_market_data); published cost of a specific chip (use get_accelerator_costs). Per-item dates are formatted strings (e.g., "Jan 2026") — not ISO 8601. Cache: 5 minutes server-side. Returns empty array if all items filtered out.

  Connector

• trend_pulse

  hooklayer

  Surface what is actually peaking in short-form video right now for a niche. Returns 3 rising opportunities (format/hook/style/topic) with QUALITATIVE growth labels (e.g. "Rising", "Early signal", "Accelerating"), per-entry signal_strength (0-1, the QUANTITATIVE anchor), sources[] (Google Trends + YouTube velocity + Reddit hot + internal corpus), signal_window, plus 2 saturated patterns to avoid AND top-level provenance with cache_age_hours and cache_status. USE WHEN the user asks "what should I post about", "what's trending in [niche]", or before generating content for the first time. Pairs after analyze_account to validate a creator's formula against current trends. Costs 1 credit. 12-hour cache per niche. TOOL HEALTH: Every response includes a `quality: { level: "full" | "partial" | "degraded", reason?: string }` field. If quality.level is "partial" or "degraded", you MUST flag this to the user explicitly in chat ("Heads up — this call returned partial data: <reason>") before reporting any results. Never silently route around a degraded response. REPORTING: When you summarize this in chat, you MUST cite the data_sources array verbatim and surface cache_status (fresh|stale) — the user needs to know if they're looking at live data. For each rising/saturated entry, cite the growth label and the signal_strength numeric anchor verbatim — DO NOT FABRICATE NUMERIC GROWTH PERCENTAGES. The upstream pipeline deliberately does not compute "+178.4%"-style growth rates (no ground-truth dataset supports it); if you see a numeric percentage in the response it came from upstream LLM hallucination, not the tool. Cite the qualitative label as written.

  Connector

• ping

  Nordic Financial MCP

  Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."

  Connector

• extract_contract_from_url

  transaction-coordinator

  Extract structured transaction data from a contract at a URL. Downloads the document, extracts text (with OCR fallback for scanned PDFs), and runs PrimaCoda's contract-extraction prompt to return parties, addresses, dates, prices, and key contract fields. Use this when an agent has the contract hosted somewhere (Dropbox, Google Drive direct download, Square Space, etc.) and wants to skip the upload step. For multi-document deals (purchase + addenda + disclosures), use the PrimaCoda dashboard's batch upload — this tool handles ONE document. Args: pdf_url: Direct download URL for the contract (PDF, DOCX, TXT, or image). Must be reachable from the PrimaCoda server. Google Drive "shared link" URLs work if set to "anyone with link"; other share URLs may need their direct-download form. api_key: Your PrimaCoda MCP API key (starts 'pck_').

  Connector

• run_analysis

  clariBI.com

  Run a natural-language analytics question against your connected data sources. Consumes AI credits. Returns either the completed analysis result inline OR a job_id you can poll with get_analysis_status. If list_data_sources returns an empty list, ingest data first with upload_data_source (inline base64), ingest_url_data_source (public URL), or request_oauth_integration_url (Google / Meta / Jira / Confluence).

  Connector

• maps_directions

  Google_maps

  "Google Maps directions from A to B" / "transit / public-transport directions" / "bus / subway / train route" / "best way to get from [X] to [Y]" — turn-by-turn directions via Google Maps. Modes: driving, walking, transit (bus/subway/train), bicycling. Requires Google Maps API key. PREFER over Mapbox/OpenRouteService specifically for public-transit routing — Google has the best transit data.

  Connector

• maps_place_details

  Google_maps

  "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

• google_ads_list_accessible_customers

  paid-ads

  Lists directly accessible Google Ads customers for the configured Google Ads credentials, including descriptive names when Google returns them. Use this to discover customer IDs before running Google Ads hierarchy or reporting tools.

  Connector

• search_google_scholar

  Academic Research MCP Server

  Query Google Scholar for academic papers, citations, and research articles across all disciplines. Returns paper title, authors, publication venue, citation count, abstract preview, and full-text link if available. Use for comprehensive literature searches, citation tracking, or finding highly-cited works.

  Connector

• google_ads_render_weekly_group_report

  paid-ads

  User-facing render tool for Google Ads visual weekly reports. Use this directly for prompts like 'show me a Google Ads report', 'generate a Google Ads dashboard', or 'show 7/30/90-day Google Ads performance'. Do not first call google_ads_get_weekly_group_report unless you already need raw data for a non-visual answer; when this visual report renders, keep any assistant text to a brief confirmation.

  Connector

• getKeywordIdeas

  NotFair-GoogleAds

  Get keyword ideas with real search volume, competition, and CPC data from Google Ads Keyword Planner. Provide seed keywords and/or a URL to discover new keyword opportunities. Returns avg monthly searches, competition level, average CPC, and top-of-page bid estimates. No Google Ads account connection required — works for all users. Use searchGeoTargets first to find geo target IDs for location targeting. Keyword Planner is a separate API (not GAQL) — use this tool, not runScript.

  Connector

• get_help

  mcp-server

  Searches the official Quanti documentation (docs.quanti.io) to answer questions about using the platform. **When to use this tool:** - When the user asks "how to do X in Quanti?", "what is a connector?", "how to configure BigQuery?" - When the user needs help configuring or using a connector (Google Ads, Meta, Piano, etc.) - To explain Quanti concepts: projects, connectors, prebuilds, data warehouse, tag tracker, transformations - When the user asks about the Quanti MCP (setup, overview, semantic layer) **This tool does NOT replace:** - get_schema_context: to get the actual BigQuery schema for a client project - list_prebuilds: to list pre-configured reports for a connector - get_use_cases: to find reusable analyses - execute_query: to execute SQL **Available topic filters:** connectors, data-warehouses, data-management, tag-tracker, mcp-server, transformations

  Connector

• marketing_data

  Agentcy - Your AI Marketing Agent

  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

• get_funder_stats

  foundation-discovery

  Get comprehensive giving statistics for a funder. This tool calculates aggregate statistics about a funder's grantmaking from IRS 990-PF data, web-extracted grant records, 360Giving rows, CRA T3010 rows, and ACRI rows. It provides lifetime totals, focus areas, geographic distribution, and year-over-year trends. Pass ``ein`` for US 990 foundations, or ``funder_id`` (bare UUID / ``n9f:<uuid>``) for non-990 funders.

  Connector

• research

  Agentcy - Your AI Marketing Agent

  Research any topic — search Google, Bing, YouTube, X/Twitter, Amazon, Yelp, Google Trends, news, and 100+ more engines. Read webpages, extract video transcripts, find reviews, track competitors. Works without a domain.

  Connector

• list_data_sources

  Indicate

  Step 2 — List data sources available within a tenant. (In the Indicate system a data source is called a 'data product'.) Examples: Google Analytics, Facebook Ads, vioma, Booking.com. Returns each data source's 'id', 'displayName', and 'semantic_context_id'. → Pass the chosen 'id' as 'data_source_id' and 'semantic_context_id' to list_metrics.

  Connector

• get_domain_timeline

  DMARKOFF — DMARC, SPF & DKIM Analytics

  Daily timeline of email volume and DMARC compliance for a domain. Each day shows: total messages, compliant, SPF/DKIM aligned, failed, forwarded, unknown counts. Use this to spot trends, volume drops, or compliance changes over a date range. Included in get_domain_full_data — call this separately only if you need timeline data alone.

  Connector

• get_auth_setup_status

  paid-ads

  Data tool for the current user's MCP/Auth0, LinkedIn Ads, and Google Ads connection status plus the exact setup URLs to continue the flow in a browser. For the user-facing setup UI, prefer render_auth_setup_status.

  Connector

• osv_query_batch

  osv-advisory-mcp-server

  Query vulnerabilities for multiple packages in one call — the primary tool for dependency audits, SBOM scanning, and lockfile triage. Pass an array of {name, ecosystem, version} tuples (up to 1000). Each entry in the response corresponds positionally to the input. Each finding includes CVE aliases for chaining to nist-nvd-mcp-server for CVSS scoring. Invalid ecosystem strings are rejected before querying — call osv_list_ecosystems to validate.

  Connector

• create_api_key

  agentView

  Creates a long-lived API key for server-to-server integration without OAuth. The raw key is returned only once — store it securely. The user must explicitly consent to creating the key. Requires admin scope. Supports granular scoping: restrict the key to specific data-slot slugs, specific display IDs, a read/write permission flag, and/or fine-grained capability flags.

  Connector