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342,772 tools. Last updated 2026-07-30 12:15

"Using Google to Generate Reports" matching MCP tools:

  • List available validated reports. Cheap to call, returns no full bodies. Only shows reports that passed validation (signed, TL;DR, no AUTO-CORRECTED). The current (newest) report is excluded — it's the paid product.
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  • Submit an async job to export a FULL bulk dataset for one of the Maritime Reports add-on datasets (dry_dock_dates, casualty, inspections, sales_purchase_demolitions, ownership, class_society, engine, companies). This returns the ENTIRE dataset (all records), not one vessel — for a single vessel use the matching lookup tool instead (e.g. intel_ownership, intel_inspections). Like all reports it is asynchronous: this returns a report_id and a _PENDING_ status without waiting; submit ONCE, then poll report_status with that report_id until _DONE_, which yields a result_url to hand to the user to download. The server never downloads the file itself. Part of the Maritime Reports add-on.
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  • Weekly reports index — titles, summaries and dates (public, MCP-compatible) — Returns a public index of the last 12 weekly Alpha reports: title, a short plain-text summary (≤300 characters), the publish date, and the week covered. Full report content (HTML in 5 languages) remains Pro-only on GET /api/content/weekly-reports. AI agents can use this endpoint to inform users about recent report topics and dates without any authentication. Response: { reports[], total, updatedAt }. Each report: id (string), title (string), summary (string, ≤300 chars), publishedAt (ISO-8601), weekOf (YYYY-MM-DD). No authentication required. Cached 1 hour (reports are generated weekly). 60 requests/min rate limit.
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  • Retry a failed deployment using a server_token (from the failure email, the deploy-progress UI, or the dashboard). Wipes the previous broken install and runs a fresh deploy on the SAME server. Returns a new session_id — poll with check_status. Use this when the user reports a failed deploy or pastes a server_token.
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  • After you use a listed agent, report whether it worked — reports are correlated with your recent retrievals, improve ranking accuracy, and unlock higher rate limits for contributors. Only reports we can match to one of YOUR retrievals (search_agents / get_agent_profile / compare_agents / suggest_alternatives naming that agent, last 48h) carry weight; unmatched reports are stored but unweighted. Aggregates surface as `reported_success` on profile/comparison cards once 5+ distinct reporters exist (90-day window). Callers with 5+ correlated reports in 30 days get a doubled per-minute rate limit. Send an x-agentery-key header to keep one reporter identity across IPs (it is stored only as a hash).
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  • Generate a high-fidelity cinematic video using Google Veo 3.1 (5 credits). Premium quality with realistic physics and cinematic lighting. Use ONLY for final deliverables — landing page videos, polished ad creatives, brand content. NEVER use for first drafts. Always iterate with generate_video first, then upgrade to Veo for the final version. [sensitive-tier, initiates a multi-step agent process — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time.]
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Matching MCP Servers

Matching MCP Connectors

  • Change how an existing Google Ads campaign bids: MANUAL_CPC (optionally enhanced), MAXIMIZE_CLICKS (needs maxCpcUsd on an existing campaign — Google requires the CPC ceiling on that change), MAXIMIZE_CONVERSIONS, MAXIMIZE_CONVERSION_VALUE, TARGET_CPA (needs targetCpaUsd) or TARGET_ROAS (needs targetRoas, e.g. 4 = $4 revenue per $1 spent). TARGET_CPA and TARGET_ROAS are applied as Google's own v25 equivalents — maximize-conversions with a target CPA, and maximize-conversion-value with a target ROAS — so the read-back reports them as MAXIMIZE_CONVERSIONS / MAXIMIZE_CONVERSION_VALUE; report what the read-back says. The conversion-based strategies only deliver once conversion tracking is configured on the account. Changing a LIVE campaign's bidding changes what it pays immediately, so that needs confirm:true.
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  • List configured review platforms (Google, Hipages, Facebook, etc) with their URLs. Useful for knowing where to direct review requests.
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  • List your recent competitor analysis reports (up to 50). Requires authentication. Returns a lightweight list (id, url, product_name, created_at, status) — use get_report(job_id) to fetch the full report for any of them. Returns: {reports: [{id, url, product_name, created_at, status}, ...]}
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  • Lists the Google Drive folders synced on this Mac (My Drive, Shared drives, per-account mounts). Start here to get valid paths for the other gdrive_* tools. Reads the folder Google Drive for Desktop already syncs — no Google API, no OAuth.
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  • Generate (or regenerate) an AI personalized message draft for a specific campaign_contact and step, using the template and lead profile. The message is NOT sent — it is stored as a draft with status 'pending_approval' and waits for review (via this MCP or manually). Use list_pending_approvals + approve_message to release it to the campaign executor.
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  • Flag an offering that is misleading, a scam, or doesn't deliver. Reports lower trust; enough independent reports auto-flag a listing. False reports are themselves abuse.
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  • List all scheduled reports for this company, optionally filtered by agent. Use when user asks "what reports are scheduled?", "show me our reports", "what reports does X have?"
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  • Generate stock-report PNG images and return their URLs. This is intentionally separate from analyze_stock so the JSON analysis stays fast and light. The backend reuses the same Growth Engine image generators used by email/social publishing. Args: symbol: Stock symbol, e.g. "RXRX". force: Regenerate images instead of using cached PNGs. Defaults to True so manually requested images reflect the latest available data. types: Optional subset of chart types. Allowed values are "ai_prediction", "iv_radar", "option_pressure", "monte_carlo", and "equity_curves". Omit to generate every chart type.
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  • Retry a failed deployment using a server_token (from the failure email, the deploy-progress UI, or the dashboard). Wipes the previous broken install and runs a fresh deploy on the SAME server. Returns a new session_id — poll with check_status. Use this when the user reports a failed deploy or pastes a server_token.
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  • NWS daily climate data: type=reports returns CLI daily climate reports (observed high/low/precip vs normals per station); type=records returns RER record event reports (record highs/lows/rainfall actually set). Filter by wfo (3-letter office, e.g. DMX), station, date (YYYY-MM-DD), start/end range, or hours lookback. Examples: {"type": "records", "hours": 48} or {"type": "reports", "wfo": "DMX", "date": "2026-07-04"}.
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  • Synchronously generate a research report and persist it under the caller's authorship. Two subtypes: • `reverse_dcf` — solves the stage-1 free-cash-flow growth rate the market price implies, with a 5×5 sensitivity grid across WACC × terminal-growth assumptions. Returns full markdown + structured JSON + every numerical claim's citation chain to the originating SEC accession. • `thesis` — snapshot a saved thesis (via `save_thesis`) as a frozen narrative report with at-a-glance table, author notes, anchor fundamentals (latest annual), and lineage to the source filing. Later edits to the thesis do NOT propagate — generate a new report to capture new state. Tier: sample tier rejected — reports are per-author state.
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  • AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'
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