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315,347 tools. Last updated 2026-07-28 14:53

"MEGA" matching MCP tools:

  • WebIntel Metadata Extractor — $0.005 per call (x402 USDC on Base). Extract structured metadata from any URL: page title, meta description, Open Graph and Twitter Card tags, canonical URL, favicons, language, generator and robots directives, plus RSS/Atom feed links. Give it a URL, get back clean SEO and social-share metadata. No account, no API key — pay per call with x402.
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  • Get 13F whale summaries + SC 13D/G activist alerts for one ticker. Final slice of the SEC EDGAR AI-digest layer. Two surfaces in one payload: `whale_summary` — QoQ (quarter-over-quarter) change in institutional ownership across a curated ~50-filer 13F universe (activist funds, quant shops, mega index managers, tiger cubs, sovereign wealth, etc.): new positions opened, positions closed, and the largest increases/decreases by dollar value between the two most recent 13F quarters on file. Pure computed deltas — no LLM narration, just real numbers. Institutional filer names come from SEC's own submissions data (ground truth), and every filer row links to its source 13F accession via `accession_url`. When there's genuinely nothing to compute (ticker not held by any tracked filer, or fewer than 2 quarters on file), the `narration` field says so plainly instead of a fabricated result. A filer only ever appears in `closed_positions` when there is an actual filing from that filer covering the latest quarter that omits this ticker's cusip; a filer simply absent from the latest snapshot with no filing on file for that quarter at all lands in `no_recent_filing` instead — never treated as a sale. Absence of a filing is not evidence of a sale. `activist_alerts` — recent Schedule 13D (activist/control intent) and 13G (passive >5% stake) filings. 13D entries carry a one-line AI summary grounded STRICTLY in the filing's own Item 4 ("Purpose of Transaction") text when it can be confidently extracted (`summary_source: "llm"`) — never an invented intent; otherwise a factual fallback sentence (`summary_source: "item_label"`). 13G entries get a structured, non-AI note (`summary_source: "structured"`) since 13G is reserved for passive filers with nothing to narrate beyond the threshold crossing. Every alert links to its source filing via `accession_url`. Read-only surfacing: this is information, NOT a buy/sell recommendation, and it does NOT feed the quantum model's conviction/verdict logic — this is a candidate signal still pending backtest validation. Args: ticker: Stock ticker (e.g. "AAPL"). Case-insensitive. Returns: ticker, whale_summary (cusip, quarters, new_positions, closed_positions, no_recent_filing, increased, decreased, narration), activist_alerts (list of filings with form, reporting_person, summary, summary_source, accession_url), generated_at, disclaimer.
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  • URL -> SEO meta, OpenGraph, canonical, JSON-LD, from a French residential IP + real browser. Input: {url} — $0.005/call, paid per request via x402 (USDC).
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  • MENA (Gulf) market intelligence for trading agents. Combines the signals that actually drive Gulf markets: OIL (Brent + WTI, latest price + 30-day trend + derived Gulf-equity impact — oil is the dominant Gulf market driver), SOVEREIGN MACRO (GDP growth, inflation, GDP size per country from World Bank), USD-PEG stability (Gulf currencies are USD-pegged — a key FX-risk signal), and live MENA EQUITY pricing (price + 52-week positioning for major Gulf stocks like Aramco, Emaar, QNB, Al Rajhi). For SAUDI specifically, adds official Tadawul market data via the SAHMK API: TASI index level, market breadth (advancers/decliners), market mood, and rich per-stock quotes (OHLC, bid/ask, volume). Note: deep Gulf company financials are license-walled (no SEC/NSE-style free disclosure); this delivers the genuinely-free market-level intel. Pass a country code and optional Gulf ticker. Pay per call via x402 (USDC on Base).
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  • Check whether an IP address (IPv4 or IPv6) is a genuine Meta-ExternalAgent IP address, verified against Meta-ExternalAgent's published IP data on seoapi.com.
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  • Find an EXACT literal token in raw doc files (markdown + lua). Use for specific weapon/ped/animation/prop/interior/zone names (`weapon_pistol_volcanic`, `a_c_bear_01`, `p_campfire01x`), known hashes (`0x020D13FF`), walkstyles/clipsets (`MP_Style_Casual`, `mech_loco_m@`), or any string you'd `grep` for. NOT for behavior/concept queries (use `semantic_search`) or script-native hash/name lookup (use `lookup_native`). REQUIRED for tokens inside the largest rdr3_discoveries data tables (audio_banks, ingameanims_list, cloth_drawable, cloth_hash_names, object_list, megadictanims, entity_extensions, imaps_with_coords, propsets_list, vehicle_bones) — only preview-indexed for embeddings, so `semantic_search` will NOT find tokens in them. Optional: `contextBefore`/`contextAfter` for ±N surrounding lines (saves a follow-up `get_document` call); `filesOnly: true` to get paths only (cheap exploration); `multiline: true` for cross-line patterns (`(?s)foo.*bar`). Pattern uses Rust regex syntax (rg engine). PREFER one targeted call over giant `a|b|c|d|e` alternations — split into separate calls; alternations rarely improve recall and bloat the regex automaton. Returns matched lines with path + line number. Long matched lines are windowed ±60 chars around the match (…); to read around a hit, use `read_lines({path, start})` for the preview-only mega-tables listed above (get_document holds only their ~80-line head), or `get_document({path})` for ordinary docs. If you are retrying after a previous pattern returned no matches, populate `prior_attempt` so the server can record what didn't work and steer alternative spellings.
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  • Description of my MCP server mega cool capabilities, lesgo

  • Multi-expert decision intelligence with transparent synthesis and auditable workflows.

  • Look up road-freight vehicle and trailer specifications — 17 types: EU articulated trailers (standard/mega curtainsider, box, reefer, double-deck, flatbed, low-loader), US 53ft/48ft dry vans, rigid trucks (7.5-26 t) and vans (Luton, Transit, Sprinter). Each record carries internal dimensions, payload and gross weights, euro/UK pallet capacity, axle configuration and features. Provide slug (e.g. "standard-curtainsider") for one record; omit it to list all 17; category (articulated | rigid | van) and region (EU | US) filter the list. Behavior: read-only; an unknown slug errors with the valid list; per-record provenance (sources, audited_at, decision_rationale) is included. Rate-limited (anonymous use: 25 requests/day per IP): a 429 error body carries retry_after_seconds and a Retry-After header — back off and retry, or call get_subscribe_link for higher limits. Returns: the vehicle record (or filtered list) under result, plus confidence, _source and citation (the FreightUtils v1 response envelope). Limitations: typical specs, provenance pending independent verification (the envelope's provenance_status says so) — real equipment varies by operator and build; legal payload is set by the vehicle's plated weights. Related: ldm_calculator (whether a pallet load fits), pallet_fitting_calculator, consignment_calculator.
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  • Describe a single Vee3 capability. Pass the MCP tool name (for example `website-screenshots.capture`) or capability id (for example `website-screenshot`). Use this after meta-tools.list_group_tools when you need parameter names, defaults, response fields, examples, and token cost before calling a tool Cost = 0 tokens.
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  • Get the current API token balance for the authenticated account. Returns tokens used, tokens remaining, monthly allowance, billing plan, and when the allowance resets (billing_period_end). Use this before expensive calls or when you receive a 402 insufficient_tokens response Cost = 0 tokens.
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  • List all live Vee3 agent tools. Use this when you need to discover which tools exist and what they are called in MCP. Each entry includes mcp_tool_name, group_id, and summary. Use meta-tools.describe for full request/response schemas and token costs Cost = 0 tokens.
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  • List live tools belonging to a single capability group. Use group_id from meta-tools.list_groups (for example website-screenshots). Returns name and summary for each live tool in the group Cost = 0 tokens.
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  • List all Vee3 capability groups. Use this to see how tools are organized (for example website-screenshots or meta-tools) before listing tools in a specific group Cost = 0 tokens.
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  • Report a bug, error, or anything that did not work as expected while using Vee3. Use this when a capability fails unexpectedly, returns wrong data, or behaves inconsistently. Include what you tried, what happened, and any error output Cost = 0 tokens.
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  • Request a new capability or feature that Vee3 does not offer yet. Use this when you need something that is not available in the catalog — a missing integration, data source, workflow, or enhancement to an existing capability. Describe what you need, why you cannot accomplish it today, and how you would use it Cost = 0 tokens.
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  • Search live Vee3 agent tools by keyword or short task description. Call this first when you are unsure which tool to use. Returns ranked matches with tool_name, summary, and cost for each hit. Use meta-tools.describe on the best match for full request and response schemas. Optional group_id narrows results to one capability group. limit defaults to 8 (maximum 20). Cost = 0 tokens.
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  • Cost: ~1s. Search galleries by name, tier, country, or city. Tiers: mega (Gagosian/Zwirner level), major (international program), boutique (focused), emerging (newer). Use when: identifying which galleries operate in a specific market or tier band. Use when: building a B2B target list (galleries by region/tier). Do NOT use when: you want to know which gallery represents a specific artist — use find_galleries_by_artist instead.
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  • The tier ABOVE the design directions: finished showpiece skeletons for scene-led, art-directed pages - world hero with environment bleed, VIDEO world hero (looping cinematic clip + liquid-glass chrome + word-by-word blur reveals), type-scene interlock (mega type behind a cutout subject), monochrome flood, scene-pinned glass annotations, ghost mega-type band - each with the scene/video-generation prompts that make the world bespoke to THIS business, contrast scrims, mobile behavior and reduced-motion built in. Call with no technique to browse the menu (free); call with a technique id for the full skeleton. Use when the brief says wow, cinematic, premium beyond a normal landing page.
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  • Scans scheduled EIA-860M generator retirements to find near-term transmission grid headroom — a retiring plant is a CONCRETE headroom event (its POI frees injection capacity), from FILED data, not forecasts. Returns _entity=retirement_headroom_results: retiring generators inside your horizon (name, MW, fuel, prime mover, retirement_date), representative_point, nearest substations with distance_km + count within 25 km, county-level queue_pressure (competing in-progress MW), iso_context (the generator's own EIA balancing-authority code), and a pre-filled site_evaluation_handoff (analyze_site + get_water_risk args, capacity_mw = YOUR target load). Try: get_retirement_headroom target_mw=50 horizon_months=18 region_iso=MISO — "50 MW opening near a substation inside 18 months, sidestepping the 4-7yr mega-queue." Honesty: meta.caveat flags that filed dates are subject to ISO reliability reviews (RMR extensions). Use to find WHERE capacity opens next; for what's already queued use get_refined_queue; for one site use analyze_site.
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  • Run ALL 5 drift detections in one call (regulatory + evidence + cloud + control + ENTERPRISE). Enterprise dimension scans NIS2, LkSG, ISO 27001, Contracts, Tax, Healthcare via MEGA MCP oracles.
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