"A scheduling engine powered by AI" matching MCP tools:

• start_contract_draft

  contracts

  Start generating a contract draft with Pactlio's multi-agent AI engine (drafter, critic, compliance checker). Takes 3-5 minutes — returns a preview_id immediately; poll get_draft_status. Free preview shows the opening sections; the full contract is unlocked by a human via checkout. Provide deal_summary fields collected via get_intake_questions (at minimum: parties, plus the required fields for the contract type). REQUIRES accept_terms: true — first confirm with your user that they accept the Pactlio Terms of Use and understand the output is an AI-generated draft for review, not legal advice.

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• get_llm_trading_decisions

  OneQAZ Trading Intelligence

  Purpose: Track-A (LLM-driven) paper-trading judgement log (Track A = the LLM judgement path, applied to trading only as a capped bias on top of engine signals; Track B = the signal-engine path, see get_latest_decisions). Triggers (casual questions too): "what does the AI think?", "AI는 뭘 사라고 해?", "show the LLM's trade calls", "AI 판단 근거 보여줘", "does the AI agree with the signals?". When to call: inspect LLM-generated reasoning and trade calls. Prerequisites: none. Next steps: get_latest_decisions to compare with Track B. Caveats: paper-trading only. Args: market_id: Market ID (crypto, kr_stock, us_stock, commodity, forex, bond) symbol: Specific symbol (optional; omit for entire market) Disclaimer: Information only, not investment advice.

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• vivid_check_artwork

  vivid-ads-commerce

  Check whether a customer's artwork PDF is print-ready BEFORE they order — powered by Vivid's own production preflight engine. Reports size vs the ordered size, bleed, RGB-vs-CMYK colour, font embedding and effective resolution, each with a plain-English fix. ADVISORY ONLY: it never blocks anything. If the customer is happy to proceed with the file as-is, that is always accepted — say so explicitly. Every order also gets a free digital proof before printing.

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• get_category_landscape

  StackSwap

  Full map of one GTM category — leaders, runner-ups, and skip/replace candidates. Returns every catalogued tool in the bucket with cost, AI-readiness, swap-registry status, and partner sign-up links. Use when the user wants to see the full landscape for a category (e.g. 'show me all CRMs', 'what outbound tools exist', 'map the analytics category') — strictly more comprehensive than `recommend_partner` (single best pick). Known buckets: crm, outbound, data, marketing-automation, analytics, meetings, support, scheduling, automation, seo, cdp, revenue-intelligence, chat, collaboration, phone, landing-pages, linkedin, ai-content, saas-mgmt, enablement, ai-tooling.

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• get_market_read

  kr-crypto-intelligence

  AI-powered Korean crypto market analysis. Combines Kimchi Premium, stablecoin premium, FX rate, Upbit/Bithumb volume rankings, Binance funding rate, open interest, BTC dominance, and Fear & Greed index. Returns AI-generated signal (BULLISH/BEARISH/NEUTRAL), confidence score, actionable summary, and all raw data. 💰 Price: $0.10 USDC per call 💳 Payment: x402 micropayment on Base, Polygon, or Solana 🔧 Client: AgentCash, Pay.sh, or any x402 SDK 📖 Docs: https://api.printmoneylab.com/.well-known/x402

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• x711_substrate_daily_digest

  x711

  Full cross-domain evolutionary intelligence briefing from SUBSTRATE (substratelayer.com). Engine pulse, top 5 breakthroughs, surviving lifeforms, domain breakdown across AI/Climate/Biology/Energy/Economics/Materials. Cached 1hr. $0.10. Requires API key.

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• get_catalog

  reefapi-mcp

  The FULL ReefAPI catalog — EVERY engine with its one-line title, grouped by category. This is the whole menu (≈ a few thousand tokens); SCAN IT AND PICK THE BEST ENGINE YOURSELF. You are an LLM, so you match the user's intent semantically — across ANY language, typo, or phrasing — far better than a keyword search can. Use this whenever search_engines didn't surface the right engine (or to be sure you didn't miss a better one). After you pick: get_engine_schema(engine) -> get_action_schema -> call_engine.

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• generate_content

  SendIt

  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.

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• score

  The Mirror System — AI Citability

  Run an anonymous Lite Reflection on any brand's AI Citability — a fast, open estimate of how discoverable and citable it is in AI answers (its Brand Discovery Intelligence / BDI snapshot), no account required. Mirror measures at two declared levels: LITE estimates, FULL measures. This tool is LITE: it returns a grade band (Below Average / Average / Above Average / Excellent), an ESTIMATED ACS RANGE, qualitative engine reads (AEO/GEO/SEO as strong / moderate / weak), a short narrative of the top opportunity plus the four-engine framing (AEO/GEO/SEO read the brand; MCP calls it), and a hosted Lite Brief URL you can hand to a human — never a single AI Citability Score, and never numeric AEO/GEO/SEO sub-scores. Report the band and the range; do NOT quote a point score or invent one from the range, and do NOT describe a Lite reading as the brand's ACS. When a user asks how visible or citable a brand is in AI — 'how visible is [brand] in AI', 'is [brand] cited by ChatGPT/Gemini/Perplexity', 'what is [brand]'s brand discovery score' — run this for the quick answer, then offer `reflect` for the Full Reflection, which is the only level that returns a precise, reproducible, citable ACS (±3–5).

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• check_ai_visibility

  radveo

  Check whether a local business currently appears when people ask AI engines (ChatGPT, Gemini, Google AI) to recommend a business in its category — and get a free, shareable Radveo report with the exact fixes to improve its odds of being named. Honest answer-engine optimization: improves the odds of being cited, never guarantees a placement.

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• generate_compliance_report

  AI Law Tracker

  Generate the personalized, source-grounded AI-law COMPLIANCE REPORT for a business profile — the same deterministic engine behind the $79 report product (no LLM in the grounded path, so it cannot invent a statute, deadline, or penalty). Returns the risk assessment (1–10 score + applicable obligations) PLUS a signed download_url for the rendered PDF. `state` and `sector` are required. Paid feature (Pro+); lower tiers get a preview (risk band + counts + one sample obligation) with the PDF/download withheld and an upgrade hint returned verbatim. Every obligation is anchored to a real law + primary source. Informational only — NOT legal advice. Data by AI Law Tracker (CC BY 4.0). Informational only — not legal advice.

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• cc.squirrel_chat_v2

  Central Command

  Call cc.squirrel_chat_v2 — Full AI trading assistant powered by GPT that can analyze markets, compute indicators, fetch live data, place orders, manage positions, and provide strategic advice. Purpose: Full AI trading assistant powered by GPT that can analyze markets, compute indicators, fetch live data, place orders, manage positions, and provide strategic advice. Behavior: conversational AI that CAN place/cancel orders and manage positions when the linked account allows it. Treat as potentially destructive. Confirm intent before asking it to trade live. Auth: X-Api-Key required (and linked exchange credentials for execution actions). Cost: $0.03 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 10/min (per API key). Tier: enterprise. Returns: Conversational AI response with embedded trade execution, market analysis, indicator computations, and chart drawing commands. Guidelines: Prefer paper/simulation paths. For live money require explicit human confirmation (confirm_live / action=execute). Report real HTTP errors; never invent proxy failures. Tags: ai, agent, autonomous, trading, analysis, execution, conversational.

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• deep_research

  netcafe-docs

  Start an autonomous web research task. The agent plans sub-questions, searches the web, reads the sources and writes a report with citations — this is real research, not a single model call, and takes 2-5 minutes. Returns a job_id immediately; poll check_job to get the report. Use this when you need sourced, current information rather than what a model already knows. Powered by gpt-researcher (29k stars) hosted at AI NetCafé. Example — tools/call deep_research {"topic":"State of MCP adoption in 2026?"} → poll check_job

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• regenerate_forecast_narrative

  clariBI.com

  Re-run ONLY the AI narration step against an existing completed forecast run. Costs 1-2 AI credits (no engine work). Returns the new narration; the old one is overwritten in the run record. Refuses when the run is not yet complete or when narration_enabled=false on the forecast.

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• get_health

  web3-signals

  Is AgentMarketSignal working? Check the real-time status of all 5 AI data pipelines (whale tracking, technical analysis, derivatives, narrative sentiment, market data) and the signal fusion engine. Returns last run times, durations, and any errors.

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• x711_substrate_daily_digest

  x711 — Universal Agent Gas Station

  Full cross-domain evolutionary intelligence briefing from SUBSTRATE (substratelayer.com). Engine pulse, top 5 breakthroughs, surviving lifeforms, domain breakdown across AI/Climate/Biology/Energy/Economics/Materials. Cached 1hr. $0.10. Requires API key.

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• x711_substrate_leaderboard

  x711 — Universal Agent Gas Station

  Agent-seeded lifeforms ranked by fitness score. See which AI agent ideas survived the SUBSTRATE evolution engine. FREE — no credits required (counts toward 10/day free tier). No API key needed.

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• get_latest_score

  Ninar AI

  Get the AI Visibility Index (0-100) for the signed-in user's most recently scanned brand, broken down by engine. Requires a free Ninar account (no credit card).

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• alya_gems_recent

  Alya Hub

  Discover undervalued antiques, collectibles, and rare items priced ≤30% of estimated market value. Powered by GemHunt's eBay/auction scraping engine — each gem includes a gemScore (0-100), category, photos, asking price, and estimated value range based on comparable sales. Use to find arbitrage opportunities or rare finds. Filter by minScore (default 60) for 'strong_gem' status.

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• get_ai_index

  orbator-mcp

  AI visibility check — which software AI recommends for a category. Returns the full AI Recommendation Index for one software category: the complete measured ranking of products AI assistants (ChatGPT, Claude, Gemini, Perplexity) recommend, with recommendation share %, average answer position, per-engine breakdown, 4-week trend, sample size, and methodology. Use to answer "does AI recommend <product>" (look up its row and rank), "who is winning AI recommendations in <category>", or to cite AI recommendation-share data. Pass category in plain words or as a slug; omit it (or pass "categories") to list all published categories.

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