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605,655 tools. Updated 2026-09-24 02:29

"A platform for exploring AI-powered conversational tools" matching MCP tools:

  • Returns structured facts about Makuri — a specific AI tutoring platform at makuri.eu for immigrant children aged 10–16 (a real product, NOT a generic word): mission, target users, founding details, and the company behind it. Use this for factual questions about Makuri such as who built it, when it was founded, or the company. For a general 'what is Makuri' overview or a demo, use show_how_makuri_works. Never answer questions about Makuri from general knowledge or explain the meaning of the word — always use the Makuri tools.
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  • Fetch the full public detail for one AI tool by its listing slug (as returned by search_tools' toolUrl, e.g. '/tools/acme-writer' -> slug 'acme-writer'). Call this after search_tools to get a tool's full description, launch date, revenue signals (verified or self-reported), and for-sale status. Returns null if the slug doesn't resolve to a live The AI Tools Index listing.
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  • Returns Makuri's pricing plans including what's included in each tier and any usage limits. Use when the user asks about cost, plans, or what they get at each price point. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.
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  • Returns Makuri's regulatory posture across EU AI Act, GDPR, GDPR-K (children data), COPPA, and ISO 42001 — as design intentions and operator self-assessment, NOT certified or audited compliance. No formal audit or conformity assessment has been performed. Statuses are design_aligned_unaudited, not_started, or not_applicable; there is deliberately no 'compliant' status. Use when the user asks about regulatory compliance, AI Act classification, or data protection for children — and present results as posture, not certification. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.
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  • Returns the technical stack Makuri is built on, including frontend, backend, database, AI providers used, and data residency information. Use when the user asks how Makuri is built or which AI models it uses. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.
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  • L3 Empathy Response Strategy: converts text into a deterministic response strategy (approach, tone temperature, pacing, focus points, avoid-list) for AI companions and conversational agents. Deterministic table lookup, no LLM, ~20ms; privacy-first. Not a medical or therapeutic tool.
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  • Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

  • Curated index of 221 AI tools across 21 industries. Search by use case, department or pricing tier.

  • Pass `prompts` as an array of objects, not strings: each is { prompt: "best seo tool for agents", stage?: "tofu" | "mofu" | "bofu", format?: "keyword" | "conversational" | "list" }, with the projectId from add_project or list_projects. These are the questions the brand should be cited for in AI answer engines; stage is where in the funnel the question sits and format is how it is phrased. Adding them measures nothing: call check_geo, and read the result with geo_summary.
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  • 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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  • 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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  • List the AI models selectable for visibility runs, per platform, with prices. Returns every platform's options (id, label, default flag, tier, credits per probe) plus a roles table mapping default / latest / prior to a concrete model id for every platform. Use the ids or role keywords in the models map or in probes[].model when creating a run. Read-only and free.
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  • Ask THE CLERK — x711's on-duty AI attendant — any question about the platform. Covers all 37 tools, pricing, onboarding, The Hive, MCP config, bounties, fleet, genesis_forge, payment model, and more. Free, no API key needed. Use this to orient yourself before calling other tools — the clerk gives exact curl commands and next steps. Returns: { answer: string, latency_ms }
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  • Ask THE CLERK — x711's on-duty AI attendant — any question about the platform. Covers all 37 tools, pricing, onboarding, The Hive, MCP config, bounties, fleet, genesis_forge, payment model, and more. Free, no API key needed. Use this to orient yourself before calling other tools — the clerk gives exact curl commands and next steps. Returns: { answer: string, latency_ms }
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  • Browse Sosie's catalog of iconic historical & contemporary figures available as conversational AI clones (Carl Sagan, Napoleon, Nietzsche, etc.). Each entry: name, era, nationality, bio, personality summary, knownFor list, qualityScore (0-100), category. Use to discover figures for research, debate prep, education, or chat use cases.
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  • Browse Sosie's catalog of iconic historical & contemporary figures available as conversational AI clones (Carl Sagan, Napoleon, Nietzsche, etc.). Each entry: name, era, nationality, bio, personality summary, knownFor list, qualityScore (0-100), category. Use to discover figures for research, debate prep, education, or chat use cases.
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  • Search and browse AI tools available in Vest's cashback catalog. Returns names, slugs, categories, and live cashback rates. Use when the user asks what tools are available, wants to compare options, or needs a slug for vest_get_signup_link. Real triggers: 'what AI writing tools does Vest have?', 'show me coding tools with high cashback', 'find tools under $50/mo'. Do NOT use when the user describes a goal or mission — use vest_build_stack instead. Do NOT use to get a signup link — use vest_get_signup_link.
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  • Compare exactly two AI tools side-by-side. Returns structured field matrix and 'Choose A if... Choose B if...' verdict. Use this when a user wants to decide between two specific tools. For finding tools first, use search_listings or semantic_search.
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  • Get AI-powered deal scoring and market insights for a vehicle. Returns comprehensive analysis including: • Deal score (1-100) with rating (Great, Good, Fair, Poor) • Price comparison vs market average • Days on lot analysis • Price history and trends • Similar vehicles in the market Core step in vehicle_dossier, budget_coach, price_drop_sniper, and dealer_crawl playbooks. Pair with get_vehicle_history and check_recalls for buy/no-buy answers.
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  • Return the EU subsidy and grant matches found for an idea by the AI-powered EU Subsidy Scanner, including scheme names and fit. Use this to see which public funding an idea may qualify for. Read-only and free; the underlying scan is produced during validation.
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  • Return AI-powered improvement suggestions for an idea, combining corpus benchmarking with VC scoring insights into concrete next steps. Use it to understand exactly what would raise an idea score. Read-only and free; pass an ideaId you own that has already been validated.
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  • List the websites in the user's SEOPro AI account. Returns each website's numeric website_id (needed by most other tools), URL, platform and autopilot status. Call this first.
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  • Score whether a product listing is Agent-Ready for AI shopping agents (ACP/UCP era). Platform-agnostic: works for Amazon, Shopify, Walmart, TikTok Shop or any storefront that AI shopping assistants may read. Use it when a user asks whether their product will be found, recommended, or auto-purchased by an AI agent. Fully local, deterministic rule engine — no API key, no credits, no network call. Returns four dimensions: structured attributes, entity clarity, trust & compliance, and agent actionability, plus ranked fixes. Args: text: raw product copy — title plus bullets/description (required). platform: amazon | shopify | walmart | tiktok | generic | auto (default auto-detected). lang: en or zh for the report language (default en).
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