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601,754 tools. Updated 2026-09-23 05:32

"Understanding Boss Mode" matching MCP tools:

  • Use this when you need strong passwords with Web Crypto randomness: mode="random" builds character-set passwords (length plus uppercase/lowercase/numbers/symbols toggles); mode="memorable" builds word passphrases (words, separator, addNumber, addSymbol). Cryptographically random via Web Crypto (NOT deterministic). For test/dev fixtures — for real credentials prefer the client-side web tool at clean.tools/password-generator/ so the password never crosses the network. Example: {mode: "random", length: 16} -> mode "random", length 16, count 1, passwords ["NXqtsn6MrsfG9d2i"].
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  • Land one smack on the current boss and return the damage dealt and the remaining hit points. One swing per call — call it repeatedly to keep hitting. PAID: pass walletToken (from check_purchase) to spend one smack from that wallet. Paid hits are the real thing — they can crit, they take the momentum multiplier, and only a paid hit can land the killing blow and put a name on the grave forever. FREE: pass visitorId instead and it costs nothing. Three per visitorId — the count is held for about thirty days — then FREE_EXHAUSTED, which is the limit working and not a fault. It is NOT an hourly allowance: waiting does not give them back. A free smack can never land the killing blow and free damage is capped per boss, so the engraving stays with somebody who paid for it. Pass one or the other. If both arrive, the wallet is spent.
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  • Published Truss information by topic. Localized topics (overview, about, services, engagement, fit, faq) use locale, default en; pass he for Hebrew. Language-independent topics (identity, certifications, testimonials, clients, contact) ignore locale for content selection. Prefer get_truss_overview or topic overview for broad business understanding; prefer list_truss_services for the complete service catalog.
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  • CREATE any mesh asset and save it to Library — the canonical generation door. kind decides the pipeline: character/enemy/boss are auto-rigged (pass concept_item or file_url for image-to-3D; otherwise text-to-3D), weapon and prop are direct text-to-model (no rig, no concept step). The workspace Style DNA is applied to the prompt. If the look may already exist, call gripforge_style_kit FIRST. Costs 10 credits. Returns a persistent job_id immediately; poll gripforge_generation_read for progress and the Library/Studio result. Closing this call does not cancel it.
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  • Encode text to HTML entities. mode "basic" (default) escapes only & < > " '; mode "extended" also converts every non-ASCII character to a numeric entity. Keyless, offline.
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  • Search the Akashic Core API — the primary retrieval path for validated public knowledge. Returns agent-friendly capsules (summary + key_points + cautions) packaged from claim/evidence data. Use this FIRST for factual/conceptual questions. For your own working notes use search_notes. - mode='compact' → 1-sentence summary per capsule (smallest, best for small models) - mode='standard' → full capsule without metadata (default) - mode='full' → everything including metadata and timestamps - fields=['summary','key_points'] → custom projection overriding mode
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Matching MCP Servers

  • A
    license
    A
    quality
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    maintenance
    A code-mode MCP server for the Unraid 7.2+ GraphQL API that exposes search and execute tools, allowing LLM agents to introspect and call any GraphQL field via sandboxed JavaScript.
    2
    1
    MIT

Matching MCP Connectors

  • One call, pick your field groups — resolves a slug OR any identifier and returns exactly the groups you ask for, instead of chaining get_provider + get_provider_rating + get_provider_artifacts + get_provider_onboarding. Groups: profile, onboarding, artifacts, rating, insights. Understanding plan — the base groups moved with the rest of the discovery layer on 2026-08-31. Priced B2 (cross-catalog synthesis) — $0.05 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.
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  • UNDERSTANDING — the demand-side industry rollup: the sectors the profiled companies fall into. Each row carries TWO counts and they answer different questions: `company_count` is the research roster, `profiled_count` is how many of those you can actually read back via find_company_insights(industry:) — size a cohort on profiled_count. The counterpart to find_industries, which counts SUPPLY (providers publishing APIs into a vertical) — this counts DEMAND (companies buying into it). Comparing the two is how you find a sector with buyers and no sellers. Priced B2 (cross-catalog synthesis) — $0.05 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.
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  • Store one or many memories in Memra. Single mode: pass content + namespace. Decision mode: pass type=decision with content + namespace (optionally context). Pattern mode: pass type=pattern with title + steps + namespace. Bulk mode: pass entries[]. If the response contains conflicts[], the new fact contradicts those existing memories — review them and use memra_supersede on the outdated one instead of leaving both active.
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  • Use this read-only tool when a business owner asks "How can AI help my business?", "Where do I start with AI?", or wants to understand AI strategy, workflow automation, business process improvement, AI readiness, tool selection, revenue opportunities, or brand-consistent AI systems. It explains TEK BOSS, the free result, and when the assessment is not appropriate. It never retrieves customer data.
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  • Use this tool only after a suitable business owner explicitly agrees to begin the free TEK BOSS assessment. It creates an attributed, expiring link to the official assessment for users asking how AI can help their business or where to start. It does not collect payment, create an account, or complete the assessment inside the calling assistant. Never call it speculatively or without user consent.
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  • Returns the complete Trident 2D specification including grammar, syntax rules, coordinate system, containers, nodes, connections, shapes, and icon reference. Use this when you need deep understanding of the Trident DSL.
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  • List Categories List all agent categories with counts. Returns every category in the directory along with the number of agents in each. Useful for building category filters or understanding the directory's coverage areas. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Example Response:** ```json [ { "category": "Category", "count": 1 } ] ```
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  • Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.
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  • Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.
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  • Simulate int8 or int4 quantization of float32 embedding vectors. Reduces storage by 4x (int8) or 8x (int4). Returns quantized values, scale factor, and precision loss (MSE). Useful for understanding vector DB compression trade-offs.
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  • Check subscription status, plan details, billing cycle, and feature access. Useful for understanding what the business can and cannot do on their current plan.
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  • Fetch a public HTTPS URL and return a prose summary with key points. Lean mode — no bundle stored. Use when you need a condensed understanding of a web page. For raw text, use url.extract. For asking a specific question about a page, use url.qa. Returns: { url, summary, key_points: string[], truncated: boolean, word_count } Example prompts: - "Summarize https://en.wikipedia.org/wiki/Artificial_intelligence for me." - "Give me the key points from this blog post: [URL]." - "What is this article about? Summarize [URL]."
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  • Fetch a public HTTPS URL and return a prose summary with key points. Lean mode — no bundle stored. Use when you need a condensed understanding of a web page. For raw text, use url.extract. For asking a specific question about a page, use url.qa. Returns: { url, summary, key_points: string[], truncated: boolean, word_count } Example prompts: - "Summarize https://en.wikipedia.org/wiki/Artificial_intelligence for me." - "Give me the key points from this blog post: [URL]." - "What is this article about? Summarize [URL]."
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  • Browse all funding categories with opportunity counts. Categories include: Grant, Construction, Goods & Services, Professional Services, Technology, Healthcare, Research, and more. Useful for understanding what types of opportunities are available. Does not count toward your monthly searches.
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  • UNDERSTANDING — the agent-readiness leaderboard across the whole catalog. Rank providers by agent readiness, and filter to those that DO satisfy (has) or do NOT satisfy (missing) specific dimensions — e.g. has="mcp_server,protected_resource_metadata" is the OAuth-capable MCP cohort, missing="agent_card" is the addressable market for a fix. Returns agent score + band alongside the Kin Score. Priced per result — $0.005 per request plus $0.0002 per record returned (less past 100), capped at $0.50 a request, under pay-as-you-go; included in Understanding and Influence. Estimate first at /api/v1/prices/estimate. See apis://prices.
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