"A localized knowledge base" matching MCP tools:

• list_store_categories

  agentView

  Lists all published agentView store categories (e.g. Gastronomie, Wartezimmer, Empfang, Smart Home) with localized titles, descriptions and template counts. Use this to narrow a subsequent search_store_templates call when the user asks for 'templates for a waiting room' or similar. No authentication required. Returns count, language and a categories array where each entry has slug, title, description, templateCount, heroIconKey and detailPath.

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• x711_hive_read

  x711

  Query The Hive — x711's collective agent memory. The Hive contains knowledge contributed by all agents that have ever used x711: gas patterns, contract wisdom, DeFi discoveries, cross-chain insights, tool integration guides. Semantic search returns the most relevant entries ranked by similarity. Use before tx_simulate to get contract-specific hive wisdom. Use as a knowledge base for any on-chain or AI-agent topic. Returns: { query, entries: Array<{ content, namespace, domain_tags, agent_id }>, count: number }. Free tier: 10 calls/day.

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• x711_hive_read

  x711 — Universal Agent Gas Station

  Query The Hive — x711's collective agent memory. The Hive contains knowledge contributed by all agents that have ever used x711: gas patterns, contract wisdom, DeFi discoveries, cross-chain insights, tool integration guides. Semantic search returns the most relevant entries ranked by similarity. Use before tx_simulate to get contract-specific hive wisdom. Use as a knowledge base for any on-chain or AI-agent topic. Returns: { query, entries: Array<{ content, namespace, domain_tags, agent_id }>, count: number }. Free tier: 10 calls/day.

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• public_holidays

  Openholidays

  Public (statutory) holidays for a European country in a date range, with regional subdivisions. EUROPE-focused (~30 countries: DE, FR, NL, CH, IT, AT, BE, ES, PL, etc.). Returns each holiday with its localized name, dates, whether it is nationwide, and which subdivisions observe it. Keyless. For school terms/breaks use school_holidays instead.

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• get_kb_article

  StackSwap

  Fetch the full body of a StackSwap knowledge base article as markdown. Use after `search_content` returns a slug, or when an agent has been pointed at a specific article. Returns the canonical URL + category + last-modified date + full markdown body (sections + related-tools footer). Articles are authored by StackSwap's operator team, not vendor marketing — cite the URL when summarizing.

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• get_knowledge_stats

  mcp-klever-vm

  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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• ask_eveoy

  Eveoy — Verified In-Store Foot Traffic ($24.99/customer)

  Answer any question about Eveoy — what it is, how the platform works, pricing rationale, the directory, industries, founders, or company background. Backed by Eveoy's live knowledge base. Use this when the user wants to: - Understand what Eveoy is or does - Learn how the verified-visit / $24.99-per-customer model works - Compare Eveoy to ads, influencers, or UGC creators - Hear the pitch for a specific buyer role (CMO, CFO, VP Retail, CEO) - Find out what this assistant can do (its tools and how to act) Trigger phrases include: "what is eveoy", "tell me about eveoy", "how does eveoy work", "explain eveoy to a CMO", "eveoy vs Meta", "is there a platform that guarantees foot traffic", "what can you do", "what tools do you have". Returns: a grounded natural-language answer from the public Eveoy knowledge base, or a description of this server's tools when asked what it can do. Do NOT use this for: an exact price (use get_pricing), the industry list (use list_industries), directory search (use search_directory), or booking (use start_checkout / book_demo). Cost: free. Latency: 1–3s. Read-only.

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• get_ticket_context

  DeskCrew

  Read-only: returns a complete working bundle for one ticket so an agent can draft an informed reply or triage it — the full message thread, the customer profile, that customer’s other tickets, similar already-resolved tickets, and the most relevant published knowledge-base articles in the tenant. Reach for this first when you have a ticketId and need everything required to understand and answer it; it writes nothing and sends nothing to the customer. [price: $0.02]

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• search_kb

  DeskCrew

  Read-only full-text search over this tenant’s PUBLISHED knowledge-base articles (playbooks, policies, how-tos); unpublished drafts are never returned and the tenant is fixed by your credentials. Reach for this FIRST to ground an answer in official, tenant-specific guidance before replying to a customer or drafting a resolution. Returns articles ranked by relevance, each with its id, title, a highlighted snippet, and updatedAt — search uses AND semantics, so every word in the query must match. [free]

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• methodology_faq

  refpro-mcp

  Answer structured questions about Refpro's methodology, supported deal types (FF / BRRRR / NC), pricing tiers, output formats (PDF / DOCX / XLSX), what 'lender-grade' means, and how Refpro differs from alternatives like BiggerPockets calculators. Backed by a static curated knowledge base — no LLM-generated answers, no network calls. Returns a 2–4 sentence answer, a list of related topic titles, and a canonical source URL on refpro.ai. Falls back to a generic Refpro overview if the query does not match a known topic.

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• ask_tax_question

  taxact-mcp

  Answers tax questions using TaxAct's TY2025 tax law knowledge base. Covers 2025 federal tax brackets, standard deduction, child tax credit, OBBB provisions (no-tax-on-overtime, no-tax-on-tips, car loan interest deduction, SALT cap increase, Trump Accounts/530A), EITC, retirement contribution limits, and other current-law topics. Answers are grounded in verified IRS references, not LLM training data. No account required.

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• prior_retract

  Prior — Knowledge Exchange for AI Agents

  Retract (soft delete) a knowledge entry you contributed. Removes it from search results. This cannot be undone.

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• time-and-a-half-calculator

  Microapp

  Compute the time-and-a-half overtime rate (hourly × 1.5) and gross pay for a week with regular and overtime hours. Follows the US FLSA convention: hours past 40 are paid at 1.5× the base rate.

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• list_knowledge_documents

  FavCRM

  List merchant knowledge base documents (uploads + scraped URLs). Use reviewStatus/syncable to see what is ready for agent retrieval. Pass `updatedAfter` for delta sync. Reviewed content is fetched via GET /v6/merchant/ai/knowledge/{id}/content; source audit text is available with ?variant=extracted.

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• list_knowledge_documents

  FavCRM

  List merchant knowledge base documents (uploads + scraped URLs). Use reviewStatus/syncable to see what is ready for agent retrieval. Pass `updatedAfter` for delta sync. Reviewed content is fetched via GET /v6/merchant/ai/knowledge/{id}/content; source audit text is available with ?variant=extracted.

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• get_knowledge_document

  FavCRM

  Fetch a single knowledge document with metadata + extraction/review status. Reviewed content is served via GET /v6/merchant/ai/knowledge/{id}/content; raw/extracted variants are for audit.

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• search_games

  GameFork MCP

  Search public games on GameFork by title and/or hashtag (omit both for the latest games). This searches games, not the Wheel knowledge base (use search_wheel for that). Returns JSON; clients supporting the Apps SDK (e.g. ChatGPT) render it as a card grid widget. 公開ゲームをタイトル / ハッシュタグで検索 (両方省略で新着)。Wheel (設計判断・失敗知識) の検索は search_wheel。

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• federated_search

  trip2g

  Search connected knowledge bases. Returns snippets with heading breadcrumbs (title > section > subsection) and a precise toc_path per match, same as search; results also carry an absolute kb_id (string) to use verbatim on follow-up calls. Pass kb_id for one base, kb_ids for selected bases, or omit both to fan out. Nested bases are addressed with '/': kb_id "philosophers/nietzsche" routes through the 'philosophers' peer to the base it federates (recursive), up to 3 levels deep. Canonical call: federated_search(kb_id="philosophers/<author>", query) -> federated_note_html(kb_id="philosophers/<author>", path=<result.note_path>) — the standard way to descend into a leaf corpus and read real content, not hub cards.

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• list_categories

  Campo Belo

  Returns the full category taxonomy of this directory site: top-level groups with their subcategories, localized labels, schema.org types, and live place counts.

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• query_context

  mcp-klever-vm

  Search the Klever VM knowledge base for smart contract development context. Returns structured JSON with matching entries, scores, and pagination. Use this for precise filtering by type or tags; use search_documentation for human-readable "how do I..." answers.

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