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347,226 tools. Last updated 2026-07-30 23:03

"Creating a Graph on Vector Knowledge Base Using CozoDB" matching MCP tools:

  • Search official Microsoft Knowledge Base articles on support.microsoft.com by topic or keyword — use for Windows update, patch, and known-issue lookups when you lack a KB number. Returns matching KB article titles and URLs. Use get_kb_article to fetch the full content of a specific article. Returns: Dictionary with 'results' key containing list of matching KB articles with title and url.
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  • 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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  • Ask Alti, Christian Perez's AI agent, a single question about Christian — his work at Altivum, The Vector Podcast, his book 'Beyond the Assessment', his military service as a Green Beret, or his AWS / Applied AI engineering practice. Returns a concise 2-4 sentence reply grounded in Christian's published writing and autobiography. Does NOT answer general knowledge questions.
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  • List all brands, locations, technologies, audiences, or trends within a specific knowledge graph. Use to explore what a graph contains — e.g., "what brands are in the retail graph?" or "what locations does the fashion graph cover?". To get a complete list of every trend in a graph, call with label="Trend" — this returns the full deterministic list, useful for industry-report graphs where search may return partial results.
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  • Consult a named Synthetic Analyst who answers in their expert voice using their curated knowledge graph — one-off questions or multi-turn engagements (pass session_id back to continue). Each analyst has a unique methodology, domain expertise, and analytical lens that produces insights distinct from generic search or standard graph queries. For company-specific executives (e.g. "Nike CMO", "Apple CEO", "Target CFO"), you can pass analyst_id: "brand-cmo" with company: "Nike", or pass analyst_id: "Nike CMO" directly (auto-resolves to analyst_id: "brand-cmo" and company: "Nike"). Call list_analysts first to discover available analyst_id values. Responses may include a coverage status (in/adjacent/out), source attribution, and referrals to other expert graphs. Referrals MUST be presented in third-person platform voice (not the expert's voice) with an offer to query the referred graph. The analyst researches on your behalf: they can search Fodda's graphs, earnings intelligence, and supplemental data mid-consultation, and may refer or consult other analysts. Their research reads bill to you at standard rates ($0.50/call) and are itemized in `sources_used`.
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  • Find ENS names semantically similar to a given name using vector embeddings across 3.5M indexed ENS names. Returns similar names with similarity scores, status (REGISTERED / GRACE_PERIOD / PREMIUM_AUCTION / AVAILABLE), and live marketplace data. Names in GRACE_PERIOD are NOT registerable by anyone but the original holder.
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  • AI-powered knowledge base for Double - Thank You with semantic search and question answering.

  • Search verified local businesses, check what their verification proves, and message them.

  • Google web search via Serper: returns organic results (title, link, snippet, position), an answer box if present, and a knowledge graph summary. Accepts query, result count (max 20), and optional country code (gl) and location for geo-targeted results.
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  • 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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  • Semantic search over the workspace knowledge base. Returns the most relevant chunks (with source document title and similarity score) for a query. Only searches documents that have finished training (status READY).
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  • List all knowledge graphs the user can access — IDs, descriptions, authors, sectors, signal counts. Use FIRST in any session to discover available sources before searching. Returns graph metadata needed for graphId parameters in other tools. Deprecated: waldo, psfk (use retail/tech/food/travel/fashion/beauty/sports instead).
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  • Buy an Ondo tokenized stock using USDC from the user's Gitbank vault. Bridges USDC from Base to Solana via CCTP, swaps for Ondo stock on Jupiter, and mints a soul-bound gitStock token on Base as proof of custody. Returns a confirm_code the user must post on GitHub to authorize.
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  • Semantic-only vector search over the memory, returning source excerpts. Prefer cortex_ask, which also uses full-text and graph expansion; reach for this when you specifically want nearest-neighbour matches on meaning.
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  • Artists related to a seed artist — the drop-in for Spotify's removed GET /v1/artists/{id}/related-artists. No artist graph exists, so we derive one: build the seed artist's track-vector centroid, take its nearest catalogue tracks, aggregate by artist (each scored on its top-3 track similarities so a prolific artist can't dominate) plus a same-genre lift and a cross-genre penalty. Returns `artist`, `count`, and `related` (each {artist_name, score, match_count, sample_track_id}). Pass a sample_track_id straight to get_audio_features or suggest_next_track. Costs 2 quota units.
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  • Add a free-form text document to the knowledge base. Use for pasted policies, FAQs, internal notes, brand voice references — anything the agent should be able to retrieve later. Stored as a single document; agent-side embedding/retrieval happens elsewhere.
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  • Create a new agent knowledge base entry, or update one when `id` is provided. Mirrors POST /api/v1/knowledge. Creating requires title, content, and content_type.
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  • Walk the knowledge graph around an entity: teachers and students (STUDIED_UNDER), exhibition participation, museum holdings (HELD_BY), memberships, awards. entity_type ∈ artist|work|exhibition|organization. Every edge carries its source citation and the target's URL.
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  • List all brands, locations, technologies, audiences, or trends within a specific knowledge graph. Use to explore what a graph contains — e.g., "what brands are in the retail graph?" or "what locations does the fashion graph cover?". To get a complete list of every trend in a graph, call with label="Trend" — this returns the full deterministic list, useful for industry-report graphs where search may return partial results.
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  • The Knowledge Base pages for this product: the shared memory the growth marketing engine drafts from (business basics, audience, competitors, the voice samples, recent observations). Returns summaries with a size hint; fetch one page body with get_kb_page. Read-only, free.
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  • Answer a specific question about one business, grounded in that business's own knowledge base (FAQs, policies, service descriptions) rather than model guesswork. Returns 'unknown' when unanswerable — never fabricates. Returns: {answer, confidence: 'high'|'low'|'unknown', source: 'faq'|'policy'|'services'}
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  • Score an x402 seller wallet BEFORE paying it: verdict TRUSTED/CAUTION/AVOID + confidence from its on-chain settlement graph on Base — settlement count, unique paying counterparties, wallet age, wash-trade and sybil signals — with a signed, offline-verifiable receipt. Vet an unknown x402 endpoint or merchant wallet before you pay: scam, fake-volume wash-trader or sybil cluster? Agent counterparty risk, seller reputation and trust score for x402 / agentic payments. Price: $0.01 per call (x402 payment, USDC on Base mainnet).
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