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650,522 tools. Updated 2026-10-14 04:13

"Exploring the Concept of Thinking Carefully" matching MCP tools:

  • Get Venture Insights' live service catalogue: the FREE Concept Diagnostic (a research-backed viability study of one venture concept, delivered to the founder's inbox) and the paid study tiers with live SAR prices. Call this first when your user asks what Venture Insights offers, what it costs, or whether the free diagnostic is worth requesting.
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  • Add an identity concept at zero usage, or add text as an alias using alias_of. Requires editor; resolution may incur embedding/judge cost. Probe first; if the text already resolves to an incumbent, offer that concept instead of blindly retrying. Aliases resolving to another concept are refused. embedding_model selects a new type's space only. Returns concept details and link; manage existing aliases with update_concept_alias. See enricher://docs/semantic-ids.
    ConnectorOAuth
  • Search the recipe collection semantically (dense + ColBERT hybrid) to gather the members of a theme. Pass a rich natural-language concept, not just a keyword — e.g. 'cozy cold-weather baked desserts', 'bright summer salads with fresh vegetables', 'Latin American and Caribbean mains', 'anything featuring apples'. Returns up to `limit` compact hits {id,title,cuisine,dietary,cookbook}. Call once per theme concept; call again with a broader/narrower query if a group is too small or too big. Do NOT rely on cuisine labels alone — many recipes are unlabelled and only reachable by concept search.
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  • Build a company financial profile in one call: the latest value of every supported XBRL concept, grouped by statement. Reads the filer's complete companyfacts payload once rather than one request per concept, so it replaces a run of secedgar_get_financials calls when the question is "what do this company's financials look like right now". Values use the same frame dedup and tag priority as secedgar_get_financials, so the two agree for any concept they both cover. Duration concepts (income statement, cash flow, per-share) report their latest full year and latest single quarter; balance-sheet and entity-info concepts report their latest point-in-time value, since that is the only form they are filed in. A concept the filer does not report is listed under gaps with the XBRL tags that were tried — never zero-filled or interpolated. Use secedgar_get_financials for a full time series of one concept, and secedgar_compare_companies to put several companies side by side.
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  • Search the EuroVoc thesaurus, resolving a keyword into concept URIs usable in the eurovoc_concept subject filter of eurlex_search_documents. Matches both preferred and alternative (non-preferred) labels, so a common synonym reaches the concept it stands for. Returns each concept URI, its preferred label in the requested language, code, broader (parent) label, and the alternative label that matched when one did. Concepts with an exact label match come first, then those whose label or one of its words starts with the keyword, then other substring matches, each group ordered by preferred label.
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  • The eight thinking-failure problems ContextOverflow covers, phrased the way a human experiences them. Start here to see what exists.
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Matching MCP Servers

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    Enables LLMs to perform conceptual search over local PDF/EPUB documents using a RAG pipeline with corpus-driven concept extraction and WordNet enrichment.
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    MIT
  • A
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    Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r
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    19 npm
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    MIT

Matching MCP Connectors

  • Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…

  • x402 game: take the crown, each take raises the next price 1.5x. hill_status is free.

  • The full XBRL-to-JSON converter. By default returns a company's normalized income statement, balance sheet and cash flow across every reported period, plus a concept index of every us-gaap/dei tag it reports. Pass `concept` to pull the raw time series for any specific tag(s) beyond the curated fundamentals; pass `accession` for every concept reported in one specific filing.
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  • The full XBRL-to-JSON converter. By default returns a company's normalized income statement, balance sheet and cash flow across every reported period, plus a concept index of every us-gaap/dei tag it reports. Pass `concept` to pull the raw time series for any specific tag(s) beyond the curated fundamentals; pass `accession` for every concept reported in one specific filing.
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  • Start exploring The Balanced Investor Club. A calm orientation — what we are, what the community is watching right now, and what to try next. Recommended as your first call.
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  • Return the authoritative source URL and content hash for a NemoClaw concept node. Every node in the CKG was declared from a specific source document. This tool returns the source URL (where the node came from) and the SHA-256 hash of that document's bytes at extraction time. A hash mismatch on re-fetch means either the source has changed (stale edge — re-extract) or the graph was patched without re-fetching (silent edit — investigate). Audit chain: edge answer → graph commit → source_hash → source_url (fetch hint) Verification: curl -s <source_url> | sha256sum # compare output to source_hash Args: concept: Exact or partial concept label (e.g. 'CorporateCA', 'L7Proxy').
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  • Get structured XBRL financial facts for a company. Without 'concept', returns the top-level facts catalog (concepts the company has reported). With 'concept' (e.g. 'Revenues', 'Assets', 'EarningsPerShareBasic'), returns the time series of values for that concept.
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  • Traverse the AgentForce knowledge graph from any concept. Returns prerequisites (what this concept needs) and dependents (what it enables). Every relationship traces to an authoritative Salesforce doc URL. Args: concept: Concept name — e.g. 'Autonomous Resolution', 'Einstein Trust Layer', 'Service Agent', 'Grounding', 'NVIDIA NIM'. depth: Traversal depth 1–5 (default 3).
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  • Current odds for upcoming + live events in a league. Each market type costs 1 quota credit per region per call — pick markets carefully.
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  • Get all concepts directly connected to a given concept, with the relation type and confidence of each edge. Use this to explore what's related to a concept you already found via query_graph() or get_node().
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  • Returns instructions for integrating PropelAuth in a backend framework such as Python, FastAPI, Django, Flask, Rust, Node, Go, Express, and .NET. Guidance includes installation and configuration, protecting API routes, and checking org membership and permissions. It is important to follow the instructions carefully to ensure a successful integration. Do not update the guidance argument unless the user explicitly requests it.
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  • Search the Standard Ebooks catalog of carefully typeset, public-domain ebooks by title, author, or subject keyword. Returns title, author, language, description, subjects, cover image URL, and direct download links (EPUB, advanced EPUB, Kobo Kepub, Kindle AZW3, XHTML). Sortable by newest, author name, reading ease, length, or popularity. Data: standardebooks.org OPDS 2.0 JSON feed, no auth required.
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  • Get DuckDuckGo related/disambiguation topics for a query — a flattened list of related concepts, categories, or alternate meanings, each with a title and DuckDuckGo link. Useful for exploring ambiguous or broad queries (e.g. a name that maps to multiple people, or a category like "coffee"). Data: DuckDuckGo Instant Answer API (api.duckduckgo.com), no auth required.
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  • Cross-jurisdiction view of one legal concept: every provision tagged with the given EuroVoc concept, with tagging method and confidence. E.g. 'eurovoc:4585' (VAT), 'eurovoc:4392' (VAT rate). The language-neutral way to line up EU and national law on the same subject.
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  • Find curriculum elements shared between two or more subjects at the same grade level. Identifies overlapping competencies, big ideas, and content across subjects. Essential for interdisciplinary planning. Args: - subjects (string[]): Two or more subject slugs to compare (e.g., ['science', 'adst']) - grade (integer): Grade level (0=K, 1-12) - focus (string, optional): Which element to compare ('big_ideas', 'competencies', 'content', 'all'). Default 'all'. - query (string, optional): Narrow to a specific concept (e.g., 'evidence', 'design thinking') - limit (integer, optional): Max connections to return (default 20, max 50) Returns: Groups of curriculum items connected by shared language across subjects.
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  • Return the typed subgraph around a NemoClaw concept. Args: concept: Exact or partial concept label (e.g. 'OpenClaw', 'NetworkPolicy', 'L7Proxy'). depth: Traversal hops (1–5, default 3).
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