"Resources for Exploring Deep Thinking Concepts" matching MCP tools:

• get_sc_theoryA

  SCModelingA

  Reference guide to supply-chain simulation concepts: ordering policies, BOM, FDD formulas, event-driven simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does this work' question rather than asking for a number.

  ConnectorNo auth

• get_leadproof_evaluation_pathA

  LeadProof Sales AgentA

  Use first when a buyer is exploring LeadProof without supplying workflow data. Returns the official no-purchase sequence: buyer guide, fictional example audit, browser-only calculator, public workflow tests, and no-card trial. For a scored workflow diagnosis, use audit_lead_workflow; for replay testing, use get_leadproof_replay_trial; for paid checkout, use get_leadproof_checkout only after authorization.

  ConnectorNo auth

• read_resourceA

  PRIMAMCPA

  Read a resource by its URI. For static resources, provide the exact URI. For templated resources, provide the URI with template parameters filled in. Returns the resource content as a string. Binary content is base64-encoded.

  ConnectorAPI key

• read_resourceA

  PRIMAMCPA

  Read a resource by its URI. For static resources, provide the exact URI. For templated resources, provide the URI with template parameters filled in. Returns the resource content as a string. Binary content is base64-encoded.

  ConnectorAPI key

• smi_get_deep_reportA

  SMI Aware AssistantA

  Fetches a single SMI deep report by id. Research Bundles are deep-report products, so use this tool for a Research Bundle id too rather than constructing a research_bundle: reference for the generic fetch tool. Accepts product-prefixed ids: RB-11751 (Research Bundle) and DR-11751 (Deep Report) both resolve here.

  ConnectorOAuth

• autonomous_varrd_aiA

  VARRD — Statistically Validated Trading Edges + AI Research EngineA

  Point VARRD's autonomous AI in a direction and let it discover edges for you. Give it a topic and it draws from one of the most comprehensive market structure knowledge graphs ever built — containing ideologies and theories, not statistics — so it generates genuinely novel hypotheses rather than overfitting to what already worked. BEST FOR: Exploring a space broadly. Give it 'momentum on grains' and it might test wheat seasonal patterns, corn spread reversals, or soybean crush ratio momentum. It propagates from your seed idea into related concepts you might not think of. Returns a complete result — edge or no edge, stats, trade setup. Each call tests ONE hypothesis through the full pipeline (~$0.25/idea). Call again for another idea. Use 'varrd_ai' instead when YOU have a specific idea to test and want full control over each step.

  ConnectorNo auth

• edgar_company_factsA

  EdgarA

  AUTHORITATIVE full XBRL fundamentals dump for a US public company. Send the company as `cik` — that argument takes a TICKER ("NVDA") or a CIK ("320193"), and `ticker` / `ticker_or_cik` are accepted as aliases for it. Returns every reported financial metric (hundreds of concepts: revenue, net income, assets, liabilities, EPS, cash flow lines, segment breakdowns) with annual and historical values pulled straight from the company's SEC filings — the official numbers, not estimates. Use when you need the complete fundamental picture vs. one metric (for one metric use edgar_company_concept). Leads with latest_annual — revenue, net income, assets, cash, EPS for the most recent fiscal year, resolved to whichever XBRL concept the filer currently reports under — and flags retired concepts (e.g. a pre-ASC-606 Revenues tag) as stale so a 2010 figure is never mistaken for current. Large payload; agents typically use this once to discover available concepts then narrow to edgar_company_concept for follow-up queries. For just the headline figures plus the recent filings list, edgar_company_snapshot is the smaller one-call answer.

  ConnectorNo auth

• list_categoriesA

  raumnebenanA

  Returns a list of all available product knowledge categories, each with a short description. Categories represent the main pillars of Product Thinking – Foundation, Sense, Focus, Discovery, and Delivery. Each category provides structured resources for product owners, designers, and teams, covering groundwork, user research, opportunity analysis, validation, and agile delivery. Use this tool to guide users to the right area for their current product challenge.

  ConnectorNo auth

• explain_conceptA

  ReliaSimA

  Definitional primer for ReliaSim's framework concepts — Constraint, Buffer, Interrupt, Converter, cascading losses, OEE, Gain/Loss methodology, Buffer Tradeoff. Returns bundled theory content, NOT interpretation of any specific simulation run. Use for 'what is X?' / 'how does X work?' / 'explain the framework' questions. For line-specific claims (throughput, availability, what-if), call the sim tools instead.

  ConnectorNo auth

• dataset_detailsA

  Opendata SwissA

  Full metadata for one dataset (CKAN package_show) including its resources/distributions with download URLs. Use a dataset `name` (slug) or id from search_datasets. There is no datastore, so fetch `resources[].download_url`/`url` for the underlying data.

  ConnectorNo auth

• edgar_get_factsA

  SEC EDGARA

  Get XBRL-structured financial facts for a company (revenue, operating income, net income, cash, assets, etc.). Accepts common-name aliases ('revenue', 'eps') OR XBRL concepts ('Revenues', 'EarningsPerShareDiluted'). Returns one row per (fiscal_year, fiscal_period), preferring latest-filed when amendments exist.

  ConnectorNo auth

• delete_angleA

  GrowomatA

  Delete an angle. Its concepts are deleted with it; ads keep their stamp (dangling but queryable). Scoped to the active Space — see set_active_space to switch, or pass space_id to override for this one call.

  Connector

  Destructive

  API key

• read_docA

  Vector Panda DocumentationA

  Fetch the full Markdown of one document by its site path (for example /docs/concepts/embeddings-101), as returned by search_docs.

  ConnectorNo auth

• resolve_symbolA

  Titan Frameworks (LangChain, LlamaIndex, Ollama, XRPL)A

  Map an API name to the current package, install line, import, and call shape (ChatOpenAI, create_agent, VectorStoreIndex, xrpToDrops, …). Use when you know the symbol but not where it lives. Prefer search_ai_framework_docs for concepts and fetch_latest_syntax for topic snippets. Paid tools/call: $0.001 USDC or 1000 drops XRP; catalog-backed.

  ConnectorNo auth

• get_quick_startA

  tridentA

  Returns a condensed 2-minute quick-start guide with minimal working examples, core syntax reference, and key concepts. Use this for rapid learning when you need to generate simple diagrams quickly.

  ConnectorNo auth

• traverse_graphA

  RationalBloksA

  Walk the graph from a starting node, discovering connected knowledge. Returns all nodes reachable within max_depth hops, with their distance from the start. Essential for exploring knowledge graphs — find related concepts, trace connections, discover clusters. Example: Start from "Alan Turing", traverse outgoing relationships up to 3 hops deep: start_entity_type: "person" start_entity_id: "alan-turing-001" max_depth: 3 direction: "outgoing" Supports filtering by relationship types and direction.

  ConnectorNo auth

• start_hereA

  welcomeA

  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.

  ConnectorNo auth

• library_searchA

  luxalgo-mcp-serverA

  Search the LuxAlgo Library — the encyclopedia of trading and technical analysis. One query over 800+ concepts (alias-aware: 'stochastics' finds Stochastic Oscillator) and 800+ ready-to-use indicators. Start here whenever you have a name, informal term, or topic; results carry slugs for the get tools plus canonical URLs for citation.

  ConnectorNo auth

• suggest_queriesA

  ThinAir DataA

  Generate schema-aware query suggestions with ready-to-run SQL. Great for exploring unfamiliar databases or finding useful queries.

  ConnectorOAuth

• onchain_agent_list_wiki_pagesA

  Sato Hub: Onchain AgentsA

  USE WHEN you need the slug for a crypto-agent explainer before calling onchain_agent_get_wiki_page, or want to see which concepts have a sourced page you can cite. Lists every Onchain Agent wiki page (slug, title, keyword, summary, last_updated). Returns (json): { total, pages: [...] }. Read-only.

  ConnectorNo auth

• edgar_company_factsA

  LiveDataLinkB

  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.

  ConnectorNo auth