"Basic concepts and understanding of memory" matching MCP tools:

• get_demo_demographicsA

  FinchNode Synthetic Health RecordsA

  Use this to get only the basic details (demographics) of FinchNode's fixed fictional sample EMR: Name, birth date, sex, contact information, normalized from FHIR R4 Patient. No account or API key. To get basic details together with other categories, call get_demo_health_record once instead of calling several of these tools.

  ConnectorNo auth

• connectA

  Penfield MemoryA

  Connect memories to build knowledge graphs. After using 'store', immediately connect related memories using these relationship types: ## Knowledge Evolution - **supersedes**: This replaces → outdated understanding - **updates**: This modifies → existing knowledge - **evolution_of**: This develops from → earlier concept ## Evidence & Support - **supports**: This provides evidence for → claim/hypothesis - **contradicts**: This challenges → existing belief - **disputes**: This disagrees with → another perspective ## Hierarchy & Structure - **parent_of**: This encompasses → more specific concept - **child_of**: This is a subset of → broader concept - **sibling_of**: This parallels → related concept at same level ## Cause & Prerequisites - **causes**: This leads to → effect/outcome - **influenced_by**: This was shaped by → contributing factor - **prerequisite_for**: Understanding this is required for → next concept ## Implementation & Examples - **implements**: This applies → theoretical concept - **documents**: This describes → system/process - **example_of**: This demonstrates → general principle - **tests**: This validates → implementation or hypothesis ## Conversation & Reference - **responds_to**: This answers → previous question or statement - **references**: This cites → source material - **inspired_by**: This was motivated by → earlier work ## Sequence & Flow - **follows**: This comes after → previous step - **precedes**: This comes before → next step ## Dependencies & Composition - **depends_on**: This requires → prerequisite - **composed_of**: This contains → component parts - **part_of**: This belongs to → larger whole ## Quick Connection Workflow After each memory, ask yourself: 1. What previous memory does this update or contradict? → `supersedes` or `contradicts` 2. What evidence does this provide? → `supports` or `disputes` 3. What caused this or what will it cause? → `influenced_by` or `causes` 4. What concrete example is this? → `example_of` or `implements` 5. What sequence is this part of? → `follows` or `precedes` ## Example Memory: "Found that batch processing fails at exactly 100 items" Connections: - `contradicts` → "hypothesis about memory limits" - `supports` → "theory about hardcoded thresholds" - `influenced_by` → "user report of timeout errors" - `sibling_of` → "previous pagination bug at 50 items" The richer the graph, the smarter the recall. No orphan memories! Args: from_memory: Source memory UUID to_memory: Target memory UUID relationship_type: Type from the categories above strength: Connection strength (0.0-1.0, default 0.5) ctx: MCP context (automatically provided) Returns: Dict with success status, relationship_id, and connected memory IDs

  ConnectorOAuth

• secedgar_get_snapshotA

  secedgar-mcp-serverA

  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.

  ConnectorNo auth

• uae_gratuityA

  Xearno ToolsA

  Your end-of-service gratuity under Decree-Law 33/2021 Art. 51 — basic wage, no resignation penalty — plus the savings-scheme comparison. Computes the end-of-service gratuity (مكافأة نهاية الخدمة) under UAE Decree-Law 33/2021: 21 days of basic wage per year for the first five years of service, 30 days per year after, on the LAST basic wage only, capped at two years' wage — and, in compare mode, the monthly contribution the voluntary savings scheme (Cabinet Resolution 96/2023) would pay instead. General AI reliably gets the UAE wrong in two ways: it cites the ABOLISHED 1980-law rules (limited/unlimited contracts, the 1/3–2/3 resignation penalty, forfeiture on dismissal — all gone since February 2022), and it ports Saudi rules across the border (KSA uses the actual wage including allowances, keeps a resignation ladder, and zeroes the award on an Art. 80 dismissal; the UAE does none of those). Mainland UAE only — DIFC (DEWS) and ADGM have their own regimes.

  ConnectorNo auth

• manage_api_keyA

  maginary-mcpA

  Create, list, or revoke Maginary API keys (up to 10 per account). Auth: pass ``email`` + ``password`` for Basic auth (onboarding), or omit both to use the configured API key (normal operation). Args: action: One of ``create``, ``list``, ``revoke``. name: Key name (required for ``create``). key_prefix: 8-char prefix of the key to revoke (required for ``revoke``). email: Account email (for Basic auth). password: Account password (for Basic auth). Returns: For ``create``: dict with ``raw_key`` (the full key — show once, then use ``configure_api_key`` to activate it), ``key_prefix``, ``name``. For ``list``: dict with ``keys`` array. For ``revoke``: success/error message.

  Connector

  Destructive

  No auth

• enrich_providerA

  apis-ioA

  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.

  ConnectorNo auth

• insights_industriesA

  apis-ioA

  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.

  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

• get_trident_specA

  tridentA

  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.

  ConnectorNo auth

• tf_premium_briefingA

  terminalfeedA

  Premium version of tf_briefing. Adds Polymarket prediction markets to the standard briefing payload and supports section filtering via ?include=. Covers earthquakes, Hacker News, humans in space, space launches, and prediction markets. Costs 1 credit ($0.02 USDC). Requires Authorization: Bearer tf_live_<64-char-hex>. Use when the agent needs prediction-market context in addition to the basic snapshot. Strict premium, no free trial. Free basic version (without predictions) available at tf_briefing (no auth required). Note: crypto legs (BTC price, Fear and Greed) were removed 2026-07-23 for market-data licensing compliance.

  ConnectorNo auth

• get_mission_statsA

  mcp-serverA

  Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.

  ConnectorNo auth

• get_knowledge_statsA

  mcp-klever-vmA

  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.

  ConnectorNo auth

• vector_quantizeA

  IA-QA — 130+ QA & Dev Tools for AI AgentsA

  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.

  ConnectorNo auth

• billing.statusA

  Admin SubstituteA

  Check subscription status, plan details, billing cycle, and feature access. Useful for understanding what the business can and cannot do on their current plan.

  ConnectorNo auth

• get_categoriesA

  FundingLandscapeA

  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.

  ConnectorNo auth

• list_knowledgeA

  Santismm Knowledge — Harness Engineering, Agentic AI & GovernanceA

  List all knowledge units (concepts on agentic & enterprise AI) with slug, category, title, summary and Evidence-First provenance. Use this to browse the domain; use `search` when you have a question rather than a slug.

  ConnectorNo auth

• 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

• check_account_statusA

  maginary-mcpA

  Check account verification status, credit balance, and API key count. Use this after ``create_account`` to poll whether the user has clicked the verification link. Pass ``email`` + ``password`` (from ``create_account``) for Basic auth, or omit both to use the configured API key. Args: email: Account email (for Basic auth). password: Account password (for Basic auth). Returns: Dict with ``verified`` (bool), ``email``, ``api_key_count``, ``credits_remaining``, ``uploads_remaining``.

  ConnectorNo auth

• web_snapshotA

  Robot Actions — Remote Device ControlA

  Accessibility tree of the DESKTOP grid browser page (by pageId), as text — for finding elements and understanding layout. Not a device: the equivalent for a phone or tablet is webpage_snapshot (by udid).

  ConnectorOAuth

• 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

• get_company_insightA

  apis-ioA

  UNDERSTANDING — Full demand-side profile for one company: 40-dimension readiness scores, adopted stack, and per-quarter history. Priced B2 (cross-catalog synthesis) — $0.05 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.

  ConnectorNo auth