"A resource for learning and exploring algebra concepts" matching MCP tools:

• searchA

  DC Member APIA

  GET /search — Cross-resource omni-search Cross-resource search across profiles, rooms, messages (incl. private DMs + group DMs you're in), events, and chapters in one round trip. Returns the top-N matches per resource, grouped by resource. Use this when you don't yet know which resource carries the answer — agents typically call this first, then drill into a specific `GET /search/<resource>` for more depth on a single bucket. There's no page param: when you hit the per-resource limit and want more, switch to the per-resource endpoint for that one. The events slice has a baked-in forward-looking default (events ending in the last 30 days or later, and currently enabled) — this matches the in-app "Search across DC" surface. Use `GET /search/events` directly to look further back in time. **Query syntax (`q=`):** plain words match with prefix + typo tolerance. Wrap a phrase in double quotes to require an exact ordered match — e.g. `q="remote work"`. AND/OR/NOT/parentheses are NOT parsed in `q=` — use the structured filter params below for boolean composition.

  ConnectorOAuth

• 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

• simulation.recover_resourceA

  Cloud World ModelA

  Recover one reversible failed resource in a temporary anonymous demo simulation. No API key required for this temporary anonymous demo operation. Lower traffic to a serviceable level first, then provide resourceId or resourceName from simulation.create, simulation.step, or simulation.metrics. This deactivates applicable instance_down/database_overload failures for only the selected resource and returns recoveryProgress with parked, cooling_down, or healthy state plus cooldown counters. It cannot restore an instance_kill because that failure permanently removes the resource. The likely next tool is simulation.step; keep stepping and inspect the targeted resource until recoveryProgress.state is healthy. Pass simulationId from simulation.create when using a fresh MCP session; a preserved session may omit it. Authenticate with an API key to unlock all 63 tools and unlimited simulations.

  ConnectorNo auth

• fetchA

  OneQAZ Trading IntelligenceA

  Purpose: ChatGPT-connector-standard document fetch by id from `search` results. Namespaces: `tool:{name}` returns the tool's full documentation and how to call it; `resource:{uri}` returns the resource's live data (core resources resolved server-side — also the bridge for clients without MCP resource support, e.g. Gemini); `signal:{market}:{symbol}` returns the symbol's latest combined research signal. Triggers: ChatGPT connectors / Deep Research call this after `search`. Clients without MCP resource support can call it directly with a known resource id, e.g. fetch("resource:market://global/summary"). When to call: whenever the full content behind a search result id is needed. Prerequisites: a valid id — from `search` results or a known namespace id. Next steps: for tool docs, call the named tool via tools/call; for signals, get_signal_detail / explain_decision for deeper evidence. Caveats: uncovered resource uris return description-only text (no fabricated data). `text` is a JSON document for resource/signal ids. Output: {id, title, text, url, metadata, disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape.

  ConnectorNo auth

• 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

• list_skillsA

  mcpA

  START HERE for any open-ended request. Lists the task playbooks this server supports — systematic learning from bookmarks, organising into themes, cleaning up, X-list intelligence, exporting data out, finding a half-remembered save, digests, and diagnosing sync. Each names when to use it; call get_skill for the exact tool sequence.

  ConnectorNo auth

• get_resourceA

  nope-mcp — Open Educational Resources searchA

  Retrieve a single piece of content by naddr (preferred — pass a search_content result's naddr), d-tag identifier, or event ID. naddrs of ANY content type from search_content work (resources, articles, wikis, projects, measures, publications); non-resource kinds return the same shape as their search results. Bare identifier/eventId lookups (no naddr) always resolve the full educational-resource metadata (kind 30142), including creator/publisher and educational properties. Lookups are not license-filtered: a learning resource carries openLicense (true for CC0, Public Domain, CC BY, CC BY-SA — the open licenses that search results are currently limited to). When presenting the resource, render a markdown link the user can open: prefer its sourcePage (the original source page); fall back to url (the edufeed viewer) only when sourcePage is absent.

  ConnectorNo auth

• save_vocabularyA

  FablingA

  Use this when the learner explicitly asks to save Spanish or French words for later practice, mark words as learning, or correct words they already know in Fabling. Set up to 20 resolved words to known or learning. Resolve lemma IDs first and clarify ambiguous meanings or status. Do not infer permission from a quiz answer or mark words known automatically. This is a learner correction, not a mastery assessment. Requires vocabulary write permission. Reuse actionId only for retries.

  Connector

  Destructive

  OAuth

• 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_nowA

  Cameron Rye Portfolio MCP ServerA

  Return what Cameron is currently working on, learning, building, reading, and up to in life — the live /now page sections.

  ConnectorNo auth

• get_my_briefingA

  welcomeA

  Your daily briefing at The Balanced Investor Club — a read on your own activity: morning brief, journal counts, the instruments you follow, mood highlights, activity, and your learning journey. A mirror, never advice.

  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

• 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

• 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

• search_youtubeA

  YouTube Transcript + YouTube Search MCPA

  Use this when the user wants to find YouTube videos or channels on a topic, for example 'find lectures on linear algebra' or 'popular videos about the Apollo missions', before reading or comparing them. Returns each result's title, video ID, link, channel, views, length, and upload date. Pass `continuation` from a previous response for the next page. Does not return what a video says: call get_youtube_transcript with a result's video ID for that.

  ConnectorOAuth

• vc_marketplace_detailsA

  Vibes-Coded Agent Security and Commerce ToolsA

  Get details for one Vibes-Coded marketplace resource. Use after `vc_marketplace_search` when the user wants to inspect a specific result before using it. Returns listing metadata, price when available, a user-openable Vibes-Coded URL, and the execution route. Read-only and does not execute or purchase the resource.

  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

• legends_search_gamesA

  Legends of LearningA

  Searches the public Legends of Learning game catalog (curriculum-aligned learning games for grades K-12 in math, science, and social studies). Arguments (all optional): `query` free-text matches game titles and vocabulary; `grades` narrows to games for those grade levels (integers, 0 = kindergarten through 12); `game_type` is one of "instructional", "question", or "simulation"; `learning_objective_ids` narrows to games aligned to those learning objectives (get ids from legends_browse_standards); `page` (default 1) and `page_size` (default 10, max 25) paginate. Returns `games` (each with id, title, description, image, estimated_duration in minutes, type, grades served, teacher/student ratings, and the game's public url) plus `page`, `page_size`, `total_entries`, and `total_pages`. Example: {"query": "fractions", "grades": [3, 4], "page_size": 5} finds up to five 3rd-4th grade games about fractions.

  ConnectorNo auth