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

• la_query

  Data La

  Run a raw SoQL query against any Los Angeles open-data resource (data.lacity.org) by its Socrata id (8-char like "2nrs-mtv8"). Full SoQL: where/select/group/order/limit/offset. Use la_datasets to find a resource id, or la_recent for the common ones.

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• convert_to_terraform

  Control Plane

  Convert a Control Plane resource manifest (YAML or JSON) into the equivalent Terraform (HCL). The manifest is first DRY-RUN VALIDATED against the API (no resource is created) — if it fails validation you get the error instead of HCL, so the returned Terraform always corresponds to a schema-valid resource. Pass `gvc` when the kind is GVC-scoped (workload, identity, volumeset). Set `generateImports` to also return ready-to-run `terraform import` commands. To convert an EXISTING resource instead of a manifest, use export_terraform.

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• edgar_company_facts

  Edgar

  AUTHORITATIVE full XBRL fundamentals dump for a US public company by CIK. 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). Large payload; agents typically use this once to discover available concepts then narrow to edgar_company_concept for follow-up queries.

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• call_creative_worlds

  Heista

  Heista's creative direction engine — same engine the Creative Director specialist runs internally, exposed over MCP. ONE-SHOT: give a brief, get N finished creative outputs. For back-and-forth refinement, or output shapes the `medium` enum below does not cover, use chat_with_creative_worlds instead. OUTPUT SHAPE switches on the `medium` arg: • omitted → N territory cards (default exploration). Each card sits on different psychology / craft / feel / world axis coordinates so the set spans the creative space rather than orbiting one insight. Card has: name, campaign line, 5-8 sentence pitch, one-sentence strategic bet, resolved axis state names, creative-director rationale. • `tvc` → N TVC scripts (15-90s — hook, arc, resolve, sound design, end line). • `billboard` / `ooh` / `print` → N out-of-home concepts (visual concept + line + placement rationale). • `social` → N social-video concepts (hook + format type + middle beat + payoff, optimised for Reels / TikTok / Shorts). • `activation` / `experiential` → N activation concepts (space design + user journey + peak moment + takeaway artifact). • `audio` → N sonic / radio concepts (sonic scene + voice + audio arc). • `campaign` → N full campaign platforms (insight → big idea → strategy → visual world → production roadmap). The engine can also produce manifesto / copy, naming, packaging, PR stunts, content series, brand positioning, partnerships — these output shapes are NOT in the medium enum, so use chat_with_creative_worlds when the user wants one of those. USE WHEN: user says "give me ideas / options / directions / territories", "what angles work for...", "show me three / five ways to...", "write a TVC for...", "draft billboard concepts for...", "I need fresh thinking on...". DO NOT USE to refine one existing direction (use chat tool), to critique work, for OKRs / internal docs / strategy decks, or anything outside advertising creative direction. INPUTS: brief (the creative problem, free text), count (2-6 concepts), optional brand_id (from list_brands or any create_powersource_* — when provided the engine grounds output in the brand's buyer tensions, voice, and selling points), optional medium (above), optional lens_hint (apply a playbook or signature move as a creative constraint), idempotency_key (safely retryable for 5 minutes). Returns the finished creative output as narrative text PLUS a structured array of resolved axis coordinates for programmatic use. Metered — typically 3-15 credits per call depending on count and brand context size. Charged after success on actual token usage.

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• search

  DC Member API

  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.

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• delete_resource

  Control Plane

  Delete one Control Plane resource by `kind` + `name` — the single delete tool for every deletable kind. Deletes on the call (your client confirms the write first). Before calling, read the resource and tell the user what the deletion removes and which dependents break, and proceed only on their explicit approval. Deletion is permanent. Never invent a name.

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• autonomous_varrd_ai

  VARRD — Statistically Validated Trading Edges + AI Research Engine

  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.

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• prior_status

  Prior — Knowledge Exchange for AI Agents

  Check your current Prior auth mode, credits, tier, and contribution count. Also available as a resource at prior://agent/status.

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• quizbase_subcategories

  QuizBase

  Raw subcategory dump (LLM-organic kebab-case, middle taxonomy layer between category and tags) with display label and count. USE WHEN: navigating between top-level category and individual tags, exploring topic structure. Filter questions via quizbase_random?subcategory=<slug>. INPUTS: q, cursor, limit (max 500).

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• get_sc_theory

  SCModeling

  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.

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• resource_data

  Dane Gov Pl

  Read row-level data from a tabular resource (one with a tabular_data relationship). Returns JSON:API "row" objects whose attributes map column names (col1, col2, ...) to {repr, val} pairs. Supports paging and full-text row filtering via q. Use list_resources first to find a tabular resource id.

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• get_demo_guide

  eDiscovery Decoder News/Calc

  Return a short, human-readable walkthrough for testing this server: the endpoint, the tool/prompt/resource names, and ready-to-paste sample prompts. Use to give someone a guided demo. For the full machine-readable capability catalog, use list_capabilities instead.

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• kcmo_query

  Data Kcmo

  Run a raw SoQL query against any Kansas City, MO open-data resource (data.kcmo.org) by its Socrata id (8-char like "vsgj-uufz"). Full SoQL: where/select/group/order/limit/offset. Use kcmo_datasets to find a resource id, or kcmo_recent for the common ones.

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• montreal_query

  Data Montreal

  Query any City of Montreal datastore resource (donnees.montreal.ca, CKAN) by its resource id (a UUID). Supports a free-text `q`, exact-match `filters` (field→value), `sort` ("field desc"), limit and offset. Use montreal_datasets to find a resource id, or montreal_recent for the common ones.

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• austin_query

  Data Austin

  Run a raw SoQL query against any Austin open-data resource (data.austintexas.gov) by its Socrata id (8-char like "fdj4-gpfu"). Full SoQL: where/select/group/order/limit/offset. Use austin_datasets to find a resource id, or austin_recent for the common ones.

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• get_cpln_rules

  Control Plane

  Returns the Control Plane operating guide — the resource model, how secrets/images/workloads/domains fit together, production-grade defaults, how to verify a change landed, and how to handle failures. Read it once per session before the first create/update/delete, and any time a multi-resource task spans unfamiliar ground.

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• get_resource

  Control Plane

  Fetch one Control Plane resource by `kind` + `name` (no `name` for kind="org"). Returns a summary plus the full JSON. The single read-one tool for every resource kind. Secret values are masked — use reveal_secret to read them. Call this before any update or delete to capture current state.

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• wikidata_search_entities

  wikidata-mcp-server

  Search Wikidata for items or properties by text query. Returns QIDs or PIDs with labels, descriptions, and match metadata indicating whether the hit was on a label or alias. Use type="item" for real-world concepts (people, places, works) and type="property" to find predicate P-IDs. The API returns no total count — pagination is offset-based with no result ceiling indicator.

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• toronto_query

  Data Toronto

  Query any City of Toronto datastore resource (open.toronto.ca, CKAN) by its resource id (a UUID). Supports a free-text `q`, exact-match `filters` (field→value), `sort` ("field desc"), limit and offset. Use toronto_datasets to find a resource id, or toronto_recent for the common ones.

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• edmonton_query

  Data Edmonton

  Run a raw SoQL query against any Edmonton open-data resource (data.edmonton.ca) by its Socrata id (8-char like "ukww-xkmj"). Full SoQL: where/select/group/order/limit/offset. Use edmonton_datasets to find a resource id, or edmonton_recent for the common ones.

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