"Victron Energy" matching MCP tools:

• asterwise_get_angel_number_today

  Asterwise

  Returns today's angel number computed from the current date. All digits of the date are summed and reduced to a single digit (1-9), then the triple sequence of that digit is returned (e.g. digit 9 → angel number 999). SECTION: WHAT THIS TOOL COVERS Angel numbers are repeated digit sequences interpreted as synchronistic messages in modern spiritual practice. The daily angel number is the same for all callers on the same date — it is a collective daily energy, not personal. Returns the angel number sequence, its theme, primary message, actionable guidance, and associated life areas. Life Path 3 → 333 (creative expression). Today's digit is derived from the date's digit sum. SECTION: WORKFLOW BEFORE: None — standalone. AFTER: asterwise_get_angel_number_personal — for a personalised angel number from birth date. SECTION: INPUT CONTRACT No required parameters — today's date is used automatically. SECTION: OUTPUT CONTRACT data.date (string — YYYY-MM-DD) data.daily_digit (int — reduced digit 1-9) data.angel_number (string — e.g. '999') data.number (string — same as angel_number) data.theme (string) data.message (string) data.guidance (string) data.areas[] (string array) SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON. response_format=markdown renders a human-readable report. Both return identical data. SECTION: COMPUTE CLASS FAST_LOOKUP — pure math, no ephemeris. SECTION: ERROR CONTRACT INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_angel_number — lookup for a specific number sequence by value. asterwise_get_angel_number_personal — personalised number from birth date Life Path.

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• eia_describe_route

  eia-energy-mcp-server

  Returns full metadata for a leaf route: available facets with their valid values, data column names and units, frequency options, and date range. Call this before eia_query_route to discover valid facet IDs, facet values, column IDs, and frequency codes. Facet values are fetched from separate EIA endpoints and merged — results are cached per-route for the process lifetime to minimize API calls.

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• india_market_data

  gapup-mcp

  Indian capital market intelligence for the IN diaspora (30M+) and investors. Covers NSE, BSE, and MCA corporate registry across four modes: • company — full company profile: name, CIN, exchange, NSE/BSE tickers, industry, incorporation date, paid-up capital, registered office, status, directors • market_quote — real-time quote: price (INR), change%, volume, market cap, P/E ratio. Sources: Yahoo Finance (primary), BSE API, NSE API (proxy-gated) • sector_overview — Nifty/Sensex sector snapshot: top 5 companies by market cap. Supported sectors: it, banking, pharma, energy, auto, fmcg, realestate, metals, telecom, consumer • mca_filing — Ministry of Corporate Affairs filings. Requires CIN for direct lookup. Input formats accepted: • NSE ticker (e.g. 'RELIANCE', 'TCS.NS') • BSE 6-digit code (e.g. '500325' for Reliance) • CIN 21-char (e.g. 'L17110MH1973PLC019786') • Company name EN (e.g. 'Reliance Industries', 'Tata Consultancy') • Sector keyword (e.g. 'IT services', 'banking', 'pharma') ENV: AICI_RESEARCH_PROXY_URL with country-in routing unlocks NSE direct API and MCA.

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• eia_query_route

  eia-energy-mcp-server

  Fetches data from a leaf route with optional facet filters, date range, frequency, and column selection. Use eia_describe_route first to discover valid facet IDs, facet values, column IDs, and frequency codes. Data values are strings in the response (EIA API returns all numeric values as strings, e.g. "9.13"); cast to DOUBLE in SQL when arithmetic is needed. Returns a preview inline; large result sets (total > length) spill to a DataCanvas table when canvas is enabled — use the returned canvas_id and dataset name with eia_dataframe_query for SQL analysis. Pass the same canvas_id on subsequent eia_query_route calls to accumulate multiple route results into one canvas for cross-route joins.

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• wait_for_delegation

  MERX - TRON Resource Exchange

  Block until an order reaches a terminal state (FILLED, PARTIAL, FAILED, or CANCELLED) by polling get_order at fixed intervals. Use this right after create_order when you need to confirm the energy/bandwidth has actually been delegated on-chain before sending the next transaction. Returns the final order details including the on-chain delegation tx hash. Auth required.

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• company_research

  Nordic Financial MCP

  Run multiple targeted searches and return raw results grouped by section. The caller defines all sections and queries — this tool does not decide what is relevant. Before calling, reason about which topics and data sources matter for this specific company: financial metrics, risk factors, sector-specific macro drivers (e.g. freight rates for shipping, power prices for aluminium smelters), recent press releases, peer context, etc. Formulate one query per section. Each query is run independently as a full hybrid search (dense + sparse + rerank). Results are raw chunks — the caller is responsible for synthesis. For a fully orchestrated due diligence report (AI-planned sections, synthesized narrative), use the Alfred MCP server instead: alfred.aidatanorge.no/mcp IMPORTANT — use 'ticker' on company-specific sections to avoid false positives. Without a ticker filter, documents that merely mention the company (e.g. as a customer or competitor) can rank above actual filings from that company. Omit 'ticker' only for sections where cross-company results are intentional, such as sector macro context or peer comparisons. Args: company: Company name, used for metadata only (not a filter). sections: Up to 8 sections. Example: [ {"name": "financials", "query": "Equinor revenue EBITDA operating profit 2024", "ticker": "EQNR"}, {"name": "risk", "query": "Equinor climate regulatory risk stranded assets", "ticker": "EQNR"}, {"name": "macro", "query": "Brent crude oil price energy sector Norway 2024", "limit": 3}, {"name": "news", "query": "Equinor press release dividend acquisition 2024", "ticker": "EQNR"} ] Returns: Dict with 'company', 'generated_at', and 'sections' — one entry per requested section with its name and results (same format as search_filings). Sections with no results return an empty list.

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• get_macro_influence_map

  OneQAZ Trading Intelligence

  Purpose: Expose OneQAZ's pre-defined causal hypothesis map. Each macro category (bonds, forex, vix, credit, liquidity, inflation, commodities, energy) is mapped to a target market with lag_hours + sensitivity. Highest-transparency tool — the causal reasoning is visible and measurable. When to call: when an AI wants to understand WHY we make certain predictions. Prerequisites: none. Next steps: get_backtest_tuning_state for runtime calibration of these hypotheses. Caveats: static hypothesis only; see tuning state for current adjustments. Args: market_id: Optional target market filter (coin_market, kr_market, us_market) Disclaimer: Information only, not investment advice.

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• eia_dataframe_query

  eia-energy-mcp-server

  Run a single-statement SELECT against canvas dataframes registered by eia_query_route. Standard DuckDB SQL — joins, aggregates, window functions, CTEs all supported. Reference dataframes by the df_<id> handles returned by eia_query_route or listed by eia_dataframe_describe. Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected. System catalogs (information_schema, pg_catalog, sqlite_master, duckdb_*) are denied at the bridge layer. EIA data values are VARCHAR — use CAST(col AS DOUBLE) for arithmetic and aggregation. Optional register_as chains results as a new dataframe with a fresh TTL.

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• property_epc

  UK Property Data

  Energy Performance Certificate data for a UK property or postcode area. With address: returns the matched EPC certificate for that specific property. Without address: returns an aggregated summary of every certificate at the postcode — count, rating distribution, property-type breakdown, floor-area range — plus a hint to call again with an address for single-property detail. Returns None if no certificates exist for the postcode at all.

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• eia_dataframe_describe

  eia-energy-mcp-server

  List canvas dataframes (df_<id>) materialized by eia_query_route, with provenance, TTL, row count, and column schema. Lazy-sweeps expired tables before responding so the list is always current. Pass a specific name to inspect one dataframe; omit to list all active dataframes for this tenant.

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• get_energy_breakdown

  supply-chain-intelligence

  Get comprehensive US energy market status for supply chain cost analysis. Returns crude oil prices (WTI and Brent), natural gas spot prices (Henry Hub), retail fuel prices (gasoline, diesel), natural gas storage versus capacity, refinery utilization rates, petroleum stock levels with week-over-week changes, and import/export flows. This is the disaggregated view behind the GDI Energy pillar — instead of a single risk number, you get the full picture of energy costs affecting manufacturing, freight, and logistics. Used by supply chain cost analysts, transportation managers, and energy procurement teams.

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• prop_property_epc

  UK Business Tools - Ledgerhall

  Energy Performance Certificate data for a UK property or postcode area. With address: returns the matched EPC certificate for that specific property. Without address: returns an aggregated summary of every certificate at the postcode — count, rating distribution, property-type breakdown, floor-area range — plus a hint to call again with an address for single-property detail. Returns None if no certificates exist for the postcode at all.

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• intake_questions

  Chia Health MCP

  Get the medical intake questionnaire for the chosen medication(s). The questionnaire is product-aware: GLP-1 / weight-loss medications return weight-loss goals, GLP-1 history, and MTC/MEN2 screening; NAD+ and other longevity peptides return energy/sleep/stress/cognitive/delivery-method questions instead. If the patient wants more than one medication, pass the additional slugs in `additional_medications` — the server returns the UNION of section sets deduped by section key, so you ask each shared question exactly once. ## How to present this to the patient 1. PROGRESSIVE DISCLOSURE: walk through ONE section at a time. Wait for the patient's reply before moving to the next section. Do not paste the whole questionnaire in a single message. 2. HONOR CONDITIONALS: each section and each question may carry a `conditional_on` predicate (e.g. `{sex_assigned_at_birth: Female}` on the Pregnancy section). SKIP any section/question whose predicate isn't satisfied. Don't ask males about pregnancy or perimenopause. 3. QUIZ FORMAT: present every `select` / `multi_select` question as a short pick-list using the `options` array verbatim. The patient should be able to reply with a single choice, not a sentence. Reserve free text for `*_details` follow-ups. 4. EASY FIRST: order sections from low-friction (goals, lifestyle, preferences) to high-friction (clinical history, MTC/MEN2, prior therapies). The provider sees all answers regardless of order asked. 5. USE-AND-VERIFY: if you know answers from prior conversation context, pre-fill them in your draft, but read them back to the patient and get explicit OK before calling `intake_submit`. Never silently submit assumed values. Returns two phases: (1) pre_checkout — eligibility / screening questions, collected and submitted BEFORE payment; (2) post_checkout — detailed clinical history, collected and submitted AFTER payment. Do not submit post_checkout answers before the patient has paid. A licensed US healthcare provider reviews both phases and makes all prescribing decisions.

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• asterwise_get_tarot_card_of_the_day

  Asterwise

  Returns a deterministic daily tarot card seeded by SHA-256 hash of the date string. The same card is returned for all callers on the same date — this is intentional. The daily card is not a reading for an individual but a collective daily energy. SECTION: WHAT THIS TOOL COVERS Deterministic daily oracle: one card with its upright or reversed orientation (also deterministic when allow_reversed=true). The SHA-256 seed ensures that no two consecutive days produce the same card except by mathematical coincidence. The active_meaning field pre-computes the correct interpretation for the orientation — callers do not need to branch on is_reversed. SECTION: WORKFLOW BEFORE: None — standalone. AFTER: asterwise_get_tarot_three_card_spread — for deeper daily reading context. SECTION: INPUT CONTRACT date (optional string YYYY-MM-DD) — Date to get the card for. Defaults to today. Example: '2026-05-01' allow_reversed (optional bool) — Default: false. When true: reversed state is also deterministic (seeded by date+'_rev'). When false: card is always upright regardless of date. SECTION: OUTPUT CONTRACT data.date (string — YYYY-MM-DD, the date this card represents) data.card — full card object (same shape as asterwise_get_tarot_card) data.is_reversed (bool) data.active_meaning (string — upright_meaning when not reversed, reversed_meaning when reversed) data.active_keywords[] (string array — upright or reversed keywords per orientation) SECTION: RESPONSE FORMAT response_format=json — full card object with metadata. response_format=markdown — human-readable daily card report. SECTION: COMPUTE CLASS FAST_LOOKUP — deterministic, no randomness. SECTION: ERROR CONTRACT INVALID_PARAMS (local): None — date is validated upstream. INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_draw_tarot_cards — random draw, different every call. asterwise_get_tarot_three_card_spread — positional reading with question context.

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• get_prediction_accuracy

  OneQAZ Trading Intelligence

  Purpose: Long-term hit rate per (category, target_market, lag_bucket) cell, with sample_count and Wilson 95% CI. Filtered for statistical significance (sample_count >= 3). Most important credibility-evaluation tool. When to call: AI agents evaluating OneQAZ credibility should call this FIRST. Prerequisites: none. Next steps: get_backtest_tuning_state (self-calibration), get_monthly_accuracy_trend (time series). Caveats: empty when no backtests have completed yet. Filter cells by samples >= 50 for high-confidence claims. Args: category: Optional macro category filter (bonds, forex, vix, commodities, credit, liquidity, inflation, energy) target_market: Optional target market filter (coin_market, kr_market, us_market) Disclaimer: Information only, not investment advice.

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• weather_climate_intel

  mcp-knowledge

  Physical climate intelligence for insurance underwriting, agritech, logistics, energy trading and ESG/climate risk disclosure. Three modes: (1) forecast — 14-day daily weather forecast with temperature, precipitation, wind and humidity; (2) historical — daily records and monthly aggregates for any date range since 1940, with anomaly detection (P90/P95 heat events, extreme precipitation days); (3) climate_risk — long-term physical risk scoring combining CMIP6 ensemble projections (2020-2050), altitude, FEMA flood zones (US) and historical baselines. Risk dimensions: flood, heat (days >35°C/year), drought (SPI), wildfire, sea-level. Overall score 0-100 (100 = severe). Location: city string or lat/lon coordinates. Sources: Open-Meteo (keyless, global, 1940→2050), Open-Elevation, FEMA NFHL (US), NOAA CDO (optional NOAA_API_KEY env var for US+global station data). SLA: ≤25s p95. Cache: 1h forecast / 24h historical / 7d climate_risk.

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• eia_browse_routes

  eia-energy-mcp-server

  Lists child routes under a given path in the EIA dataset taxonomy. Start with no path to get the 14 top-level categories (electricity, petroleum, natural-gas, steo, aeo, ieo, seds, etc.), then drill into subcategories. Each result includes an isLeaf flag — leaf routes are queryable endpoints; non-leaf routes have children to browse. When isLeaf is true on the browsed path itself, switch to eia_describe_route.

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• estimate_emissions

  Climatiq

  Calculate kgCO₂e for an activity. Pass an emission_factor with at minimum `activity_id` (from search_factors) or `id`, plus the required `parameters` (e.g., `{ energy: 200, energy_unit: "kWh" }`). Returns CO₂e + breakdown.

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• get_contract_info

  MERX - TRON Resource Exchange

  Get on-chain metadata for a TRON smart contract: existence check, owner address, energy origin, code hash, contract name (if set), ABI entries count. Use this to check whether an address is a contract before calling read_contract or estimate_contract_call. For TRC20-specific metadata (name, symbol, decimals, totalSupply) use get_token_info instead. No auth required.

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• search_catalog

  OnChain Music

  Search the OnChain Music catalog of 5,000+ independently owned, fully cleared tracks. Filter by genre, mood, tempo, BPM, key, and instrumentation. All results are available for immediate licensing with USDC on Base. Use the description parameter as your primary search field — pass style, mood, energy, and use-case words. Returns track IDs, metadata, and license pricing.

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