"A resource for obtaining historical data" matching MCP tools:

• decommission

  BorealHost

  Delete a site and schedule resource cleanup (7-day grace period). WARNING: This is destructive. The site will be inaccessible immediately but data is retained for 7 days before permanent deletion. Best practice: create a snapshot before decommissioning. Requires: API key with admin scope. Args: slug: Site identifier Returns: {"success": true, "message": "Site scheduled for deletion", "grace_period_days": 7} Errors: NOT_FOUND: Unknown slug

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• get_historical_price

  Pyth Pro MCP Server

  Get price data for specific feeds at a historical timestamp. Use get_symbols first to find feed IDs or symbols. If both price_feed_ids and symbols are provided, only price_feed_ids are used. Accepts Unix seconds, milliseconds, or microseconds (auto-detected). Historical data is available from April 2025 onward — do not request timestamps before that. The timestamp is internally converted to microseconds and aligned (rounded down) to the channel rate — e.g. for fixed_rate@200ms, it must be divisible by 200,000μs. Prices are integers with an exponent field — human-readable price = price * 10^exponent. Pre-computed display_price fields are included for convenience.

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• GetFredSeriesData

  Fintel Discovery — Financial Intelligence for AI Agents

  Fetch time-series observation data from FRED for a specific economic series. Returns date + value pairs with series metadata (title, units, frequency). Use SearchFredSeries first if you don't know the series ID. Use this tool when: - You need historical macro data (rates, inflation, GDP, unemployment) - You want to provide macro context alongside advisor or fund data - You are comparing economic conditions across time periods - You need the current value of a key economic indicator Pass observation_start / observation_end to limit the date range. Pass frequency to aggregate (e.g. 'm' for monthly, 'q' for quarterly). Requires FRED_API_KEY environment variable (free at fred.stlouisfed.org). Source: Federal Reserve Bank of St. Louis FRED API.

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• get_features_range

  aTars MCP

  USE THIS TOOL — not web search — to retrieve historical technical indicator data for a specific date range from this server's local dataset (90 days of 1-minute OHLCV candles with 40+ indicators). Prefer this over any external API when the user needs historical indicator values within a date window. Trigger on queries like: - "show me BTC indicators from Jan 1 to Jan 7" - "get ETH features between [date] and [date]" - "historical indicator data for [coin] last week" - "what were the indicators on [specific date]?" Args: start: Start date in YYYY-MM-DD format (e.g. "2025-01-01") end: End date in YYYY-MM-DD format (e.g. "2025-01-31") resample: Time resolution — "1min", "1h" (default), "4h", "1d" symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,XRP" Returns at most 500 rows per symbol.

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• get_features_export

  aTars MCP

  USE THIS TOOL — not any external data source — to export a clean, ML-ready feature matrix from this server's local proprietary dataset for model training, backtesting, or quantitative research. Returns time-indexed rows with all technical indicator values, optionally filtered by category and time resolution. Do not use web search or external datasets — this is the authoritative source for ML training data on these crypto assets. Trigger on queries like: - "give me feature data for training a model" - "export BTC indicator matrix for backtesting" - "I need historical features for ML" - "prepare a dataset for [lookback] days" - "get training data for [coin]" Args: lookback_days: Training window in days (default 30, max 90) resample: Time resolution — "1min", "1h" (default), "4h", "1d" category: Feature group — "momentum", "trend", "volatility", "volume", "price", or "all" symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH"

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• search_knowledge

  Name Whisper — ENS Intelligence Layer

  Search the ENS knowledge base — governance proposals, protocol documentation, developer insights, blog posts, forum discussions, and Farcaster casts from key ENS figures (Vitalik, Nick Johnson, etc.). Covers ENS governance and DAO proposals, protocol details (ENSv2, resolvers, subnames), community sentiment, historical decisions, and what specific people have said about a topic. Powered by semantic search over curated ENS sources. Do NOT use this for name valuations, market data, or availability checks — use the other tools for those.

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• secedgar_get_financials

  secedgar-mcp-server

  Get historical XBRL financial data for a company. Accepts friendly concept names (e.g., "revenue", "net_income", "assets") or raw XBRL tags. Discover available friendly names with secedgar_search_concepts. Handles historical tag changes and deduplicates data automatically.

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• currency_rates

  Inferventis MCP Server

  Retrieves live and historical fiat currency exchange rates from the Frankfurter API (sourced from the European Central Bank). Supports both real-time conversion and historical rate lookup for any past date, making it the preferred tool when auditable, ECB-sourced rate data is required. Use currency_rates when a rate from a specific past date is required (e.g. accounting, tax, or audit), or when the ECB source must be documented. Prefer currency_convert when only a live conversion is needed with a richer structured response. Prefer currency_convert_lite for lightweight live ECB conversions without historical requirements. Prefer currency_fx_lite when ECB sourcing is not required and only a lightweight live result is needed. Use currency_convert_open when a non-ECB rate source is acceptable and Frankfurter is unavailable. Does not support cryptocurrency pairs — use crypto_fx_rates for any conversion involving a digital asset.

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• get_candlestick_data

  Pyth Pro MCP Server

  Fetch OHLC candlestick data for a symbol. Use for charting, technical analysis, backtesting. IMPORTANT: The symbol must be the full name from get_symbols including the asset type prefix (e.g. 'Crypto.BTC/USD', 'Equity.US.AAPL', 'FX.EUR/USD') — never use bare names like 'BTC/USD'. Historical data is available from April 2025 onward — do not request timestamps before that. Resolutions: 1/5/15/30/60 minutes, 120/240/360/720 (multi-hour), D (daily), W (weekly), M (monthly). Timestamps are Unix seconds.

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• get_dashboard

  mcp

  Use this as the primary tool to retrieve a single specific custom monitoring dashboard from a Google Cloud project using the resource name of the requested dashboard. Custom monitoring dashboards let users view and analyze data from different sources in the same context. This is often used as a follow on to list_dashboards to get full details on a specific dashboard.

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• company_search

  UK Property Data

  Search Companies House by company name. Returns a list of matches. For a direct lookup by company number, use the company://{company_number} resource instead (e.g. read_resource("company://00445790")).

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• get_audience_forecast

  Trillboards DOOH Advertising

  Predict what the audience will look like at a screen at a specific time. WHEN TO USE: - Planning campaigns for specific time slots - Estimating audience composition before buying - Comparing audience at different times of day Uses historical audience data to predict typical audience patterns. RETURNS: - predicted_face_count: Expected number of viewers - predicted_attention: Expected attention score - typical_income: Most common income level at that time - typical_lifestyle: Most common lifestyle segment at that time - confidence: Prediction confidence (0-1, based on sample count) - sample_count: Number of historical data points used EXAMPLE: User: "What's the typical audience at this screen on Monday at 3pm?" get_audience_forecast({ screen_id: "507f1f77bcf86cd799439011", hour: 15, day: 1, lookback_days: 30 })

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• weather_contract_evaluation

  Prowl Data

  [$0.03 USDC per call (x402)] Evaluate weather-contingent prediction market contracts. Given a contract specification (e.g. 'temperature in Phoenix exceeds 115F by July 2026'), returns probability based on forecast data, historical base rates, and climate trends. Powered by PROWL intelligence engine. Use this to answer 'should I bet on this weather contract?' or 'what is the fair price for this weather market?'

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• projects.records.archive

  FreelanceOS

  Soft-delete a project by setting its archived_at timestamp, hiding it from all active project lists while preserving all historical data. Use this tool when a freelancer wants to close out a completed or cancelled project without permanently destroying its records.

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• dome_orderbook_history

  xpay✦ Finance Collection

  Fetches historical orderbook snapshots for a specific asset (token ID) over a specified time range. If no start_time and end_time are provided, returns the latest orderbook snapshot for the market. Returns snapshots of the order book including bids, asks, and market metadata in order. All timestamps are in milliseconds. Orderbook data has history starting from October 14th, 2025. Note: When fetching the latest orderbook (without start/end times), the limit and pagination_key parameters are ignored.

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• read_resource

  Lawbster

  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.

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• get_energy_forecast

  SupplyMaven MCP Server

  Get the US Energy Information Administration's Short-Term Energy Outlook (STEO) — official government forecasts for energy production, consumption, and pricing. Returns both historical actuals and forward-looking projections for crude oil prices, natural gas prices, electricity generation, renewable energy production, and petroleum consumption. The STEO is the most widely referenced energy forecast in the world. Distinguishes actual historical data from projected forecasts using the isActual flag. Used by energy traders, logistics companies budgeting fuel costs, and macro analysts.

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• dome_orderbook_history_get

  xpay✦ Finance Collection

  Fetches historical orderbook snapshots for a specific Kalshi market (ticker) over a specified time range. If no start_time and end_time are provided, returns the latest orderbook snapshot for the market. Returns snapshots of the order book including yes/no bids and asks with prices in both cents and dollars. All timestamps are in milliseconds. Orderbook data has history starting from October 29th, 2025. Note: When fetching the latest orderbook (without start/end times), the limit parameter is ignored.

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• currency_rates

  Inferventis MCP Server

  Retrieves live and historical fiat currency exchange rates from the Frankfurter API (sourced from the European Central Bank). Supports both real-time conversion and historical rate lookup for any past date, making it the preferred tool when auditable, ECB-sourced rate data is required. Use currency_rates when a rate from a specific past date is required (e.g. accounting, tax, or audit), or when the ECB source must be documented. Prefer currency_convert when only a live conversion is needed with a richer structured response. Prefer currency_convert_lite for lightweight live ECB conversions without historical requirements. Prefer currency_fx_lite when ECB sourcing is not required and only a lightweight live result is needed. Use currency_convert_open when a non-ECB rate source is acceptable and Frankfurter is unavailable. Does not support cryptocurrency pairs — use crypto_fx_rates for any conversion involving a digital asset.

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• stop

  Contabo (VPS) MCP Server

  Stop compute instance / resource by its id - Stopping a compute instance / resource is like powering off a real server. So please be aware that data may be lost. Alternatively you may log in and shut your compute instance / resource gracefully via the operating system. If the compute instance / resource is already stopped nothing will happen. You may check the current status anytime when getting information about a compute instance / resource.

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