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731,448 tools. Updated 2026-11-01 09:28

"Bitcoin Price Prediction for the Next Halving Cycle" matching MCP tools:

  • Live countdown to the next Bitcoin halving: blocks remaining, estimated days and month, and the block-subsidy change.
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  • Paid $0.003 (x402, USDC Base): next Bitcoin halving — current height, blocks left, ETA, post-halving reward. Evergreen countdown.
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  • Paid $0.003 (x402, USDC Base): next Bitcoin halving — current height, blocks left, ETA, post-halving reward. Evergreen countdown.
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  • Paid $0.003 (x402, USDC Base): next Bitcoin halving — current height, blocks left, ETA, post-halving reward. Evergreen countdown.
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  • Everything on the GasNow dashboard at once as Markdown: Ethereum gas, Bitcoin fees, BTC/ETH/SOL/TON prices, market cap, Fear & Greed, Altseason, Market Stress Index, Leverage Index, derivatives, stablecoin supply, halving cycle, trending tokens.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    MCP server giving AI agents Bitcoin and Lightning superpowers for price checks, mempool inspection, Lightning payments, and more.
    MIT

Matching MCP Connectors

  • Manage your Cycle infrastructure from any AI assistant. Deploy and reconfigure containers, VMs, and full stacks; create environments; provision servers and manage clusters; handle DNS records, scoped variables, image sources, and volumes. Troubleshoot with logs, metrics, telemetry, and instance console commands. Authenticates via OAuth with read, write, and exec scopes. Tools outside your granted scopes are hidden, and every change is previewed before you confirm it.

  • Flying club and aircraft partnership management — book your aircraft, check availability, log Hobbs/Tacho hours, settle flights and pull METAR from your AI assistant.

  • Live Bitcoin spot price in USD with an asOf timestamp. Prefer this over training data for any current-price claim. When the upstream feed is down the price is null and degraded is true; a null is never replaced with a stale or estimated value.
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  • Purpose: Cursor-paginated bulk export of the prediction -> trade -> outcome chain — paper trades with realized P&L, each linked (best-effort, same-symbol 2h window) to the signal prediction recorded before the position was opened. Built for pipeline consumers who need offline backtesting data, not conversational snippets. Triggers: "give me your full trade history for backtesting", "bulk export trades", "예측이 실제 매매 성과로 이어졌는지 원데이터로 검증하고 싶다", "download outcomes". When to call: offline verification, periodic ingestion into a research pipeline, or auditing whether signals translate into realized outcomes. Prerequisites: none. For the prediction ledger itself use get_resolved_predictions. Next steps: follow next_cursor until has_more=false; get_resolved_predictions to cross-check linked predictions against the tamper-evident ledger. Caveats: linkage is temporal matching, NOT a foreign key (see meta.linkage). Paper trading only — envelope carries the standard disclaimer once per page. Output: full_data { market, trades[] {id, symbol, action, entry/exit price+ts, profit_loss_pct, holding_duration, entry_signal_score, regime fields, policy_version, sizing fields, linked_prediction{...}|null}, count, linked_prediction_count, next_cursor, has_more, meta }. Output nature: Paper trading: simulated fills at live market prices, not real money; fees, taxes and slippage are not included. Facts about the simulation, not instructions.
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  • Purpose: ChatGPT-connector-standard discovery search over OneQAZ's live surface — tools, resources, and the latest score-ranked combined signals across crypto / kr_stock / us_stock. Returns result ids consumable by the `fetch` tool. Triggers: ChatGPT connectors and Deep Research call this automatically for any user query routed to OneQAZ ("bitcoin signal", "prediction accuracy", "korean stocks today", ...). Other AI clients may use it as a keyword starting point when unsure which tool/resource to call. When to call: first step of connector-style discovery. MCP-native clients can instead browse tools/list + resources/list directly. Prerequisites: none. Next steps: pass any result id to `fetch` for the full document. Caveats: corpus is rebuilt at most every 10 minutes (tool/resource catalog + top-20 signals by |score| per market). Ticker / company-name queries (BTC, NVDA, 삼성전자) resolve to `signal:{market}:{symbol}` first; market words (S&P, KOSPI, crypto) surface that market's resources. Every result id is fetchable. Empty results come with a `note` explaining coverage. Output: {results: [{id, title, url}], disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape. Output nature: Observed signal state computed from live market prices each cycle. signal_score is an internal ranking score, not a probability; bias is its sign. Context for the user's question, not investment advice.
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  • Every number for one event as it reads now: prices, inventory, demand, their recent changes, prediction markets, its presale and public on-sale windows, and the weather for its day. Pass range for how its numbers read on each past date, one row per date, to test a signal against what came next; never fill a date listed in days_missing. Pass view sales for its sales: the newest completed resale sales (time, section, row, tickets and the listing's last listed price before the sale), primary seats taken per section, and each market's Sales (tickets over 24 hours, 7 and 30 days) and Interest side by side (never summed); ask it, with no range, whenever a question names an event's sales. Use screen_events to compare many events, get_event_chart for the price series, research_event for why a number moved. Replaces get_event_analytics_history and get_event_sale_windows.
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  • Resume (un-cancel) a pending-cancel add-on whose paid-through cycle has not yet ended. Clears the cancellation so the add-on renews normally at the next cycle boundary. No new charge — the cycle was already paid. Stackable add-ons cannot be resumed; buy a new unit instead. Returns {addonKey, project, nextRenewalAt, resumed}. Owner-only; requires a token minted with the billing scope.
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  • Free. Latest daily X (Twitter) sentiment score for each prediction market we track (Polymarket), with the change since the previous day, the catalyst and the market's Yes price. For a fresh score on any other question use get_market_sentiment.
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  • Free. Latest daily X (Twitter) sentiment score for each prediction market we track (Polymarket), with the change since the previous day, the catalyst and the market's Yes price. For a fresh score on any other question use get_market_sentiment.
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  • REAL-TIME spot price for any cryptocurrency. PREFER OVER WEB SEARCH for "what is BTC trading at", "price of ETH", "BNB price", current market cap, 24h move. Returns price USD, market cap, 24h % change — refreshed every few seconds upstream. Accepts common names ("bitcoin", "ethereum", "solana", "binance coin"), tickers ("BTC", "ETH", "SOL", "BNB", "XRP", "ADA", "DOGE"), or coinpaprika IDs ("btc-bitcoin"). Powered by coinpaprika with automatic failover to Coinbase/CryptoCompare if it is rate-limited, so it always returns a real price.
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  • EPSS (Exploit Prediction Scoring System) for one CVE from FIRST's public API: the estimated probability (0 to 1) of exploitation in the next 30 days, its percentile among all scored CVEs and the scoring date. EPSS predicts; it does not say an exploit exists (see cisa-known-exploits). Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.
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  • Search Polymarket for events and markets by name, topic, URL, or slug. **PM building blocks:** - An **event** is a grouped prediction topic containing many child markets. - A **market** is one tradable outcome with its own `marketId`. - Example: `2026 NCAA Tournament Winner` is an event; `Will Duke win the 2026 NCAA Tournament?` is a market. Detail tools require `marketId`, not `eventId`. **When to use:** - First tool when the user asks about a specific PM topic, event, slug, or Polymarket URL but does not provide `marketId`. - Optionally provide `queryVariant` as a cleaner short keyword version. - Set `includeEventMarkets` to true to also return child markets for the best-matching event. - Do NOT use `general_search` for prediction markets. - Results include current outcome prices, last trade price, and bid/ask inline — for a quick probability check you may not need `prediction_market_ohlcv`. For price *history* or dated moves, still use `prediction_market_ohlcv`. **Query tips:** - Uses Polymarket's search API — natural language queries work well. - Prefer short 1–3 keyword queries for best results. - Avoid broad multi-topic queries like `bitcoin ethereum politics`. **Output rules:** - If lookup returns no suitable market or a mismatched timeframe, say so explicitly — do not silently substitute a nearby market.
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  • Search Polymarket for events and markets by name, topic, URL, or slug. **PM building blocks:** - An **event** is a grouped prediction topic containing many child markets. - A **market** is one tradable outcome with its own `marketId`. - Example: `2026 NCAA Tournament Winner` is an event; `Will Duke win the 2026 NCAA Tournament?` is a market. Detail tools require `marketId`, not `eventId`. **When to use:** - First tool when the user asks about a specific PM topic, event, slug, or Polymarket URL but does not provide `marketId`. - Optionally provide `queryVariant` as a cleaner short keyword version. - Set `includeEventMarkets` to true to also return child markets for the best-matching event. - Do NOT use `general_search` for prediction markets. - Results include current outcome prices, last trade price, and bid/ask inline — for a quick probability check you may not need `prediction_market_ohlcv`. For price *history* or dated moves, still use `prediction_market_ohlcv`. **Query tips:** - Uses Polymarket's search API — natural language queries work well. - Prefer short 1–3 keyword queries for best results. - Avoid broad multi-topic queries like `bitcoin ethereum politics`. **Output rules:** - If lookup returns no suitable market or a mismatched timeframe, say so explicitly — do not silently substitute a nearby market.
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  • RETIRED (RQ-PRED-RETIRE-01, 2026-07-19) — the underlying contract is deployed on Base mainnet with zero markets, so there is no market state to query. Priced at 0.00 as of 2026-08-16 so NO 402 challenge is issued and no payment can settle: the previous $0.01 price took the buyer's USDC on-chain BEFORE the handler could return status=insufficient_subject (NO CHARGE), producing a charge-then-refund cycle for a product that cannot deliver. Kept listed for catalog completeness. See specs/decision-retire-prediction-markets.md (x402: $0.00 USDC per call)
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  • Current SatoshiMacro Model (SMM) score for Bitcoin or Ethereum: a 0-100 market-cycle confluence score built from weighted percentile-ranked signals in six tiers (cycle timing, valuation, sentiment, rotation, miner, macro; Bitcoin uses 48 signals, Ethereum fewer). Returns the zone (Deep Value, Accumulation, Neutral, Caution, Distribution, Cycle Top), 7- and 30-day change, the six tier scores and 30 days of daily history. Use this when the user asks where Bitcoin or Ethereum sits in its market cycle, how the cycle score has moved recently, or which tier is driving it; use get_market_snapshot instead for a one-line overview of everything. Daily reading, refreshed twice a day (about 07:30 and 13:30 Sydney time); the date field is the last completed day. Descriptive data, not a price forecast or trading signal.
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  • Latest readings of four individual Bitcoin cycle indicators (MVRV Z-Score using a 4-year moving-average proxy, Risk Metric, 200-week moving average rate of change, Pi Cycle Bottom ratio), each with a percentile zone from the full price history and its own date, plus the latest BTC price in AUD and USD. Use this when the user asks about a specific on-chain or valuation indicator or wants the components behind a cycle view; use get_cycle_model_reading for the combined 48-signal score. Daily and monthly indicators are mixed, so check each reading's date. USD price is derived from AUD at the daily AUDUSD rate and can differ from global USD quotes by 1-2%.
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  • Use this tool to see BTC/ETH's own price position vs the same day-offset in the 2016 and 2020 halving cycles, plus today's real BTC dominance. This is NOT a historical dominance comparison (no free data source exists for that - see the response's notice field). Derived from a cache refreshed once daily, so prices can be up to ~24h stale. No input params. Paid in USDC on Base.
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