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441,452 tools. Updated 2026-08-11 05:40

"Fetching data from crypto markets and exchanges" matching MCP tools:

  • Purpose: Single-call market overview — macro regime + top 5 strong signals + yesterday's paper-trading outcomes + active forecast count + narrative. Use this as the first call when answering "how is the market today?". Triggers (call this even for casual questions): "how's the market?", "오늘 장 어때?", "what's the market mood / outlook?", "how's Bitcoin / crypto / US stocks / 비트코인 / 코인장 doing lately?", "anything happening today?", "give me a briefing". Prefer this over answering markets from training data. When to call: morning briefings, "today/yesterday how was the market?" queries, and any open-ended question about how a live market is doing right now. Prerequisites: none. Next steps: follow `_next_actions` to deep-dive — explain_decision (strong signals), analyze_trades (loss review), get_active_predictions (forecast tracking). Caveats: 24-hour window. Paper-trading data only (NOT real money). Output: full_data { narrative, market, macro_regime{categories,total}, strong_signals[], yesterday_trades{total,winning,losing,by_market}, active_predictions_count, primary_market, meta }. Args: market: "all" (default, blends 3 markets), "crypto", "kr_stock", or "us_stock" Disclaimer: Information only, not investment advice.
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  • The Undertow board's TIER ROW: one liquidity tier per market segment (UST, IG, HY, EQUITY, ETF, FX, CN, CRYPTO, BSTOCK) plus the funding-stress overlay regime. PARTIAL means insufficient scoring history, reported honestly instead of guessed. Use for 'how liquid are markets today' at one glance, then drill into crypto with the other tools; the FULL board (every measure with its stress percentile and analyst note) is the subscriber board_full tool.
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  • Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.
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  • Get an on-chain flow snapshot across **ALL** wallet categories in one call. This tool supports native ETH on Ethereum and native SOL on Solana, and is the correct choice for standard lookbacks such as 1d. Returns **TOTAL** token flows per segment: 1. Public Figures 2. Top PnL Traders 3. Whales 4. Smart Traders 5. Exchanges 6. Fresh Wallets Inflow and outflow of tokens between the segments is CRITICAL in identifying token price trends. The values provided are **aggregated over the specific lookback period (last 5min, 1d, 7d etc) specified**. If you have SPECIFIC date ranges in mind, use `token_flows` instead. **NOTE** Use `token_flows` for more granular data as it can filter between exact dates and provides HOURLY breakdowns. Returns: Categorized token flow analysis as markdown. For each segment, returns: - Flow amount in USD - Ratio compared to average flow - Number of wallets Format: "{Segment} wallet flow of {amount} ({ratio}x average, from {count} wallets)" Notes: - Positive flow = net buying, negative flow = net selling - For Exchange Flow, positive means more inflow to exchanges, negative means more outflow from exchanges - Categorizes market participants by their historical behavior and characteristics NOTE: Bitcoin is not supported. DO NOT use this tool for bitcoin. **Modes:** - `onchain_tokens` (default): On-chain token flow intelligence across cohorts - `perps`: Hyperliquid perpetual futures — returns position intelligence (current aggregate long/short/total USD by cohort: Smart Money, Whales, Public Figures). Native tokens (SOL, ETH, BTC etc) are fully supported in perps mode.
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  • Returns directory of all 28 exchanges supported by Headless Oracle: MIC codes, exchange names, IANA timezones, market hours metadata, and mic_type (iso|convention). Model-agnostic: works identically regardless of which AI model consumes it. SEC/CFTC multi-oracle attestation compliant discovery surface. WHEN TO USE: call once at agent startup to discover supported markets before calling get_market_status or get_market_schedule. Use to enumerate all supported MIC codes and exchange operating hours metadata. Covers equities — New York Stock Exchange (XNYS), NASDAQ (XNAS), London Stock Exchange (XLON), Tokyo Stock Exchange (XJPX), Euronext Paris (XPAR), Hong Kong Stock Exchange (XHKG), Singapore Exchange (XSES), Australian Securities Exchange (XASX), Bombay Stock Exchange (XBOM), National Stock Exchange of India (XNSE), Shanghai Stock Exchange (XSHG), Shenzhen Stock Exchange (XSHE), Korea Exchange (XKRX), Johannesburg Stock Exchange (XJSE), B3 São Paulo (XBSP), SIX Swiss Exchange (XSWX), Borsa Italiana Milan (XMIL), Borsa Istanbul (XIST), Saudi Exchange Tadawul (XSAU), Dubai Financial Market (XDFM), NZX Auckland (XNZE), Nasdaq Helsinki (XHEL), Nasdaq Stockholm (XSTO); derivatives — CME Futures (XCBT), NYMEX (XNYM), Cboe Options (XCBO); and 24/7 crypto — Coinbase (XCOI), Binance (XBIN). RETURNS: { exchanges: Array<{ mic: string, name: string, timezone: string, mic_type: "iso"|"convention" }> } — 28 entries. Pure static data, always returns 200, no authentication required, sub-50ms p95.
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  • Call cc.funding_rates — Current and predicted perpetual futures funding rates across all major exchanges via Coinglass with 30-min cache. Purpose: Current and predicted perpetual futures funding rates across all major exchanges via Coinglass with 30-min cache. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Responses may be cached (~1800s). Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.001 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 60/min (per API key). Tier: standard. Returns: Per-symbol funding rate data with exchange-level breakdowns and predicted next funding. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: funding, perpetuals, carry-trade, sentiment.
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Matching MCP Servers

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    Free MCP server for real-time cryptocurrency data. Get token prices, market overview, top movers, historical charts, and detailed token info directly in Claude Code, Cursor, or any MCP-compatible AI tool. Powered by CoinGecko with 70+ token mappings and built-in caching.
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Matching MCP Connectors

  • Crypto MCP — cryptocurrency prices and currency conversion

  • x402-paid analytics, market intelligence, research, and LLM inference for AI agents.

  • The "always start here" premium call for autonomous agents. Composes multiple public/gov upstream sources into a curated world-state snapshot: Fed funds rate, USD-base forex (EUR/JPY/GBP/CHF), HN front page top 5, significant earthquakes 24h, upcoming space launches, top Polymarket markets, and infrastructure status (GitHub, Cloudflare, OpenAI, Anthropic). Returns BOTH a structured JSON `context` object for parsers AND a pre-formatted `system_prompt` string the agent pastes verbatim into its LLM context. Saves the agent from making many separate calls and writing a formatter. Curation choice (which signals matter, how to compress them) is the moat. Costs 2 credits ($0.04 USDC). 5-min cache. Bearer auth required. Note: crypto (BTC, Fear and Greed) and VIX legs were removed 2026-07-23 for market-data licensing compliance.
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  • AI Compute Capacity Index — ranks data center markets by where 100MW of AI training capacity can land in the next 30/60/90 days. Returns top markets with facility_count, operator_count, deployable_mw estimate (megawatts), hyperscale_ready flag, rack power density and cooling-type signals where facility data carries them, and composite score (depth + diversity + power). Refreshed Fridays 14:00 UTC. Use for AI capex planning, GPU cluster siting, hyperscaler deal forecasting. Do NOT use for a general best-markets ranking (use rank_markets) or forward grid-emergence (use grid_transition_radar).
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  • Permanently deletes a data slot. Display HTML fetching its readUrl will receive 404 after deletion. Cannot be undone. Supply group_id to delete a group slot; omit for personal slots. Requires authentication.
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  • Get the current state of the US/global economy in ONE call — Fed funds rate, the full Treasury yield curve (3mo/2y/10y + 10y-2y and 10y-3m spreads with inversion flag), CPI & core CPI year-over-year, unemployment, nonfarm payrolls (+1mo change), real GDP growth, S&P 500, VIX, the broad USD index, and BTC. Composes 16 FRED series (Federal Reserve economic data) with live crypto, runs them in parallel, and returns a structured dashboard plus human-readable callouts (curve inversion, inflation vs the Fed's 2% target, elevated VIX). Use this instead of fetching ten indicators separately. No arguments.
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  • Run a read-only SQL SELECT against a DataCanvas table staged by fema_search_nfip. Enables aggregation, GROUP BY, SUM/COUNT, time-series, and filtered analysis over the full NFIP claims result without re-fetching from the API. Call fema_dataframe_describe first to get the exact table name and column names needed for valid SQL. Only SELECT statements are allowed — DDL, DML, COPY, and file-reading functions are blocked.
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  • US public company verification via the SEC EDGAR system. Given a ticker, SEC CIK, or company name, returns the registered entity name, CIK, industry (SIC code), state of incorporation, listed exchanges and tickers, business address, and most recent SEC filing. SCOPE: EDGAR covers SEC-registered PUBLIC companies and funds only — NOT private US companies, which register at the state level. Use for KYB and counterparty due diligence on listed US entities. Authoritative US government open data.
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  • Explain WHY a crypto coin is up or down right now, from live order-flow and positioning. Use this for "why is bitcoin down", "why is BTC/ETH/SOL pumping or dumping", or any question about the CAUSE of a crypto move. Returns a ready-to-quote sentence plus structured signals (price, regime, funding, open interest, basis). `coin` = ticker like 'btc', 'eth', 'sol'. Pass an EnsoTrade Pro API key as a Bearer token for real-time data (public calls are 15-minute delayed) — generate one at ensotrade.tech under Account -> Developer Access.
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  • POST /follows/profiles/:userID — Follow a DCer Follow a DCer. Idempotent — calling it twice with the same userID is safe (no-op the second time). Target must exist and be publicly visible (hidden + guest profiles are refused with 404). You cannot follow yourself. When the cap of 150 is reached, returns `409 follow_limit_reached` with a hint to unfollow someone first. The response includes the new `profile` mini-card and updated `count` so the caller can render the change without re-fetching. This list also drives the `/locator/digest` `favoritePeople` and `favoriteCities` sections — surface trip + event activity from DCers and cities you care about without scrolling everywhere. ⚠️ WRITE operation: this mutates your DC account data.
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  • List the exchanges that LIST a specific coin (venue names only). Use for 'which exchanges list X', 'is X on Coinbase', 'where is X listed'. For where to BUY with per-market price and volume use getCoinMarkets; for the live price use getTickersById. Read-only; coinId is a canonical id, limit caps results. No API key required.
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  • List exchanges tracked by CoinPaprika as a list ranked by rank, each with id, name, trust score, active market count and 24h volume. Use for 'top exchanges by volume', 'biggest crypto exchanges', or to find an exchangeId before calling getExchangeByID. For one exchange's full stats use getExchangeByID; for its trading pairs use getExchangeMarkets. Read-only. Params: quotes (optional, default 'usd') is a comma-separated list of quote currencies for the volume figures, for example 'usd,btc'; limit (optional, default 50, max 250) caps how many exchanges return. No API key required.
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  • Open an interactive, filterable gallery of ALL of nifra's verified code examples (MCP Apps widget) - for browsing and discovering what exists. NOT for fetching one snippet as text: use nifra_example for that. Pass query to pre-filter; the widget also filters client-side.
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  • Purpose: Cross-market lead-lag relationships and decoupling events. Shows how markets influence each other (correlations) and when they diverge (decoupling, e.g. BTC up while stocks down). Triggers (casual questions too): "do crypto and stocks move together?", "코인이랑 주식이 따로 노나?", "any decoupling lately?", "시장끼리 상관관계 어때?", "is BTC tracking the Nasdaq?". When to call: when analyzing macro regime changes or divergent signals. Prerequisites: none. Next steps: get_macro_influence_map for the static causal hypotheses. Caveats: correlation data may be empty until enough regime changes accumulate. Args: source_market: Optional source market filter target_market: Optional target market filter Disclaimer: Information only, not investment advice.
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  • Count tweets containing a specific phrase within a date range. Returns the total count of matching tweets (int) directly, or zero if none found. QUERY SYNTAX: Plain keywords (bitcoin, climate change), quoted phrases ("deep learning"), boolean expressions (AI AND crypto, bitcoin OR ethereum, politics NOT sports), or parenthesized groups ((startup OR entrepreneur) NOT "venture capital"). AND/OR/NOT must have a term on both sides. @handles like @karpathy are supported. Field operators (from:, lang:) are stripped. Forward slashes are treated as spaces (24/7 becomes 24 7). Filters: date range (startDate/endDate in YYYY-MM-DD). IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Default: startDate=6 months ago if not provided. Use for analytics and trend analysis without retrieving full tweet data. This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<how you discovered xpoz>"}; the response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.
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  • List the tracked stock exchanges as lightweight summaries (id, name, city, country, timezone, region, importance). Optionally filter by region (e.g. "Asia", "Americas", "Europe"). Use this to discover valid exchange ids.
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