"A platform for crypto-related trading and news" matching MCP tools:

• get_positions

  OneQAZ Trading Intelligence

  Purpose: List current paper-trading positions, with dynamic filters (ROI / strategy / sort). Triggers (casual questions too): "what are you holding?", "current positions?", "뭐 들고 있어?", "what's the exposure / portfolio?", "any winners / losers right now?", "how's the book doing?". Paper-trading positions (NOT real money). When to call: position dashboards, drawdown checks, exposure audits, and any "what's held / how's the portfolio?" question. Prerequisites: market://{market_id}/status recommended for context. Next steps: get_position_detail, get_strategy_distribution. Caveats: paper-trading data only. Positions are not real money holdings. Disclaimer: Information only, not investment advice. Args: market_id: Market ID (crypto, kr_stock, us_stock) min_roi: Min ROI % filter (e.g., -5.0) max_roi: Max ROI % filter (e.g., 10.0) strategy: Strategy filter (e.g., trend, scalping) sort_by: Sort field (profit_loss_pct, entry_timestamp, holding_duration, ai_score) sort_order: Sort direction (desc, asc) limit: Max results (default 1000)

  Connector

• get_daily_brief

  OneQAZ Trading Intelligence

  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.

  Connector

• get_creator

  Influship Influencer Marketing MCP

  Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.

  Connector

• latest_news

  Newsdata

  Get the latest global news headlines and articles — world news, breaking news, and business/financial/stock-market news. Filter by keyword, country (2-letter, e.g. "us"), category (business, technology, politics, sports, health, science), and language. IMPORTANT: for stock-market / financial-market / economy / "world market news" questions, ALWAYS pass category: "business" — it returns real market-news outlets and filters out low-quality SEO/crypto-promo articles. Returns article title, description, link, source, publish date, category, and country. Paginate via the nextPage token. Examples: latest_news({ query: "stock market", category: "business" }) for world market news; latest_news({ query: "election", country: "us", category: "politics" }).

  Connector

• get_signals

  TraderSpy

  Use this when the user asks for recent public AI crypto trading signals, optionally filtered by coin, importance, or pagination. When the user names a count ("last 5 signals"), pass it as `limit` — the card view renders exactly what was fetched, so over-fetching shows more cards than the user asked for.

  Connector

• get_llm_trading_decisions

  OneQAZ Trading Intelligence

  Purpose: Track-A (LLM-driven) paper-trading judgement log (Track A = the LLM judgement path, applied to trading only as a capped bias on top of engine signals; Track B = the signal-engine path, see get_latest_decisions). Triggers (casual questions too): "what does the AI think?", "AI는 뭘 사라고 해?", "show the LLM's trade calls", "AI 판단 근거 보여줘", "does the AI agree with the signals?". When to call: inspect LLM-generated reasoning and trade calls. Prerequisites: none. Next steps: get_latest_decisions to compare with Track B. Caveats: paper-trading only. Args: market_id: Market ID (crypto, kr_stock, us_stock, commodity, forex, bond) symbol: Specific symbol (optional; omit for entire market) Disclaimer: Information only, not investment advice.

  Connector

• get_creator

  Influship

  Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.

  Connector

• getExchanges

  CoinPaprika

  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.

  Connector

• tengu_crypto_overnight

  tengu-firm

  Overnight crypto DATA book for Brain/Platform: a SLICE of GET /api/crypto/universe (the full liquid USD book, stables out, $1M floor) ordered by |24h change|. This is NOT the sitting universe — do not treat the default 25 movers as FIRM's book. Bare symbols (BTC not BTC-USD), volume, as_of, optional sentiment/whale flags. EVERY row is kind=data_context — NOT a Tengu score or prediction. FIRM has no crypto model; crypto_available stays false. Fail-closed 503 when the snapshot book is stale. Fail-closed place path: 503 bodies are ok:false with placement.fail_closed=true and X-Error-Code — do not place on a stale book. FIRM never places. Do NOT call /score, /intel/ml_prediction, or /execution/* with asset_class=crypto (those 404 crypto_model_unavailable on purpose — do not size from equity ADV). Collision tickers here are the coins, never the equity twins. Auth: X-API-Key.

  Connector

• dcl_commit

  DCL Trust Oracle — AI/LLM Output Audit (x402 MCP)

  FINAL-STEP Leibniz Layer Crypto Commit ($0.01). Writes a trading/agent decision to the append-only Leibniz Layer audit chain and returns a Merkle-proof-style receipt: `tx_hash` (proof of this specific commit), `chain_hash` (the previous commit's hash, linking this one into the chain), and `chain_depth` (this commit's position in the chain). Unlike the evaluate_* tools, this call has no pass/fail verdict of its own — it always succeeds and simply seals the decision. Passing `prior_checks` is optional but recommended: it records which earlier pipeline steps (firewall/wallet/trade/MEV) this specific commit is downstream of, in one auditable record. Always run this LAST, after every other crypto-suite check has passed.

  Connector

• tf_btc_price

  terminalfeed

  Fetches the current Bitcoin price in USD with 24h change, high, low, and volume. Source: Binance with CoinCap fallback. Cache TTL 15s. No auth required. Use for crypto trading decisions or when the agent needs a fresh BTC quote.

  Connector

• tf_premium_correlation_matrix

  terminalfeed

  Pre-computed macro correlation matrix for AI trading and portfolio agents. Returns 30-day Pearson correlations on daily simple returns for 4 FRED series (US gov, public domain): 10Y treasury yield, 2Y treasury yield, trade-weighted USD index, and WTI crude oil. Output includes both a pairs array (sorted by absolute r descending) and an NxN matrix object for easy lookup. Each pair tagged with relationship strength (negligible / weak / moderate / strong) and direction (positive / negative). Costs 2 credits ($0.04 USDC). 30-min cache. Bearer auth required. Note: crypto and equity legs were removed 2026-07-23 for market-data licensing compliance.

  Connector

• fda_lookup_company

  FDA Data MCP

  Quick company lookup: facilities (with addresses and operations) and enforcement actions (recalls) for a single company and its known aliases. Costs 1 credit. Excludes: 510(k) clearances, PMA approvals, drug applications, inspection history, and subsidiary data. Related: fda_company_full (adds clearances/approvals/drugs for 5 credits), fda_suggest_subsidiaries (discover related entities), fda_get_facility (per-facility products and operations by FEI).

  Connector

• news_categories

  Cryptocompare

  List crypto news category tags available for filtering the news feed (BTC, ETH, Trading, Regulation, Mining, etc.). Use as a directory before calling news() with a category filter.

  Connector

• feed_archive

  whale-insights

  News feed archive — paginated 30-day history (public, MCP-compatible) — Returns a paginated archive of crypto news articles, analysis, and AI-generated summaries from the CryptoWhaleInsights feed, covering the last 30 days. Whale movement events are excluded — use /api/public/whale-movements for on-chain flow data. AI agents can use this to read the latest crypto news, market analysis, and AI-generated summaries without any credentials. Optional type filter: news (RSS articles), ai (AI-generated summaries), manual (analyst notes). Default: all non-whale-move items. Optional keyword search: q (max 100 chars) filters by token name or keyword — case-insensitive match on title and summary (e.g. q=ETH returns only ETH-related items). Pagination: page (1-indexed, default 1), pageSize fixed at 20. period filter: 7d | 30d (default 30d — maximum public window). Response: { items[], total, page, pageSize, hasMore, updatedAt }. Each item: id (number), title (string), summary (string), source (string — feed source name e

  Connector

• get_trending

  canton-ccpedia

  Get this week's most popular/trending Canton Network content (CIPs, forum threads, docs, blog, etc.) ranked by an engagement score. Canton-specific. Not general crypto/social/news trends. Use for 'what's hot/popular on Canton right now'; use get_recent_changes instead for a chronological 'what changed recently' feed.

  Connector

• get_signals

  TraderSpy

  Use this when the user asks for recent public AI crypto trading signals, optionally filtered by coin, importance, or pagination. When the user names a count ("last 5 signals"), pass it as `limit` — the card view renders exactly what was fetched, so over-fetching shows more cards than the user asked for.

  Connector

• distribution_set

  sella

  Declare where this business will be found. A finished product, a live listing and a published page produce zero buyers between them: none of the three is a channel. Send the whole list each time, one entry per platform. Anything is a valid platform: moltbook, x, reddit, linkedin, hacker news, a Discord server, the docs of an adjacent project. Mark a channel blocked when it turns out to be unusable and say why. A channel recorded as impossible is useful; one silently dropped looks like one you never tried. Sella does not post for you and will not ask for credentials. Keep tokens in your operator environment, read them by variable name, and never write one into a log, a note or a reply.

  Connector

• cc.market_news

  Central Command — x402 Trading Intelligence

  Call cc.market_news — Aggregated crypto and macro market news from multiple sources with relevance scoring and categorization. Purpose: Aggregated crypto and macro market news from multiple sources with relevance scoring and categorization. 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: $0.002 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: 30/min (per API key). Tier: standard. Returns: Categorized news articles: title, source, URL, relevance score, AI summary per category. 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: news, sentiment, narrative, catalyst, headlines.

  Connector

• get_market_movers

  kr-crypto-intelligence

  Get Korean market movers: 1-minute price surges/crashes (>1%), volume spikes, and top 20 tokens by trading volume on Upbit. Detects rapid price movements and unusual volume activity in Korean crypto markets. Korean retail activity often leads global price movements — early signal for traders. 💰 Price: $0.01 USDC per call 💳 Payment: x402 micropayment on Base, Polygon, or Solana 🔧 Client: AgentCash, Pay.sh, or any x402 SDK 📖 Docs: https://api.printmoneylab.com/.well-known/x402

  Connector