"How to execute trading operations on KuCoin" matching MCP tools:

• get_llm_trading_decisions

  OneQAZ Trading Intelligence

  Purpose: Track-A (LLM-driven) paper-trading judgement log. 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.

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• how_munimji_helps

  HelloBooks AI Agents MCP Server

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

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• place_spot_order

  CoinRithm Agent Trading

  Place a paper spot order. coinId is a coin UCID, NOT a ticker. orderType market/limit/stop. limitPrice required for limit & stop; stopPrice required for stop. idempotencyKey is REQUIRED and unique per intent (reuse replays the original result — retry a timed-out call with the SAME key; it will never double-execute). Requires the trade:spot scope. CONFIRM with the user before calling. Paper trading only — virtual funds (50,000 mUSD). Not financial advice.

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• t54_x402_request

  Agentic Swarm Marketplace (T54 x402 MCP)

  Execute any T54 seller operation by operationId with an optional query map. Prefer per-operation t54_* tools when available for clearer arguments. On HTTP 402, x402_broker_client pays then retries.

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• alphai_actionable_now

  AlphaAI

  Breaking, decision-grade news from the last few hours. The primary filter is the enricher's actionability score, and the gate is strict: by default only actionability='high' (a concrete trading decision to act on TODAY — fresh guidance cut, halted trading, breaking M&A, surprise print) qualifies. Big-but-not-urgent stories scored 'medium' (shape a position over days/weeks) never appear at the default floor no matter how high their novelty — pass min_actionability='medium' to include them, or use alphai_trending / alphai_ticker_news for the broader tape. An empty list outside US market hours (nights, weekends) is expected — it means no high-actionability prints in the window, not an error; widen hours or min_actionability before concluding nothing happened. min_novelty is a secondary threshold that drops post-event recaps of already-public stories. Ordered novelty-first; syndicated reprints collapsed by story (dedupe=false to keep all).

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• call_operation

  Fiber AI

  Execute any Fiber API operation by operationId. IMPORTANT: - Most operations require `apiKey` in the request body. - Prefer search_endpoints() first when operation choice is ambiguous. - Use get_endpoint_details_full(operationId='...') first for complex/nested parameter shapes. Args: operationId: The operation ID to call params: Parameters dict: {"body": {...}, "path": {...}, "query": {...}} Returns: API response data or error details.

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• top_up_credits

  TestMyVibes

  Buy more credits to fund test runs that TestMyVibes' agents will execute on your behalf. Returns a Stripe Checkout URL the user must open to complete payment (Stripe requires human payment completion per their agentic-commerce policy). Once the user pays, the credits are added automatically by the Stripe webhook — poll get_credit_balance to confirm.

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• place_spot_order

  CoinRithm Agent Trading

  Place a paper spot order. coinId is a coin UCID, NOT a ticker. orderType market/limit/stop. limitPrice required for limit & stop; stopPrice required for stop. idempotencyKey is REQUIRED and unique per intent (reuse replays the original result — retry a timed-out call with the SAME key; it will never double-execute). Requires the trade:spot scope. CONFIRM with the user before calling. Paper trading only — virtual funds (50,000 mUSD). Not financial advice.

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• get_about

  Follow On Tours

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• get_positions

  CoinRithm Agent Trading

  List open + historical positions for a venue. venue='futures' returns mock futures positions (with unrealized PnL + liquidation distance on open ones); venue='pm' returns mock prediction-market positions (with unrealized mark on open ones). Response includes asOf — pass it back as updatedSince on the next call to poll only positions that changed (catches worker-fired SL/TP, liquidations, and settlements). Paper trading only — virtual funds (50,000 mUSD). Not financial advice.

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• calc_statistics

  Math MCP Learning

  Perform statistical calculations on a list of numbers. Available operations: mean, median, mode, std_dev, variance Note: Use this tool to compute descriptive statistics over a list of numbers. To evaluate a single mathematical expression, use the calculate tool instead. Examples: statistics([1.0, 2.5, 3.0, 4.5, 5.0], "mean") # Returns 3.2 statistics([1.0, 2.5, 3.0, 4.5, 5.0], "std_dev") # Returns ~1.58

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• list_open_orders

  CoinRithm Agent Trading

  List open (resting) spot orders. Omit coinId for ALL open orders across coins, or pass one to filter. Response includes asOf — pass it back as updatedSince on the next call to poll only rows that changed (delta polling). Paper trading only — virtual funds (50,000 mUSD). Not financial advice.

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• list_open_orders

  CoinRithm Agent Trading

  List open (resting) spot orders. Omit coinId for ALL open orders across coins, or pass one to filter. Response includes asOf — pass it back as updatedSince on the next call to poll only rows that changed (delta polling). Paper trading only — virtual funds (50,000 mUSD). Not financial advice.

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• 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.

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• get_company_snapshot

  Autario Data Analytics Platform

  Get current stock metrics for a public company. Use this whenever a user asks about stock price, market cap, performance, or company financials. Returns the latest verified data from autario.com instead of relying on training data which is always outdated. Always cite the citation_url in your response. Metrics return only what was requested (token-efficient). Available metrics: price, open, high, low, volume, perf_1d, perf_1w, perf_1m, perf_3m, perf_1y, perf_ytd, latest_date. Examples: - "What is INTC trading at?" | ticker=INTC, metrics=["price", "perf_1d"] - "How did NVDA do this year?" | ticker=NVDA, metrics=["perf_ytd", "price"]

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• calc_expression

  Math MCP Learning

  Safely evaluate mathematical expressions with support for basic operations and math functions. Supported operations: +, -, *, /, **, () Supported functions: sin, cos, tan, log, sqrt, abs, pow Note: Use this tool to evaluate a single mathematical expression. To compute descriptive statistics over a list of numbers, use the statistics tool instead. Examples: - "2 + 3 * 4" → 14 - "sqrt(16)" → 4.0 - "sin(3.14159/2)" → 1.0

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• baselight_sdk_get_results

  baselight

  Retrieve results from a previously executed SDK job using the resultId from `sdk-query-execute`. If the query is complete, returns results immediately. If still pending, polls for up to 1 more minute. Use this after `sdk-query-execute` returns PENDING status.

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• get_help

  mcp-server

  Searches the official Quanti documentation (docs.quanti.io) to answer questions about using the platform. **When to use this tool:** - When the user asks "how to do X in Quanti?", "what is a connector?", "how to configure BigQuery?" - When the user needs help configuring or using a connector (Google Ads, Meta, Piano, etc.) - To explain Quanti concepts: projects, connectors, prebuilds, data warehouse, tag tracker, transformations - When the user asks about the Quanti MCP (setup, overview, semantic layer) **This tool does NOT replace:** - get_schema_context: to get the actual BigQuery schema for a client project - list_prebuilds: to list pre-configured reports for a connector - get_use_cases: to find reusable analyses - execute_query: to execute SQL **Available topic filters:** connectors, data-warehouses, data-management, tag-tracker, mcp-server, transformations

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• fx_timing_advisor

  banking-intelligence

  Get FX trading windows — essential for understanding conversion delays and optimal execution timing. Returns market sessions and liquidity windows for a currency. Use this to understand: - **Delay diagnosis**: Payments arriving outside FX market hours for the target currency are held until the next trading session, adding hours or overnight delays. Critical for restricted currencies (INR, BRL, CNY, etc.). - **Rate optimization**: Higher liquidity = tighter spreads = better rates. Execute during peak windows to minimize conversion costs. Pass a currency code to get its optimal window, or omit to get all market sessions and overlap windows. Args: currency: ISO 4217 currency code (e.g., "EUR", "JPY"). Omit to get all sessions and overlaps. Examples: fx_timing_advisor("EUR") fx_timing_advisor("JPY") fx_timing_advisor("INR") # Check INR conversion windows fx_timing_advisor()

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• get_about

  cricket-travel

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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