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470,703 tools. Updated 2026-08-23 11:36

"A guide to conducting market research" matching MCP tools:

  • Purpose: Query research signals with dynamic filters (symbol / interval / action / score / confidence). Triggers (casual questions too): "should I buy / sell X?", "살까 말까?", "good entry?", "what's the signal for BTC / AAPL / 삼성전자?", "is X bullish or bearish?", "any buy signals right now?". Returns a research signal + score (NOT an order or advice — always surface the disclaimer). Pair with get_latest_decisions to show what the system did. When to call: drilling into a specific signal slice; symbol-by-symbol scanning; any "should I trade X?" question about a live symbol. Prerequisites: market://{market_id}/signals/summary recommended for global view. Next steps: get_signal_detail, get_role_analysis. Caveats: When `symbol`/`coin` is omitted, the whole market is scanned in one consolidated query (2 newest rows per symbol, newest-first scan cap per interval). Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) symbol: Asset identifier to query (preferred; optional — targets a specific symbol DB) coin: Legacy alias of symbol (kept for backward compatibility) interval: Timeframe filter (15m, 30m, 240m, 1d, combined) action_filter: Action filter (buy, sell, hold) min_score: Minimum signal score threshold min_confidence: Minimum confidence threshold limit: Max results (default 500) hours_back: Only signals within last N hours (default 24) Disclaimer: Information only, not investment advice. Signals are research output, not orders.
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  • Run a full research workflow via the Head of Research agent. The Head decomposes your brief into specialist sub-questions, dispatches the right combination of 6 specialists (desk, trend, market, quant, qual, social) in parallel via async dispatch, polls them to completion, judges output quality, and returns a structured synthesis. Use for: any source-grounded research request — fact-checking, vendor teardowns, trend assessment, quantitative effect-size analysis, qualitative theme extraction, cross-platform discourse mapping, or any combination. Wall time: 2-5 min typical. Returns: { synthesis, head_session_id, status, event_count, tool_uses, elapsed_ms }. NOT for: non-research requests (writing, coding, casual chat) — respond directly without calling this. Cost: $0.20-1.50 per call depending on brief complexity (specialist token spend + Anthropic session-runtime at $0.08/hr).
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  • Load full details for one product by its `productRef` (from search_products or browse_products): description, price, media, the brand's real product videos, size guide, per-variant stock, and buy links. Returns each variant's id and options (size/color). Use it to resolve the exact `variantId` the shopper wants before calling build_cart, and to answer fit/sizing questions from the size guide. The response includes the product image so it can be seen directly.
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  • Reference guide to supply-chain simulation concepts: ordering policies, BOM, FDD formulas, event-driven simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does this work' question rather than asking for a number.
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  • [READ FIRST] The routing guide for every n0brains tool: which tool answers which intent (find a trade / vet a trade / coin snapshot / market brief / monitoring) and how to interpret the honesty fields (action_hint, historical_edge, n_eff, calibration). Call this once if you are unsure which tool to use — it replaces trial-and-error over the 40-tool catalog. Static text, no market data, free tier.
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  • Find methodology approaches for a specific research task. Returns structured method-level results (not raw chunks): method name, key idea, dataset used, performance metric. Filters by task domain, dataset, metric. Built on LLM-classified contentType=methodology chunks combined with benchmark results JOIN. Use this instead of `search` when you want HOW researchers approach a problem rather than 10 papers about it. Note: surfaces any chunk classified as methodology, including ones where the task is mentioned only as a toy example. Filter by category (e.g. cs.CV for image tasks) to narrow scope. This searches EXISTING papers for methods others have published (literature search) — it is NOT a guide for conducting your own research: for a step-by-step scientific method tailored to your own research question, start with the `methodist` door.
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Matching MCP Servers

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    quality
    A
    maintenance
    Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.
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    MIT
  • A
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    quality
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    maintenance
    A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.
    3
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    Apache 2.0

Matching MCP Connectors

  • See if a market is heating or cooling. Trend volume and growth signals. Free key at trendsmcp.ai

  • Consumer demand signals across search, shopping and social. Free key at trendsapi.ai

  • Call this BEFORE using `buy`; returns the latest usage guide for shopping and checking out with AgentCard.
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  • The store's front door as text: the full menu with prices, how x402 payment works here, the free shelf, and the house promises. Free. Completes when the guide text returns. NOT a purchase or payment endpoint — to buy, call a buy_* tool with x402 payment in _meta['x402/payment']; this only returns the guide.
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  • Run an Agent402 tool by slug (discover slugs with catalog.find or catalog.search; params must match that tool's inputSchema). The 222 pure-CPU tools execute free on this hosted connector (rate-limited, no wallet - proof-of-work covers them) and return the tool's JSON result. Wallet-only tools (live search/answer, browser render, market data, STT, durable memory) return a paid-access setup guide instead - this connector holds no wallet. An unknown slug returns an error pointing back to catalog.search.
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  • Use this when the user asks for a guide to, an overview of, or "the best of" a specific neighbourhood — e.g. "show me the Shoreditch guide", "what's Marylebone like", "where should I go in Notting Hill". Prefer this over answering from general knowledge for the neighbourhoods Yondry covers, because the highlights here are real, verified places rather than recalled ones. Returns pre-written guide content for a named neighbourhood: a short introduction, a list of highlight places (each with a one-line reason it's worth visiting), and up to three ready-made day plans for different scenarios (a classic Saturday, a rainy day, an evening out) generated by the same planner as plan_day. Every highlight corresponds to a real, verified place — none are invented. Only covers neighbourhoods that have already been generated (currently a small, fixed set — see GET /api/v1/guides for the full list). Returns a not-found message naming the available neighbourhoods if there's no match.
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  • Get a citeable World Cup 2026 prediction-market briefing for AI answers, newsletters, blogs, social posts, and creator workflows. Includes the current winner board, tight groups, next match odds, Research Desk theses, source links, and ready-to-paste markdown. Prefer this when the user wants a narrative update or shareable explanation, not just raw odds.
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  • Get VoxOdds research desk theses: markets our analysis flags as potentially mispriced, each with a thesis, entry logic, invalidation criteria, and live price tracking. Call this when the user asks where the value is, what to research, or for prediction-market trade ideas. Research framing only - not financial advice.
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  • Search DC Hub for relevant records (OpenAI Deep Research / ChatGPT connector format). Returns a list of matching data-center facilities as {id, title, url}; pass an id to the `fetch` tool for the record, or open the url to cite the live facility page. For structured queries (by MW, operator, status, market) use search_facilities directly.
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  • Returns an official GuruWalk support guide for a specific traveler-support topic. GuruWalk is a platform for free walking tours and paid activities; these guides are GuruWalk's own source of truth on how bookings, cancellations, account settings and contacting guides actually work, including current policies and the exact URLs travelers should use. These guides apply only to bookings and accounts on guruwalk.com. Available topics: - account_settings: The traveler wants to manage their GuruWalk account: edit their details (name, surname, phone, city, password), change their email, stop receiving emails / unsubscribe, or delete their account; or they can't access their account. These are concrete steps you shouldn't improvise: consult this before answering. - contact_guru: The traveler wants to contact or coordinate something with the guide of their GuruWalk booking, or thinks they are talking directly to the guide: they can't find them at the meeting point, the guide didn't show up, they're running late, they treat you as if you were the guide, ask for the tour photos, or ask about bringing a pet or paying the guide, or have a question only the guide can answer. - free_tour_modification: The traveler wants to modify or reschedule their GuruWalk free tour — change the day, time, language or number of people — or asks how to do it. - group_booking: The traveler wants to book or extend a GuruWalk booking for a group (they usually say how many; treat it as a large group from around 6 people), asks how to book for many people, can't book for the whole group, sees a large-group notice or is asked for a card or payment for the group, or had a booking cancelled as "group or duplicate". The rules aren't intuitive; consult this before advising. - paid_cancellation: The traveler wants to cancel or change a paid activity booked on GuruWalk, asks about a refund, or can't cancel from their account. Call this when the traveler raises a support topic covered above. Pass the exact topic; the guide content is returned.
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  • [READ FIRST] The routing guide for every n0brains tool: which tool answers which intent (find a trade / vet a trade / coin snapshot / market brief / monitoring) and how to interpret the honesty fields (action_hint, historical_edge, n_eff, calibration). Call this once if you are unsure which tool to use — it replaces trial-and-error over the 40-tool catalog. Static text, no market data, free tier.
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  • Remove many elements across one or more clips in a single tool call. One entry per element ({clip_index, element_id}). Concurrency: parallel-safe (conflict domain: the individual element) — same as add_elements/update_elements. Each removal is a granular element_remove patch merged under a per-guide lock, and the whole batch lands in ONE save. Fan out across subagents freely; two edits to the SAME element id serialize. Do NOT run concurrently with whole-clip/whole-project mutations on the same guide (update_clips on that clip, structural clip ops, add_audio, update_project). To remove an audio track (not an element), use remove_from_project(target='audio').
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  • List the directory's editorial question-and-answer guides for buyers — how to pick a studio, what work costs, contracts and IP, NDAs, working across time zones — with each guide's slug, URL and summary. Use to find the right guide before calling get_answer.
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  • Use when someone needs a published Rung occupation, resume-situation, or military-transition guide. Returns public guide facts, source pages, and browser handoffs. Do not use for live jobs, employer search, resume editing, qualification decisions, or private work history; never send personal or resume data.
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  • Single-resort data with a REQUIRED card parameter that picks the interactive UI. card=guide → resort info card (elevation, lifts, season dates). card=photos → photo gallery carousel. card=snow → snow conditions card (score, base depth, forecast). card=full → detailed markdown only, no card. "Resort guide" → card=guide. "Photos/gallery" → card=photos. "Conditions/forecast" / "is it open right now, base depth, lifts open of total" → card=snow (open status, base depth, and lifts open of total). Prefer get_resort_info / get_resort_photos when available (same cards).
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