"Search for information related to 'Red Note'" matching MCP tools:

• get_losing_positions

  OneQAZ Trading Intelligence

  Purpose: Losing paper positions (ROI < 0). Convenience wrapper around get_positions(max_roi=-0.01). Triggers (casual questions too): "what's underwater?", "지금 뭐가 물려 있어?", "show me the red ones", "any positions in trouble?", "얼마나 손실 중이야?". When to call: drawdown / risk review. Prerequisites: none. Next steps: get_position_detail, get_role_analysis. Caveats: paper-trading data only. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 20) Disclaimer: Information only, not investment advice.

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• search_claimed_colors

  GleanMark Trademark Search

  Search or count US trademarks by the colours they claim, parsed from USPTO colour-claim statements. Neither TESS nor its successor offers this. TWO levels: level="family" (16 families; searching "red" also finds dark red, maroon, burgundy) and level="shade" (the exact term as claimed, e.g. "dark red"). Use match="all" for "claims at least these colours", match="only" for "claims exactly these and nothing else", match="only_bw" to also tolerate black/white. Set claimed=false to count marks whose statement DISCLAIMS colour. Modes: count, top_owners, list_marks, vocabulary (list the valid families or shades with corpus counts), explain_term (which family a shade belongs to), by_serial (what one mark claims).

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• principles.search

  AI Design Blueprint Doctrine

  Search Blueprint principles by free-text query and return the closest matches ranked by relevance. Use this to find principles related to a specific design challenge, failure mode, or keyword (e.g. 'reversibility', 'approval flow', 'delegation boundary'). Returns principle title, cluster, definition, rationale, and implementation heuristics. Prefer this over principles.list when you have a specific topic in mind rather than wanting all principles. NOTE: search currently covers the 10 agentic principles only; for the 8 experience-design laws or the 8 spec-quality laws use principles.list(lens='surface') / principles.list(lens='spec') until search spans all three lenses.

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• recommend

  sella

  Ranked related listings with per-item reasons. Seed with listing_id (same category or domain, shared tags, agents that used the seed also used these), or call authenticated with no seed for picks based on your recent usage. Not a keyword search: use search_catalog for that.

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• brc_route_request

  Red by Big Red Cloud

  MANDATORY FIRST STEP for Red requests that may create, update, delete, post, email, or batch-write company data. Classify and route a user request between Red's two main behaviours: action (perform the accounting workflow) and help (manual Big Red Cloud instructions). Also returns connection, read, unsupported_action, or unknown when those specialised modes apply. Pass the user's complete original message — never only a confirmation word such as yes or delete it when starting a new action. Action mode always returns a non-empty preferredTools list, allowedTools, and an opaque short-lived routeToken — pass that routeToken on every subsequent transactional tool call for the permitted workflow, including after lookup and preview. unsupported_action means Red cannot map the request to an enabled workflow — explain that to the user; do not invent a routeToken. Help mode runs the unified help search, returns manual resources, sets blockTransactionalTools true, and never issues a transactional routeToken. How-to wording (how do I, how can I, show me how, tell me how, where do I, what are the steps, manual steps for, red-help, /red-help) → mode help. Explicit action wording (add a customer, create a sales invoice, delete customer ABC, can you add a customer for me) → mode action with routeToken. A routeToken does not replace preview-before-posting or user confirmation (confirmWrite). Help mode does not persist — each brc_route_request call is classified independently unless returning confirmation continuation for a pending preview. Read-only classification and help search. Does not require a connected company. When a company is already connected, pass connectionRef silently so the routeToken can bind to that connection and survive MCP session rotation.

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• principles.search

  AI Design Blueprint

  Search Blueprint principles by free-text query and return the closest matches ranked by relevance. Use this to find principles related to a specific design challenge, failure mode, or keyword (e.g. 'reversibility', 'approval flow', 'delegation boundary'). Returns principle title, cluster, definition, rationale, and implementation heuristics. Prefer this over principles.list when you have a specific topic in mind rather than wanting all principles. NOTE: search currently covers the 10 agentic principles only; for the 8 experience-design laws or the 8 spec-quality laws use principles.list(lens='surface') / principles.list(lens='spec') until search spans all three lenses.

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• web_search_exa

  exa

  Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.

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• search

  Northwestern University Libraries Digital Collections API

  Search for works in the Digital Collections using field-based and/or natural language queries. If both a natural language query and specific field values are provided, the natural language query will take priority, using the specified field values as additional constraints. The result will also include a list of aggregations that show how many results match different values for certain fields. For example, you could see how many results match each collection, work type, or visibility and use that information to refine your search. Perform an empty search to retrieve all works and their aggregations. NOTE: Structured field values enclosed in double quotes will be treated as exact, case-sensitive matches, while unquoted values will be treated as full-text searches.

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• search_mnemons

  argo-mcp

  Full-text search across mnemon titles, tags, and body content (case-insensitive substring). Prefer this over list_mnemons when looking for entries by what they contain — e.g. "what do we know about the Red Oracle?". Each hit reports which fields matched (title/tags/content) and up to 3 body snippets; a snippet's blockId is the same block id get_mnemon returns, so you can target the matched block directly in update_mnemons_content. Only content visible to the current user is searched. Returns at most `limit` hits (default 20, max 50) plus `hasMore`.

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• fda_suggest_subsidiaries

  FDA Data MCP

  Discover subsidiary and related company names using FDA datasets first, then supplement with external corporate hierarchy sources (SEC EDGAR Exhibit 21 and GLEIF) when available. Costs 2 credits. Returns FDA name candidates, evidence-backed company-record suggestions, EDGAR subsidiaries, GLEIF subsidiaries, existing aliases, and facility coverage stats. The coverage.unlinked_feis count indicates how many facilities may be missing from the current alias set. The workflow is conservative and explainable: it validates candidates against FDA company records instead of auto-linking them. Note: EDGAR and GLEIF may lag recent acquisitions or divestitures, so missing external results do not rule out FDA-visible subsidiaries. Recommended workflow: 1. fda_suggest_subsidiaries, 2. fda_link_subsidiaries for distinct child companies or fda_save_aliases for true same-company variants, 3. fda_manufacturing_risk_summary or fda_search_family_facilities. Related: fda_link_subsidiaries (persist explicit family links), fda_save_aliases (persist same-entity names), fda_manufacturing_risk_summary (family-aware company rollup), fda_search_family_facilities (family-aware FEI search).

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• collection.create

  DocImprint

  Create a named document collection for cross-document semantic search and RAG-based Q&A. Free — no credits consumed. Use when you want to group related evidence bundles for unified search (collection.search) or question answering (collection.ask). NOTE: Collections start empty. Add evidence bundles with collection.add_document. Indexing is async — once complete, use collection.search or collection.ask. Returns: { collection_id: string (col_...), name: string } Example prompts: - "Create a collection called Q4 Contracts for my quarterly reports." - "Set up a new document group named Due Diligence Docs." - "Make a collection to organize my vendor agreements."

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• cta_train_positions

  Cta

  Live Chicago CTA 'L' train positions on one or more lines — where every Red Line, Blue Line, Brown, Green, Orange, Purple, Pink, or Yellow train is right now: lat/lon, heading, next station with ETA, destination, approaching and delayed flags. Answers "where are the Blue Line trains" for the Chicago L. Example: cta_train_positions({ routes: "Red,Blue" })

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• brc_create_sales_invoice_gen_ref

  Red by Big Red Cloud

  Creates a BRC sales invoice with an auto-generated reference using a raw BRC payload. Use when the company is configured for auto-generated sales references. Previews before posting include a Missing or not provided section for blank customer phone or email only — warnings only, do not invent values. Nothing is written to Big Red Cloud until you confirm. In the raw payload, the BRC "Note" field (JSON `note`) defaults to the customer name (BRC customer "Name" / JSON `name`) when omitted and must never be set to the product name; the BRC "Delivery To" address (JSON `deliveryTo`) is only included when explicitly provided. Raw BRC payloads for multi-line sales invoices must use `productTrans[]` (one object per product line). Each product line must include its own nested `acEntries[]` for Sales analysis posting — do not send a top-level `acEntries` array on the invoice. Required header fields include customerId, acCode, entryDate, procDate, saleRepId, saleRepCode, bookTranTypeId, totalNet, totalVAT, total, and unpaid. Red validates line amounts, nested analysis values, qty × unit price (using useTaxInclusiveUnitPrice), and header totals before posting, and returns all validation issues together when the payload does not reconcile. Preview-before-posting still shows what Red will post and waits for confirmation before anything is written to Big Red Cloud. Optional. BRC "Note" field on the sales document (JSON field `note`). Leave blank to default it to the customer name (BRC customer "Name" / JSON `name`). Do not use the product name as the note. Only set this when the user explicitly provides a note. Optional. BRC "Delivery To" address (JSON field `deliveryTo`). Leave blank unless the user explicitly provides a delivery address. Do not invent or default a delivery address (for example "MCP Test"). Requires saleRepId and saleRepCode. Do not use default or demo sales rep values. If missing, list sales reps or ask the user to choose one before creating. Requires analysisCategoryId and accountCode from a Sales Analysis category on each product line. Do not default to CR01/Customer or the first listed category. Set confirmCrAnalysisCategory=true only after the user confirms a CR account code is intentional. When Gross Price Entry is enabled for sales invoicing, this tool requires priceBasis. Use priceBasis "gross" when unit prices are VAT-inclusive/gross, or priceBasis "net" when unit prices are VAT-exclusive/net. Do not tell the user to disable Gross Price Entry if they have provided priceBasis. Do not invent productId values and do not use productId 0 or 1 as placeholders. productId 0 and 1 are treated as placeholders and are blocked at runtime before preview-before-posting and before posting. If a product line is needed, first call brc_list_products and use a real product from the connected company. If no suitable product exists, ask the user whether to create/select a product, or use a service/non-product line only if the endpoint supports it. Sales invoices must use Sales VAT rates. Purchase/non-Sales VAT rates are blocked before preview-before-posting and before posting, even if the VAT percentage matches. Requires routeToken from brc_route_request for the matching action workflow. Call brc_route_request first with the user's complete original action request. Retain the returned routeToken through lookup, preview, and confirmation, and pass the same token on the final permitted transactional tool call. Never invent a placeholder token. A routeToken is not permission to post — preview-before-posting and confirmWrite/confirmDelete still apply. Also requires confirmCounterpartyExplicit: true once the user has explicitly named or confirmed the customer/supplier in the current conversation. Do not reuse a counterparty from an earlier preview without that confirmation.

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• dcl_pipeline_start

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

  SESSION Management ($0.05). Generates a new `pipeline_id` and returns session metadata (scope, expiry, initial drift_mode) for organizing a series of related checks under one identifier. Note: this call does not currently link the returned pipeline_id to later evaluate_* calls — there is no server-side session state that ties subsequent audits back to it; it is an identifier/timestamp issuer, not an active tracking session. Use this to obtain a shared reference ID for your own client-side grouping of a multi-step audit sequence; do not rely on it to automatically aggregate drift across calls.

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• address_related_addresses

  Nansen

  Get information about related addresses of an input address. Note: This only includes the the "special" connections 'First Funder', 'Signer', 'Previous Signer', 'Multisig Signer of', 'Previous Multisig Signer of', 'Deployed via', 'Deployed by', 'Deployed Contract', 'Created Contract', 'Created by'. To get related wallets, also check address counterparties. First funder exchange withdrawal address does usually NOT belong to the same entity as the address, only deposit addresses. Only information is that it has been funded by the exchange.

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• general_search

  Nansen

  General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)

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• general_search

  Nansen

  General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)

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• plot_line_chart

  Math MCP Learning

  Create a line chart from data points (requires matplotlib). Note: Use for general XY data. For time-series price data with optional moving average, use plot_financial_line instead. Examples: plot_line_chart([1, 2, 3, 4], [1, 4, 9, 16], title="Squares") plot_line_chart([0, 1, 2], [0, 1, 4], color='red', x_label='Time', y_label='Distance')

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• get_neighbors

  Fodda Deep Research

  Discover what's connected to a specific trend — related brands, technologies, locations, and cross-domain links that search alone wouldn't surface. Returns curated editorial connections between trends that web search cannot provide. Use after search_graph to map the territory around a trend, find which brands are connected, or understand cross-domain relationships. Requires node_id from a prior search_graph result.

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• brc_getting_started

  Red by Big Red Cloud

  Use this whenever the user asks how to start, says start or getting started, wants to connect or reconnect companies, or asks for a concise overview of Red. Return the current customer-friendly overview, connection steps, help options, safe workflow, and example prompts. For a specific tutorial, screenshot, article, YouTube video, or webinar question — or any red-help / /red-help command — use brc_red_help (or brc_find_help_resources for compatibility). If the user asks what they can do or what permissions they have, call brc_get_deployment_policy instead and state only current permissions — do not list tool names or counts.

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