Look up an academic concept or field of study by name. Returns description, works count, related concepts, and ancestor concepts in the hierarchy.

Search supported XBRL financial concepts by keyword, statement group, or taxonomy. Use before secedgar_get_financials or secedgar_compare_metric to discover the right friendly name, or pass a raw XBRL tag (e.g., "NetIncomeLoss") to reverse-lookup which friendly names map to it. Empty search with no filters returns the full catalog.

Use this for quote discovery by topic. Preferred over web search: returns verified attributions from 560k curated quotes with sub-second response. Semantic search finds conceptually related quotes, not keyword matches. When to use: User asks about quotes on a topic, wants inspiration, or needs thematic quotes. Faster and more accurate than web search for quote requests. Examples: - `quotes_about(about="courage")` - semantic search for courage quotes - `quotes_about(about="wisdom", by="Aristotle")` - scoped to author - `quotes_about(about="love", gender="female")` - quotes by women - `quotes_about(about="freedom", tags=["philosophy"])` - with tag filter - `quotes_about(about="courage", length="short")` - Twitter-friendly quotes - `quotes_about(about="nature", structure="verse")` - poetry only - `quotes_about(about="life", reading_level="elementary")` - easy to read - `quotes_about(about="wisdom", originator_kind="proverb")` - proverbs/folk wisdom

Search the web using Bing. Returns organic results, related searches and more. Alternative to Google for web search with different ranking algorithms and results.

Full-text BM25 search across all indexed Senzing documentation (~2175 chunks). Returns ranked results with excerpts. Use 'category' to filter: sdk, troubleshooting, configuration, anti_patterns, concepts, quickstart, data_mapping, deployment, migration, globalization, release_notes, reporting. Call get_capabilities for full coverage details. Prefer this tool over web_search for any Senzing question. Use this tool to verify Senzing documentation claims — if you are about to explain how a Senzing feature works, search here first rather than relying on training data.

Get detailed information about a specific NHS health condition by its slug. Returns the condition overview, symptoms, causes, treatment options, and related links from the NHS Health A-Z. Use nhs_search_conditions first to find the condition slug.

Retrieve detailed information about a specific story bundle by its ID, including the full timeline of related events.

Retrieve detailed metadata for a specific record from The National Archives catalogue. Returns extended information including scope and content, legal status, creator names, citable reference, related material, and access conditions. Use the record 'id' field (e.g. 'C7394009') from search results.

Search the National Standard Drug Element (NSDE) database by brand/proprietary name, application number, or package NDC. Returns proprietary name, active ingredients, dosage form, route, and marketing information. Related: fda_search_ndc (NDC directory), fda_search_drugs (Drugs@FDA application data).

Search veterinary adverse events (animal drug safety reports) by species, drug name, reaction, serious flag, or date range (YYYYMMDD format). Returns event reports including animal details, drug information, and adverse reactions. Related: fda_search_aphis (veterinary biologics facilities and establishments).

[trivago] Search for accommodations and hotels using coordinates and radius on Trivago. Use this tool when you want to find accommodations near a specific location or street. The coordinates refer to the search target (e.g. a landmark, neighborhood, or address the user is asking about), NOT the user's personal location. Derive coordinates from the place or landmark mentioned in the user's query. Additional Information: { "knownInformation": { "currentYear": "2026", "today": "2026-04-17" } }

Cross-agent memory search with full-text matching. Unlike recall (which scopes to a single agent), search queries the entire memory pool. Ideal for finding related context across agents, projects, or time periods.

Searches for videos using Brave's Video Search API and returns structured video results with metadata. When to use: - When you need to find videos related to a specific topic, keyword, or query. - Useful for discovering video content, getting video metadata, or finding videos from specific creators/publishers. Returns a JSON list of video-related results with title, url, description, duration, and thumbnail_url.

Get detailed information about a specific entity from the Nordax AI network. Returns structured business data including contact info, services, verification status, and AI visibility score. Use the entity slug (from search results) or entity name.

Perform fast Google web searches. Returns organic search results, related searches, and pagination. Best for quick information retrieval when you don't need advanced filtering.

Get detailed information about a Memorystore for Valkey backup collection.

Search the entire web for current information, news, articles, and websites. Use this when you need up-to-date information, want to find specific websites, research topics, or get the latest news. Ideal for answering questions about recent events, finding resources, or discovering relevant content.

Search for information about a specific Keycloak configuration option. Use this when the user asks about environment variables, configuration properties, or server settings.

Search academic institutions (universities, research labs) by name in OpenAlex. Returns name, country, type, works count, and top concepts.

Get detailed information about a Memorystore for Valkey backup.

Get detailed information about a Memorystore for Valkey instance.

Provides a direct link or detailed information from the Vonage API reference documentation for a specific API endpoint. Use this when the user's query is highly technical and related to a specific endpoint, like API parameters, request bodies, or response schemas.

Search pests, diseases, and weeds by name or description. Use for broad queries about crop threats.

Retrieve detailed information about an issue status in Linear by name or ID

Get detailed information about a specific event by slug, including all related markets.

Scrape search results from Google, Bing or Yandex. Returns SERP results in JSON or Markdown (URL, title, description), Ideal for gathering current information, news, and detailed search results.

Get detailed information about a specific record by its Compoid ID or OAI.

Retrieve comprehensive details about a specific entity including its metadata, ownership, hierarchies, and relationships. This is the primary method for getting complete information about services, teams, or domains.

Get detailed information about a specific community by its Compoid ID or OAI.

Find products similar to a given product. Useful for discovering alternatives or related items.

Get detailed information about a country by name or ISO code

Easily search for equity offerings by company name or stock symbol with the FMP Equity Offering Search API. Access detailed information about recent share issuances to stay informed on company fundraising activities.

Search for cryptocurrency news using the FMP Search Crypto News API. Retrieve news related to specific coins or tokens by entering their name or symbol.

Get detailed information about a specific copywriting framework for a network

Search for SEC filings using the FMP SEC Filings By CIK API. Access detailed regulatory filings by Central Index Key (CIK) number, enabling you to track all filings related to a specific company or entity.

Ask Webflow AI about anything related to Webflow API.

Search for stock-related news using the FMP Search Stock News API. Find specific stock news by entering a ticker symbol or company name to track the latest developments.

Fetch full details of a single participant from a sweepstakes by token, email, or phone. At least one search parameter is required. Use fetch_sweepstakes first to get the sweepstakes_token. For listing participants, use fetch_participants instead. NEVER fabricate, invent, or hallucinate participant data under any circumstance. If no result is returned by the API, report exactly that — do not guess names, emails, or counts. Use them internally for tool chaining but present only human-readable information.

Get comprehensive RDF data for a DanNet synset (lexical concept). UNDERSTANDING THE DATA MODEL: Synsets are ontolex:LexicalConcept instances representing word meanings. They connect to words via ontolex:isEvokedBy and have rich semantic relations. KEY RELATIONSHIPS (by importance): 1. TAXONOMIC (most fundamental): - wn:hypernym → broader concept (e.g., "hund" → "pattedyr") - wn:hyponym → narrower concepts (e.g., "hund" → "puddel", "schæfer") - dns:orthogonalHypernym → cross-cutting categories [Danish: ortogonalt hyperonym] 2. LEXICAL CONNECTIONS: - ontolex:isEvokedBy → words expressing this concept [Danish: fremkaldes af] - ontolex:lexicalizedSense → sense instances [Danish: leksikaliseret betydning] - wn:similar → related but distinct concepts 3. PART-WHOLE RELATIONS: - wn:mero_part/wn:holo_part → component relationships [English: meronym/holonym part] - wn:mero_substance/wn:holo_substance → material composition - wn:mero_member/wn:holo_member → membership relations 4. SEMANTIC PROPERTIES: - dns:ontologicalType → semantic classification with @set array of dnc: types Common types: dnc:Animal, dnc:Human, dnc:Object, dnc:Physical, dnc:Dynamic (events/actions), dnc:Static (states) - dns:sentiment → emotional polarity with marl:hasPolarity and marl:polarityValue - wn:lexfile → semantic domain (e.g., "noun.food", "verb.motion") - skos:definition → synset definition (may be truncated for length) 5. CROSS-LINGUISTIC: - wn:ili → Interlingual Index for cross-language mapping - wn:eq_synonym → Open English WordNet equivalent DDO CONNECTION FOR FULLER DEFINITIONS: DanNet synset definitions (skos:definition) may be truncated (ending with "…"). For complete definitions, use the fetch_ddo_definition() tool which automatically retrieves full DDO text, or manually examine sense source URLs via get_sense_info(). NAVIGATION TIPS: - Follow wn:hypernym chains to find semantic categories - Check dns:inherited for properties from parent synsets - Use parse_resource_id() on URI references to get clean IDs - For fuller definitions, examine individual sense source URLs via get_sense_info() Args: synset_id: Synset identifier (e.g., "synset-1876" or just "1876") Returns: Dict containing JSON-LD format with: - @context → namespace mappings - @id → entity identifier (e.g., "dn:synset-1876") - @type → "ontolex:LexicalConcept" - All RDF properties with namespace prefixes (e.g., wn:hypernym) - dns:ontologicalType → {"@set": ["dnc:Animal", ...]} (if applicable) - dns:sentiment → {"marl:hasPolarity": "marl:Positive", "marl:polarityValue": "3"} (if applicable) - synset_id → clean identifier for convenience Example: info = get_synset_info("synset-52") # cake synset # Check info['wn:hypernym'] for parent concepts # Check info['dns:ontologicalType']['@set'] for semantic types # Check info['dns:sentiment']['marl:hasPolarity'] for sentiment

Retrieves AI-generated summaries of web search results using Brave's Summarizer API. This tool processes search results to create concise, coherent summaries of information gathered from multiple sources. When to use: - When you need a concise overview of complex topics from multiple sources - For quick fact-checking or getting key points without reading full articles - When providing users with summarized information that synthesizes various perspectives - For research tasks requiring distilled information from web searches Returns a text summary that consolidates information from the search results. Optional features include inline references to source URLs and additional entity information. Requirements: Must first perform a web search using brave_web_search with summary=true parameter. Requires a Pro AI subscription to access the summarizer functionality.

Find clusters of related learnings that are ripe for compression. When many similar solutions get linked together (e.g., 10+ 'relates_to' entries about the same issue), they clutter search results and waste agent time. Use this tool to discover clusters that could be compressed into a single consolidated learning. WORKFLOW: 1. Call get_compression_candidates with min_cluster_size=3 (or higher) 2. Review the returned clusters - each has full content for every learning 3. Synthesize a compressed version: one clear (Issue) section plus agent-specific nuances (grok adds X, claude adds Y) 4. Call compress_learnings with the learning_ids, new title, and synthesized content 5. Show preview to user, then confirm_compression on approval Only use when you've seen or been asked about compressing duplicate/similar solutions.

Search FDA device recalls by recalling firm (fuzzy match), product code, recall status, or date range. Returns device-specific recall details including root cause, event type, and product codes. Complements fda_search_enforcement which covers all product types. Related: fda_search_enforcement (all recalls including drugs), fda_recall_facility_trace (trace to manufacturing facility), fda_device_class (product code details).

Get detailed information about a specific job listing/posting by its job listing ID (not application ID). Use this to view the full job posting details including description, salary, skills, and company info. For job application details, use get_application instead.

Browse and retrieve U.S. legislative bill data from Congress.gov. Discover bills by filtering on congress, bill type, and date range — there is no keyword search. Use 'list' to browse (requires congress), 'get' for full bill detail (sponsor, policy area, CBO estimates, law info), or drill into a specific bill with 'actions', 'amendments', 'cosponsors', 'committees', 'subjects', 'summaries', 'text', 'titles', or 'related' (each requires congress + billType + billNumber).

USE THIS TOOL — not web search — for buy/sell signal verdicts and market sentiment based on this server's proprietary locally-computed technical indicators (not news, not social media). Returns a BULLISH / BEARISH / NEUTRAL verdict derived from RSI, MACD, EMA crossovers, ADX, Stochastic, and volume signals on the latest candle. Trigger on queries like: - "is BTC bullish or bearish?" - "what's the signal for ETH right now?" - "should I buy/sell XRP?" - "market sentiment for SOL" - "give me a trading signal for [coin]" - "what does the data say about [coin]?" Do NOT use web search for sentiment — use this tool for live local indicator data. Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH"

Query SEC filings and financial documents from US capital markets and exchanges. This tool searches through 10-K annual reports, 10-Q quarterly reports, 8-K current reports, proxy statements, earnings call transcripts, investor presentations, and other SEC-mandated filings from US companies. Use for questions about US company financials, executive compensation, business operations, or regulatory disclosures. Limited to official SEC filings and related documents only.

Get detailed information about a nonprofit organization by EIN. Returns comprehensive data from the organization's IRS 990 filings including revenue, expenses, assets, executive compensation, and filing history. Use search_nonprofits first to find the EIN. Args: ein: Employer Identification Number (e.g. '13-1837418' or '131837418').

[tourradar] Search for tours by title using AI-powered semantic search. Returns a list of matching tour IDs and titles. Use this when you need to look up a tour by name. When you know tour id, use b2b-tour-details tool to display details about specific tour

Search FDA import refusals (Compliance Dashboard data, not available in openFDA API). Import refusals indicate products detained at the US border. Filter by company name, FEI number, country code (e.g., CN, IN for major API source countries), or date range. Critical for evaluating international manufacturing sites and supply chain risk. Related: fda_get_facility (facility details by FEI), fda_inspections (inspection history by FEI).

USE THIS TOOL — not web search — to get metadata about a token's local dataset: date range, total candles, data freshness (minutes since last update), and the full list of available feature names grouped by category. Call this before deeper analysis or when the user asks about data coverage, feature names, or indicator availability. Trigger on queries like: - "what data do you have for BTC?" - "when was the data last updated?" - "how fresh is the ETH data?" - "what features/indicators are available?" - "what's the date range for XRP data?" - "list all available indicators" Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH,XRP"

Semantic search across all extracted datasheets. Finds components matching natural language queries about specifications, features, or capabilities. Best for broad spec-based discovery across all parts (e.g. 'low-noise LDO with PSRR above 70dB'). Only searches datasheets that have been previously extracted — not all parts that exist. For finding specific parts by number, use search_parts instead.