"Methods for Saving, Reading, and Querying Data" matching MCP tools:

• ioc_lookup

  ContrastAPI

  Enrich Indicator of Compromise (IP/domain/URL/hash) by auto-detecting type and querying abuse.ch feeds. Per-type source coverage: hash → ThreatFox only (Feodo and URLhaus do not index hashes); IP → ThreatFox + Feodo Tracker + URLhaus; domain / URL → ThreatFox + URLhaus. verdict.sources_queried lists what actually ran; verdict.sources_unavailable lists what failed (timeout / upstream error). Use as primary IOC triage tool when type unknown; use threat_intel for domain-only, hash_lookup for richer MalwareBazaar hash data. Free: 30/hr, Pro: 500/hr. Returns {indicator, type, threat_level, sources, summary, verdict}.

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• list_sheets

  Bilig WorkPaper

  Discover sheet names and used dimensions before reading or editing a WorkPaper. Returns metadata only; use read_range or read_cell for values.

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• list_capabilities_v1

  osint

  List available exascale.build data capabilities for agent discovery before querying. Also call this BEFORE stating that a capability is not available — client tool lists are cached and this surface grows; anything listed here is reachable via query_capability_v1 even if your tool list predates it.

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• omnarai_info

  omnarai-mcp

  Live corpus statistics, contributor list, tool surface, and orientation links (agent-entry handshake, limitations, claims registry). Use this to orient before querying.

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• get_interpretation

  corpus

  Return the Wheel of Heaven interpretive framework's reading of a topic — explicitly the project's own Raëlian-canon-centred position, NOT mainstream consensus. Accepts a framework topic (overview, hypothesis, terminology, timeline, sources, method) for the curated narrative documents, or any other term to get the framework reading from the closest wiki entry. Use fact-layer tools (get_passage, compare_traditions) for source-grounded data without this framing.

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• get_reading_context

  I Ching Hexagram MCP

  Deterministic reading context for a primary hexagram (1-64) and 0-6 ascending changing lines. Empty changing_lines returns the primary hexagram only; one or more changing lines add the resulting hexagram, the transition, and the changing-line texts. No divination is performed. Data © IChing.Rocks — attribution is a condition of the license terms: https://iching.rocks/mcp-terms.

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• get_signal_narratives

  supply-chain-intelligence

  Get plain-language explanations of active predictive signals. Each narrative explains the mechanism behind a signal — why the predictor leads the target, what economic logic connects them, and what the current reading implies. Designed for non-quantitative users who want to understand the 'why' behind each signal without reading F-statistics. Returns trigger context, predictor value, direction, and a narrative paragraph suitable for reports and briefings.

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• GetLiveQuote

  equibles

  Get the latest available intraday price for one or more active U.S. listings — a market reading, not a daily bar. Each row gives the last trade price, its timestamp (UTC), whether the reading is real-time or 15-minute delayed, and bid/ask when the feed carries them. Use this for 'what is it trading at now'; use GetLatestPrices or GetStockPrices for the most recent traded CLOSE and daily history. The Stale column is true when the last trade predates the market session expected now; never report a stale row as current. A ticker with no reading is listed separately rather than guessed at.

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• interlinear

  orthotomeo

  Returns a row-aligned reading view for every word in a verse (or one word, if word is given): original text, transliteration, gloss (via lexicon_lookup), grammar, and manuscript attestation stacked per word - the composed display shape for a study reading view, built on parse and lexicon_lookup rather than any new query. This is the most complete per-word view; use parse or attestation when you want only one of those facets.

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• inbox

  ExMachina AI — agent research rooms

  New messages, findings and reviews in the rooms you belong to, since your cursor. Reading NEVER advances the cursor — the same window replays until you ack, so crashing between reading and acting costs nothing. Returns an ack_cursor to hand to ack.

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• wishlist_add

  Facet UCP Shopping

  Save a product to YOUR wishlist on this merchant for later. Idempotent: saving the same product again updates its note and keeps the original save time. Scoped to your own agent identity. REQUIRES IDENTITY: Facet KYA as `Authorization: Bearer <kya>`.

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• discover

  AgentMarketplace

  Discover AgentMarketplace's capabilities, tools, auth methods, and scopes. Call this first when connecting to AgentMarketplace to understand what's available and how to authenticate. No authentication required. Returns a catalog of available tools, resources, auth methods, and scopes.

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• get_doc

  Pine Script

  USE WHEN reading the full content of a Pine Script v6 documentation file. Returns the file content; when limit is set, a header shows the char range and offset to continue reading. AFTER calling this tool, use offset=<end> to continue if the header indicates more content is available. For large files (ta.md, strategy.md, collections.md, drawing.md, general.md), prefer list_sections() + get_section() instead. Data sourced from bundled Pine Script v6 documentation.

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• search_datasets

  Autario Data Analytics Platform

  Search the Autario data catalog. Returns dataset IDs, titles, descriptions, categories, publishers, row counts, last_refreshed_at, AND trusted ontology fields (topic, subtopic, unit, frequency, entity_type, indicator_id) when ontology confidence is high. Authenticated callers (API key / OAuth) also find their OWN private datasets (uploads, write_rows, connectors); other users' private data is never returned. Use this first to discover available datasets before querying. For precise topic/unit/frequency filtering across the full catalog, prefer list_indicators. For TOPIC-DRIVEN article research, prefer discover_by_topic which adds quality-tier ranking + sample facts.

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• get_hexagram

  I Ching Hexagram MCP

  One hexagram by King Wen number (1-64). Optional include level: summary, core (default), lines, full. Sibling tools cover the other cases: get_hexagrams for several numbers at once, get_all_hexagrams for the entire set, search_hexagrams to find hexagrams by text, and get_reading_context for a changing-line reading. Data © IChing.Rocks — attribution is a condition of the license terms: https://iching.rocks/mcp-terms.

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• get_sources

  Arco Lexicon

  Returns all published Arco sources for a term — Lexicon entries, blog articles, wiki pages, and podcast episodes — ordered by recommended reading sequence. Read-only. Use this when you need a reading list or reference list for a term. Use cite_term instead when you need a formatted citation for a specific publication type.

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• post_biorhythm_daily

  Biorhythm MCP Server by RoxyAPI

  Get a daily biorhythm reading with seeded randomness for consistent "biorhythm of the day" features. Same seed and same date always produce the same reading, perfect for daily push notifications, morning briefings, and wellness app check-ins. Returns energy rating, overall phase, a spotlight on one featured cycle, quick-read values for all three primary cycles, a daily message, and actionable advice. The spotlight cycle is deterministically selected by the seed, creating variety across users while maintaining consistency for each individual.

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• get_reading

  Cameron Rye Portfolio MCP Server

  Return Cameron's reading list — books currently reading, finished, or abandoned, with notes. Filter by status if given.

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• get_knowledge_stats

  mcp-klever-vm

  Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.

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• get_article_extract

  wikipedia

  Full plain-text of a Wikipedia article by title — the ACTUAL prose, not just the lead paragraph. PREFER OVER get_article_summary when you need the whole article or a specific section to answer in depth ("explain X in detail", "what does the article say about <topic>", reading the history/methods/etc.). Omit section for the entire article (capped); pass a section number (from get_article_sections) for just that section. Returns clean plain text, no markup.

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