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678,900 tools. Updated 2026-10-19 22:54

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

  • 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}.
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • Save or append a full chat transcript (messages + summary). Exclude children's personal data under 16/higher consent age, HIPAA PHI, PCI payment card data, and adult content; request redaction before saving. Prefer palim_save_context for compact handoffs. For metadata-only or URL updates use palim_update_session_metadata / palim_update_session_references. When appending: reuse session_id + title, fetch existing messages first, send only new ones. Always pass a complete summary and metadata.tool_source.
    Connector
    Destructive
    No auth
  • Twelve Data reference list of supported ETF symbols (64,000+ listings worldwide) with exchange and country metadata — paged, default 200 rows, `count` is the total matched. Filter by symbol (e.g. "SPY"), country or exchange. Use to discover or validate ETF tickers before querying price endpoints. A stock ticker (e.g. "AAPL") is not an ETF and returns an empty list with `empty_reason: wrong_instrument_class` — use the stocks tool for those.
    ConnectorNo auth
  • Live corpus statistics, contributor list, tool surface, and orientation links (agent-entry handshake, limitations, claims registry). Use this to orient before querying.
    ConnectorNo auth
  • 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.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    A
    quality
    C
    maintenance
    Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.
    8
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Apache 2.0

Matching MCP Connectors

  • Use this when the user asks what their chart says about one area of life (career, marriage, finance, health, property, children, education, travel, legal and others) and a reproducible verdict with its reasons and sources is wanted. Prefer it to get_forecast when no written narrative is needed. Deterministic reading of one life area: the verdict, the factors for and against it, timing windows, whether the engine's own methods agree, and the classical books the reading draws on. Every layer is declared as present, computed_empty, not_covered or failed, so nothing is silently missing. No language model is called: the same chart always gets the same reading. Cost: 5 credits per call (only successful calls are charged; a sandbox key is free and returns a fixed sample). Deterministic: the same input always gives the same answer. Example arguments: {"birthData":{"date":"1990-05-12","time":"14:35","timezone":"Asia/Kolkata","latitude":28.6139,"longitude":77.209},"domain":"career"}
    ConnectorNo auth
  • Read one privacy policy or terms-of-service page and return a grounded verdict, eight fixed yes/no/partly/not-stated answers, and up to five findings, each with a verbatim quote from the document. Use this instead of fetching and reading the page yourself. A policy page is 20,000-60,000 tokens of context, and many are rendered by JavaScript so a plain fetch returns an empty shell without saying so. This returns about 1,000 tokens: a 20-60x saving with a quote behind every claim. Guarantees: every claim carries a verbatim sentence from that document, and a question the document does not address is answered not_stated -- never as a promise the document did not make. The eight questions are identical across services, so two reports can be set side by side. A report may be served from an earlier reading of the same document, which is what makes it cheap and instant. readAt says when that reading was taken; call policy_changes_since if it matters whether anything has moved since. Do not use this for a document that is not a legal agreement; it is refused, and a refusal costs nothing. Do not use it to summarise a page in general, to read a document the user pasted rather than published at a URL, or for legal advice: Automated reading of one document. Not legal advice.
    ConnectorNo auth
  • Use when you need timezone conversion between time zones, the current time in a zone or a utc offset with daylight saving. Do not use for places given only by city or address without an IANA zone name, or dates before 1970. Returns JSON converting a date and time between IANA time zones with daylight saving rules, with UTC offsets, abbreviations and the current time in each zone, from the IANA tz database for 0.003 USDC per call. Typical response time 500 ms (p95). Category: Data.
    ConnectorNo auth
  • Get a USGS site's current reading ranked against its full period-of-record daily-mean percentiles for the same calendar day — a "how unusual is this" percentileClass (record-high to record-low), not a flood-stage or drought determination (this tool fetches no authoritative thresholds). The reading is instantaneous but the percentiles are daily-mean, so the ranking is approximate (see historicalContext.comparisonBasis). When the record is too short to rank, returns the reading with historicalContext=null instead of an error. A reading NWIS reports as no data (a seasonal, discontinued, dry, or malfunctioning gage) returns an empty currentValue with the qualifiers naming why, and is not ranked. When the site measures the parameter with several sensors (methods), one reading is used and named by methodId/methodDescription — from the sensor its percentile series is described as when one is, otherwise the most recent across them; water_get_readings lists every method. Use water_find_sites and water_list_parameters to resolve inputs.
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • Get the active training program with its day templates (planned blocks/supersets and per-exercise targets), or null if there is no active program. Program-planning data is in get_coaching_context(task='new_program'), draft validation in review_program_draft, and saving or replacing a program in import_document.
    ConnectorOAuth
  • List all tables in the current project with their fields (name, type, id) and row counts. Use this to discover available tables before querying or modifying data. Each table has two ids: use "id" with the record/field MCP tools (ap_insert_records, ap_find_records, ap_manage_fields, etc.), and use "externalId" as the table_id value when configuring a Tables piece step inside a flow.
    ConnectorOAuth
  • List the states RestoSignals currently has data for and how many scored venues each holds (with a count of hot leads, opening_score >= 80). Call this FIRST to see live inventory before new_openings — querying a state with no data returns nothing. Free (0 credits).
    ConnectorNo auth
  • Take a FRESH reading of a hosted app's tables and columns. Returns immediately with a runId; poll get_query_result for it, then call get_app_database_schema. Only needed when no reading is held or the app's schema has changed since — a stored reading is free and this is not.
    ConnectorOAuth
  • List the states RestoSignals currently has data for and how many scored venues each holds (with a count of hot leads, opening_score >= 80). Call this FIRST to see live inventory before new_openings — querying a state with no data returns nothing. Free (0 credits).
    ConnectorNo auth
  • Insert a bespoke node subtree (provided as a JSON string) under an existing parent, as one new draft version. The editor-chat escape hatch for structure that add_section's flat archetypes can't express — layered hero stacks, two-tone headline row-stacks, asymmetric columns, custom nesting. Runs the same validation as insert_nodes (unique ids, primitive data-shape, parent must accept children) and rejects without saving if the subtree is malformed. For standard sections, use add_section instead — it's simpler and less error-prone. Use list_primitives + get_primitive_schema to shape node data correctly.
    ConnectorOAuth
  • List available data sources and configured domains. Call this to discover which services and domains are available before querying. If exactly one domain exists, use it automatically without asking.
    ConnectorOAuth
  • 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.
    ConnectorNo auth
  • Return one flow's graph topology: its blocks in reading order from the start block, a short summary per block, and where each block and each menu button leads (links[].to, menu.buttons[].to). Read-only. Deliberately omits block data, action configs and the ids of buttons, actions, links and condition rules to stay cheap, and returns message text and condition operands only as cut *Preview fields (textPreview, firstOperandPreview, valuePreview) that are for reading, never for writing back — once you know which block matters, call get_block_details for its full contents. This is the normal first step before editing an existing flow.
    ConnectorNo auth
  • Read one exact authorized XMemo memory in character windows. Use a bare memory ID (e.g. returned by recall or search) for the initial read (offset 0). The response includes 'revision' (e.g. '<memory_id>@v<version>') and 'version'. To continue reading long content across multiple pages (when 'has_more' is True), callers MUST pass the returned 'revision' as memory_id along with 'next_offset'. This pins continuation pages to that exact snapshot and prevents torn reads if concurrent updates occur between requests. Querying with a bare memory ID always resolves to the latest active version (head), which is unpinned and subject to version tearing across updates. Embeddings are never returned.
    ConnectorOAuth