"How to query data from ServiceNow" matching MCP tools:

• methodology_faqA

  RefproA

  Answer questions about how Refpro works. Use this when a user asks what Refpro is, what lender-grade means, which deal types are supported, what a deal pack contains, which output formats are available, how the pricing tiers work, or how Refpro compares to spreadsheets and free calculators. Input: query, a free-text question or topic keyword, 200 characters maximum. Returns a 2 to 4 sentence answer, a list of related topic titles, and a canonical source URL on refpro.ai. Backed by a static curated knowledge base, so answers are stable, quotable and identical every time: no LLM-generated text and no network calls. Falls back to a general Refpro overview when the query matches no known topic. Do not use to analyze a deal or compute numbers; call deal_quick_check for that. Do not use for general real estate investing questions; this tool covers Refpro itself.

  ConnectorNo auth

• get_api_keyA

  TunnelMind Data APIB

  Returns the tier, label, masked owner email, creation date, last-used timestamp, today's request count, and daily request limit for the API key used in this request. Useful for agents that need to monitor their own quota consumption. Use this tool when: - You want to check how many requests your key has used today. - You need to know your current tier or daily limit. - You want to confirm that your API key is active. Do NOT use this tool when: - You want to manage multiple keys — this endpoint only reflects the calling key. - You need tracker data — use the tracker endpoints instead. Inputs: - No body or query parameters. Auth is from the `Authorization: Bearer` header. Returns: - `tier`: free, supporter, pro, or enterprise. - `requests_today`: integer count from KV (best-effort; resets at UTC midnight). - `limit_per_day`: null for enterprise (unlimited). - `last_used`: ISO 8601 timestamp, may be null if never used. Cost: - Free. Does not count against the daily request limit. Latency: - Typical: <150ms, p99: <400ms.

  ConnectorNo auth

• search_combinedA

  stubB

  The unified search over business data — combine free text and/or an amount range in one call. Set 'kind' to: all, expenses, income, transactions, clients, suppliers, products, or invoices (use 'all' to search the whole business). Set 'query' for text search (case-insensitive substring match across names, descriptions, notes, references, supplier/client names, categories) and/or 'min'/'max' for an amount range on the kind's primary amount field — both are optional, so omit the amount range for a pure text search (e.g. over clients or suppliers) or omit 'query' for a pure amount search. Optionally filter by date range with 'from' and 'to' in YYYY-MM-DD format. Set 'sort' to 'amount' (default — descending by amount) or 'date' (descending by date; best for clients/suppliers, which have no amount, or when recency matters more than size). Returns ALL matches, paginated — use limit/cursor to page through the full result set; narrow query/range/date if there are more than you need.

  ConnectorOAuth

• skillsA

  loootA

  looot: free how-to guides for doing a task with looot the right way, and for getting unstuck. Call it when unsure how to do a task. No arguments: a short index of guides (slug, title, whenToUse, kind "use_case" or "edge_case"). `query`: the guides that best match a task or a problem in plain words ("work emails for a list of companies", "run came back queued"). `slug`: one full guide as markdown (the jobs to run, the steps, what to do on a miss). Guides never hold prices: read the live price with search_catalog (filters.capability for a job) before a paid call.

  ConnectorAPI key

• graphqlA

  StratzB

  Send an arbitrary GraphQL query (with optional variables) directly to the STRATZ API at api.stratz.com/graphql. Use when no named tool covers the data you need. Field names are camelCase and must match the STRATZ schema exactly (e.g. numLastHits, goldPerMinute, constants { gameModes }); a query naming an unknown field fails with "Cannot query field", so introspect the type (`{ __type(name: "MatchPlayerType") { fields { name } } }`) before guessing. Requires a STRATZ Bearer token.

  ConnectorNo auth

• find_site_sectionA

  BuzzbergA

  Find where a feature lives in the Buzzberg interface. Read-only, no data is changed. Use this for every "where do I find X", "how do I open X", "which section has X" question instead of guessing. It searches only the verified navigation catalog of user-facing surfaces; internal, admin and API routes are deliberately not covered. If nothing matches, say the location is not confirmed rather than inventing one. Args: query: What the user is looking for, in their own words (any language). locale: UI locale for section names, e.g. "en", "ru", "ko". limit: Max matches to return (default 5).

  ConnectorOAuth

• get_resource_usageA

  DockholdA

  Show your account's compute, database-RAM, and storage pools: how much you've bought, how much is used, and how much is free, plus every app's current size. Call this before any resize tool (the allowed sizes come from its steps fields), and to explain to the user why an app ran out of memory or a deploy was refused for capacity.

  ConnectorNo auth

• adcritter_get_platform_overviewA

  AdCritter for BuildersA

  Start here. Returns the AdCritter platform overview - what AdCritter is, the entity hierarchy (organization > advertiser > campaign > ad), the happy path for getting ads running, and how to navigate the other MCP tools. Applications built from this guidance are REST API clients that call /v1/ endpoints, not MCP tool callers. Before writing code, call adcritter_get_api_reference(entity, action) for each entity and action you plan to use - tool descriptions and parameter names describe conceptual behavior only, and do not match actual API routes, field names, query parameters, or response shapes.

  ConnectorNo auth

• list_domainsA

  TunnelMind Data APIB

  Returns a paginated list of domains from the tracker database. Results are ordered alphabetically by domain name and support cursor-based pagination for full traversal. Filtering by category and minimum score allows targeted data extraction. Use this tool when: - You want to enumerate all known ad-tech or analytics domains above a risk threshold. - You need a dataset of tracker domains for offline analysis. - You are paginating through a category to build a block list. Do NOT use this tool when: - You need data for a specific domain — use `get_domain` instead. - You are searching by keyword — use `search` instead. - You want domains belonging to a specific company — use `get_entity` instead. Inputs: - `category` (query, optional): Filter by surveillance category. One of: `ad_tech`, `analytics`, `social`, `fingerprinting`, `content`, `cdn`, `other`. - `min_score` (query, optional): Integer 0-100. Exclude domains scoring below this value. - `limit` (query, optional): Number of results per page. Max 100 (paid), 20 (free). Default 50. - `cursor` (query, optional): Pagination cursor from the previous response's `next_cursor` field. Returns: - Array of domain list items (domain, category, score, prevalence, entity summary). - `meta.has_more`: true if more pages exist. - `meta.next_cursor`: pass as `cursor` to get the next page. - `meta.count`: number of results in this page. Cost: - Free tier: up to 20 results/page. Anonymous (no key): 10/min, 100/day. Free key: 50/day. Pro/enterprise: up to 100 results/page, included in plan. Latency: - Typical: <200ms, p99: <500ms.

  ConnectorNo auth

• list_entitiesA

  TunnelMind Data APIB

  Returns a paginated list of corporate entities in the TunnelMind surveillance database. Includes data categories, estimated data value, and industry classification. Useful for enumerating the surveillance ecosystem by sector. Use this tool when: - You want to enumerate all entities in a specific industry (e.g., all ad-tech companies). - You need a dataset of surveillance entities for analysis or reporting. - You are building a comprehensive surveillance landscape map. Do NOT use this tool when: - You need the full profile of a specific entity — use `get_entity` instead. - You are searching by entity name — use `search` instead. - You need domain-level data — use `list_domains` instead. Inputs: - `industry` (query, optional): Filter by industry classification. Examples: `ad_tech`, `analytics`, `data_broker`, `social`, `crm`. - `limit` (query, optional): Results per page. Max 100 (paid), 20 (free). Default 50. - `cursor` (query, optional): Pagination cursor from previous response's `next_cursor`. Returns: - Array of entity list items (slug, name, parent_company, industry, data_categories, data_cost_usd). - `meta.has_more` and `meta.next_cursor` for pagination. Cost: - Free tier: up to 20 results/page. Anonymous (no key): 10/min, 100/day. Free key: 50/day. Pro/enterprise: up to 100 results/page, included in plan. Latency: - Typical: <150ms, p99: <400ms.

  ConnectorNo auth

• discover_agentsA

  NovaRailA

  Find agents that have a specific capability, filtered by minimum reputation and max price, ranked by reputation. A page holds up to 50 agents. total is how many match. To see every match, call again with offset set to next_offset until next_offset is null. To see every listed agent, use search_agents with an empty query. No auth.

  ConnectorNo auth

• get_gameA

  SorenA

  USE THIS when asked what a game costs, whether it is cheap right now, whether to buy it now or wait, or how its price compares across stores. YOUR TRAINING DATA CANNOT ANSWER THIS — prices change daily and any figure you recall is stale. Do not answer from memory. Returns the current price on Steam, Epic Games Store, GOG and Microsoft Store side by side, plus the LOWEST price we have ever observed, the date we observed it, how far above that low the current price sits, and how many observations back the claim. History runs from 2012. Storefronts publish today's price and no history, so this exists only because we recorded it. Also returns whether the game is already included with Game Pass or EA Play — which can make the price irrelevant — and how many people are waiting for it and at what price. Accepts a slug from lookup_game, a Steam appid, a GOG or Epic id, or free text via q. Regions: US, GB, DE, BR. PAID (~$0.01) PER QUERY. Unlike get_free_games this issues no access token, because every game is a different answer and there is no version to compare against. Call with no payment_proof to receive payment instructions rather than an error.

  ConnectorNo auth

• query_historyA

  ThinAir DataA

  Read-only audit log of your own recent query executions on this tenant — SQL text (truncated to 200 chars), execution time, row count, source tool, and error status. History is tenant-wide across every connection: `connection` only selects which name/dialect is echoed in meta, not which entries return. Looks backward only: use suggest_queries for NEW query ideas, or saved_queries to store and re-run a query by name. Backed by a 100-entry ring buffer per tenant, 7-day retention; `limit` (default 20, max 100) trims how many return, not how far back history goes. Counts against daily quota. Returns a table of {sql, execution_ms, rows, tool, error, time}. [BUILD tier]

  ConnectorOAuth

• start_traceA

  tracetify-mcpA

  Run this when search_reports finds nothing (or the user wants fresh data) for "how did X grow?". Rebuilds the growth story from 12 public sources in 60-90s. Costs credits from the Tracetify balance; returns an existing cached report free instead when one is fresh. Poll with get_trace.

  ConnectorNo auth

• oecd_dataframe_queryA

  oecd-mcp-serverA

  Run a read-only SQL SELECT against OECD observation tables staged on a DataCanvas by oecd_query_dataset. Call oecd_dataframe_describe first to discover exact table and column names, then use this tool for aggregation, filtering, GROUP BY, JOIN, and window functions. Returns up to `limit` rows (default 100, at most 1,000 per call) and at most 1 MiB of row data; truncated: true marks a result with more rows than came back, and its notice says how to reach the rest. A query still running after 30 seconds is stopped. Unavailable when the server runs with DataCanvas disabled.

  ConnectorNo auth

• start_auto_clusteringA

  MencoroA

  Start a background job that proposes how to group up to 500 tracked queries into clusters. mode "fill_gaps" places only queries that have no cluster yet; "add_on_top" adds clusters without touching existing memberships; "full_regroup" proposes a fresh grouping of every query. restrictToExistingClusters only uses the project's current clusters. Nothing changes until apply_auto_clustering: poll get_job, show the proposal to the user, then apply it. Requires an active subscription.

  ConnectorOAuth

• console_get_search_analyticsA

  Manifold MCPA

  Clicks, impressions, CTR and average position from the user's own Search Console or Bing data, grouped by query, page, country, device or date. Use when: "which queries bring traffic to my site", "how did page X do last month", "impressions by country", finding queries that rank on page two, a rank check on the user's own site. Not for: a site the user does not own, use seo_get_ranked_keywords. Search volume or difficulty, use seo_get_keyword_metrics. Why a page is not indexed, use console_inspect_url. Returns: List, most clicks first, ties broken by impressions descending. rows[]: query, page, country (ISO alpha-3), device, date (the dimensions asked for; null otherwise), clicks, impressions, ctr (0 to 1), position (average, 1-based). Google data lags about two days and keeps 16 months; Bing query and page rows are the last weeks with no date range, its date rows are daily totals. Totals (sum of clicks, impressions) differ by grouping due to Google's aggregation; this is normal Google behaviour. Cost: 0 credits. Cached 6 hours. Example: {"property": "sc-domain:example.com", "dimensions": ["query", "page"], "start_date": "2026-08-01", "end_date": "2026-08-31"}

  ConnectorAPI key

• queryA

  Kaption WhatsAppA

  Query WhatsApp data: conversations, contacts, messages, transcriptions, labels, and communities. Supports listing, searching, filtering, and looking up by ID. Several WhatsApp accounts may be connected (e.g. personal + business), each with its own conversations, contacts and messages. entity="session" lists the connected accounts and their session IDs; target_session routes a query to one of them. Reading messages: Passing a conversation id (e.g. "5491157390064@c.us") returns the conversation with its messages; limit sets how many. entity="messages" is a global text search across conversations. Audio transcriptions: entity="transcriptions" (with an optional query) returns voice-note transcriptions; messages read by conversation id include the transcription text of audio messages. Examples: List sessions: { entity: "session" } List conversations: {} Target specific account: { entity: "conversations", target_session: "sess_abc123" } Read messages: { id: "5491157390064@c.us" } Read last 100 msgs: { id: "5491157390064@c.us", limit: 100 } Search globally: { query: "meeting" } Search in chat: { id: "5491157390064@c.us", query: "meeting" } Unread conversations: { unread: true } Search contacts: { query: "Alice", entity: "contacts" } List labels: { entity: "labels" } Filter by label: { label: "Important", entity: "conversations" } List communities: { entity: "communities" } Filter by community: { community: "My Community", entity: "conversations" } Find which groups a contact is in: { id: "5491157390064@c.us", entity: "contacts", include_participants: true } List members of a group: { entity: "contacts", group: "120363421729019499@g.us" }

  ConnectorOAuth

• search_entitiesA

  NEXUS AGIA

  Find entities by name or description, or filter them by type and attributes. With ``query``: returns ranked candidates, each with ``method`` (how it was found), ``score`` (0-1), ``legacy``, ``relaciones`` (counts by state) and ``contexto`` (up to 4 relations, current first, to tell similarly named entities apart). Methods, most to least reliable: exacta, alias, parcial (whole word or same words), semantica (name similarity) and memoria (entity mentioned in the closest episodes). semantica and memoria results appear only for multi-word queries and are candidates, not confirmed matches. A single word with no lexical match returns []. If nothing is found, the item may still exist in memory without being an entity (see retrieve_memories). Without ``query``: returns all entities matching entity_type and/or the given attribute values, with no result limit. With no query and no filters it returns every entity. Args: query: A name, part of a name, or a short description. entity_type: Filter by type (only without query). 'unclassified' means entities whose type is not known. attributes: Exact attribute key-value pairs to match (only without query). limit: Maximum results for a query search (1-50). via_memoria: With query, set False to skip episode-based matches and search names only.

  ConnectorAPI key

• count_saved_leadsA

  Lyre LeadsA

  FREE and exact. Counts leads THIS ACCOUNT has already searched and saved, matching any combination of filters, with a breakdown of how many are enriched, have an email, have a contact email, or have been relevance-checked. Use it to size a job over data the account already owns before spending: "how many of my saved roofers have no CRM and a verified email". CRITICAL: this is NOT an inventory of what Lyre Leads can find, and a small result here means the account has not searched much yet, nothing more. Never report this number to a user as the amount of data available, and never use it to answer "how many X do you have" — call estimate_list for that.

  ConnectorNo auth

• la_queryA

  Data LaA

  Run a raw SoQL query against any Los Angeles open-data resource (data.lacity.org) by its Socrata id (8-char like "2nrs-mtv8"). Full SoQL: where/select/group/order/limit/offset. Use la_datasets to find a resource id, or la_recent for the common ones.

  ConnectorNo auth