"Precise search" matching MCP tools:

• content_discoveryA

  gapup-mcpC

  Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.

  ConnectorNo auth

• content_discoveryA

  mcp-knowledgeC

  Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.

  ConnectorNo auth

• content_discoveryA

  gapup-mcpC

  Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.

  ConnectorNo auth

• suggestA

  APITube NewsA

  Resolve a name or prefix to APITube taxonomy IDs so you can use them in the `search_news` tool's filters. The `search_news` tool's most precise filters require IDs you cannot guess: - entity.id — numeric (persons, organizations, locations, brands, events...) - category.id — IPTC slug, e.g. "medtop:04000000" - topic.id — slug - industry.id — numeric Use this tool FIRST to look those IDs up, then pass them into `search_news`. USAGE: - type: which taxonomy to autocomplete — one of "entities", "categories", "topics", "industries". - prefix: the name (or its beginning) to search, e.g. "Tesla", "Elon", "spo". Returns an array of matches; take the `id` of the best match and put it into `search_news`: suggest({ type: "entities", prefix: "Tesla" }) → [{ id: 12345, name: "Tesla, Inc.", ... }] search_news({ entity: { id: "12345" } })

  ConnectorNo auth

• search_newsA

  gol24A

  Keyword search in gol24.uz news titles and summaries, newest first. Use it for topics, events or names that club_news and person_news cannot resolve ("Ballon d'Or", "Champions League draw", "national team"). For one specific club or person prefer club_news / person_news - they are more precise. News text is in Uzbek (Latin script), so search Uzbek spellings: "Oltin to'p", "Chempionlar ligasi", "terma jamoa", "Mbappe". Matching is a case-insensitive substring match on title and summary over the last `days` days (default 30, max 90). Returns up to `limit` items (default 10, max 20) with the same fields as latest_news. An empty list means no match - try a shorter or Uzbek-spelled keyword. Rate limit: 60 requests per minute.

  ConnectorNo auth

• validate_ibanA

  eu-verifyA

  Deterministic IBAN check before a SEPA/international transfer: format regex, per-country length (public SWIFT registry, ~85 countries) and ISO 7064 mod-97 checksum. Query: ?iban=FR1420041010050500013M02606 (spaces/dashes tolerated). Returns valid, country, bban, and a precise failure reason. Pure offline computation, 1y cache. Price: $0.001 USDC per call (x402).

  ConnectorNo auth

• get_facetsA

  Besot: Musician Fashion ResaleA

  Return the values that actually exist in the catalogue for filtering a search: sizes, conditions, source platforms, artists, designers, and the price range. Use this before search_pieces when you want to build a precise query from real values rather than guesses. For example, to check which sizes of a garment are genuinely listed right now, or which platforms currently carry a given collection.

  ConnectorNo auth

• nonprofit_search_nonprofits_by_nameA

  DataNexus MCPA

  Search US nonprofits by name with optional state filter. Read-only. No side effects. Idempotent. US only. Returns up to 25 matches. name: Full or partial organisation name. Required. state: Two-letter US state code e.g. CA, NY. Optional, defaults to all states. Returns EIN, name, state, revenue, and NTEE code for each match. Use this when you have a name but not the EIN. Use nonprofit_fetch_nonprofit_by_ein instead when you have the exact EIN for a precise single lookup. Verified source: IRS EO BMF. 7-day cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="nonprofit_search_nonprofits_by_name", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

  ConnectorNo auth

• validate_ibanA

  eu-verifyA

  Deterministic IBAN check before a SEPA/international transfer: format regex, per-country length (public SWIFT registry, ~85 countries) and ISO 7064 mod-97 checksum. Query: ?iban=FR1420041010050500013M02606 (spaces/dashes tolerated). Returns valid, country, bban, and a precise failure reason. Pure offline computation, 1y cache. Price: $0.001 USDC per call (x402).

  ConnectorNo auth

• SearchDocumentA

  EquiblesA

  Search one SEC filing or earnings-call transcript by document ID. semantic mode uses hybrid relevance and returns excerpts in document order with approximate line numbers. exact mode performs a literal case-insensitive substring match and returns precise matching lines. Get document IDs from SearchDocuments or ListFilings; use ReadDocumentLines for surrounding text.

  ConnectorNo auth

• query_contextA

  mcp-klever-vmA

  Search the Klever VM knowledge base for smart contract development context. Returns structured JSON with matching entries, scores, and pagination. Use this for precise filtering by type or tags; use search_documentation for human-readable "how do I..." answers.

  ConnectorNo auth

• quick_inventory_diagnosisA

  synplex-mcpA

  Low-friction inventory health estimate for Shopify merchants. Use this when the merchant doesn't have precise inventory figures — requires only monthly revenue, SKU count, and industry segment. Inventory value and dead stock are estimated from industry benchmarks; all assumptions are returned transparently. Returns a 0–100 health score, risk flags, plain-language diagnosis, and prioritised recommended actions. Ideal for AI-assisted lead qualification and first-contact diagnostics. For a precise score using actual inventory figures, use inventory_health_score instead.

  ConnectorNo auth

• motion_validateA

  MotionSpec — web animation accessibility MCPA

  Checks a MotionSpec against the schema, the primitive allow-list, parameter bounds and injection rules. Fail-closed: returns ok=false with precise errors. Returns {ok, errors, warnings, deprecations, catalogVersion}. IMPORTANT: warnings[] carries the WCAG 2.2.2 / reduced-motion findings and can be non-empty while ok=true — a spec that compiles is not automatically accessible. Use to pre-check a spec before compiling.

  ConnectorNo auth

• searchA

  trip2gB

  Search notes by query. Returns snippets with a heading breadcrumb (title > section > subsection) that locates the approximate section, plus a precise toc_path per match. Each result carries note_path (string) and note_id (integer); each match carries match_id (string, form "p<pid>:c<chunk>"). Drill-down workflow: 1) search to find the approximate section via the breadcrumb; 2) call note_html(path=<result.note_path>, toc_path=[...]) to read the matched section, or expand(path=<result.note_path>, toc_path=[...]) to navigate the note's structure level by level; 3) note_html(path=<result.note_path>, match_id=<match.match_id>) for a focused chunk window. Each match also carries section_url — a link straight to that heading, for citing the section rather than the whole note.

  ConnectorNo auth

• check_service_areaA

  Andrii Co. Notary & Apostille AssistantA

  Check whether an address sits inside our Washington coverage and resolves precisely enough to book. Use when the customer wants an area answer without searching slots — search_availability already validates the area itself. Accepts: `address` (e.g. a Seattle street or ZIP) and optional `service` — notary or apostille rules differ. Returns withinServiceArea, distanceMiles, precise; if the address cannot be resolved the message says not found.

  ConnectorNo auth

• semantic_searchA

  TeppekA

  Semantic (meaning-based) search over Teppek's live listings, backed by a multilingual embedding index. Use it when the user describes what they want in natural language rather than exact keywords — e.g. "outdoor jobs that don't need a degree", "affordable family cars that are good in snow", "a cosy studio close to the university". Returns the closest-matching ACTIVE listings ranked by semantic similarity (each item carries a `score`). Complements search_listings: prefer search_listings for precise keyword/role/country/category/price filtering and exact counts; prefer semantic_search when meaning, synonyms, or fuzzy intent matter more than literal terms. Optional `vertical` narrows to jobs/real_estate/vehicle/service.

  ConnectorNo auth

• memory_getA

  AuraA

  Fetch one stored value by its exact key. When to use: Call when you know the key you wrote earlier. Cheaper and more precise than memory.search. Price: US$0.000500 per call.

  ConnectorNo auth

• search_suggestA

  pdata Prediction MarketsA

  Use when an agent has a name or phrase and needs the `(source, id)` of the matching event or market before calling another tool. Resolves free text against events AND markets in one call, best-first, and reports `total_events` / `total_markets` so the agent can tell a precise hit from an ambiguous one. Every row carries `event_path`, the internal link to use for follow-up lookups. Prefer this over running `list_events?search=` and `list_markets?search=` separately when the goal is identification rather than a filtered listing. Note: `headline` carries literal `<b>` highlight markup — quote `title` instead, or strip the tags.

  ConnectorNo auth

• google-search-console.list_sitesA

  Vee3A

  List Search Console properties for this account. Returns Vee3-managed domains plus sites added with google-search-console.add_site. Call this to discover sites, then omit site_url on later calls to use the default property, or pass an exact site_url from this response. If no properties appear, add a site with google-search-console.add_site or register a domain with domains.register. Cost = 5 tokens.

  ConnectorNo auth

• get_cycleA

  EndoflifeA

  Get a single release cycle's support details for a product — release date, EOL, active-support end, latest patch, LTS, and any extended-support window. Use for a precise version question like "when does Python 3.9 lose support?". `product` is a slug from list_products; `cycle` is a version like "3.12", "20.04", "18". Keyless.

  ConnectorNo auth

• list_locationsA

  Cenogram - Polish Real Estate DataA

  Browse locations in two modes: 1. TERYT hierarchy (parent param): Navigate voivodeship → county → municipality → precinct. Returns TERYT codes for use in search_transactions(teryt=...). - No parent: 16 voivodeships (2-digit codes) - 2-digit: counties (4-digit), 4-digit: municipalities (6-digit), 6-digit: precincts 2. Name search (search param): Look up a place by name across all levels (voivodeship, county, municipality, precinct). Each match comes with its TERYT code, its parent unit, and the exact follow-up calls to make — use teryt= for precise administrative filtering. Rows also flagged as RCN districts additionally accept the name in search_transactions(location=)/compare_locations. RCN district names that have no TERYT code are listed separately. If both provided, parent takes precedence. Returns administrative units — never streets. A street is not a level of this hierarchy and has no code of its own; to search for parcels on one, pass the name straight to list_parcels_in_area as street=. Use 'location' for quick city searches, 'teryt' for precise administrative filtering (avoids name ambiguity, e.g. 'Wałcz' is both a county and a municipality).

  ConnectorOAuth