"Wikidata" matching MCP tools:

• lion_enrich_v1

  lion-x402

  VERIFIABLE keyless company/org enrichment - unlike black-box aggregators, every response is cryptographically ATTESTED (Ed25519 over a SHA-256 of the body; verify offline via ?verify_helper=1) so your agent can PROVE the data is untampered, and every field carries an explicit source + confidence. Field-granular: name ONLY the fields you need and pay only for those (0.002 USDC per field on Base, vs flat-bundle incumbents). Each requested field returns {value, confidence 0-1, source, as_of}. Available fields (expanded 2026-06 for better coverage+conversion): firmographics (inception_year, employees, country, industry, parent_org, stock_exchanges, legal_form, website, description, employees_count, employees_as_of, industry_list, stock_exchanges_list, legal_form_detail) from Wikidata CC0; financials (cik, sic_industry, exchanges, fiscal_year_end, state_of_incorporation, revenue_usd, net_income_usd, total_assets_usd, recent_filings) from SEC EDGAR; web-attention (attention_score, momentum, mention_count). Clearer attested output: top-level .attestation (alg/signer/verify_helper_url/note) + .sources_covered on 200 bodies for agent moat parsing. Use a company NAME for firmographic/web fields, a US TICKER for financial fields. Keyless, no API key, no signup; company/org-level public data only, no PII. Pay-for-what-you-use in USDC on Base via x402 (total = number_of_fields x 0.002). DROP-IN for Apollo Org Enrich: pass domain + format=apollo_org for an Apollo-shaped organization{} object at ~$0.018 (vs Apollo org-enrich $0.0495), keyless, no PII. [x402 paid tool: GET /api/x402/enrich-v1-json?src=mcp returns the 402 challenge with the canonical payTo; price 0.002 USDC on Base eip155:8453.]

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• lion_composite_bundle

  LION - keyless x402 data + RPC for agents

  THE MULTI-CHAIN KEYLESS RPC for AI agents - keyless onchain reads on BOTH Base (eip155:8453) AND Ethereum (eip155:1), no API key, in ONE call - PLUS Ed25519-attested company enrichment as a verifiable trust moat. A broader, verifiable alternative to Ethereum-only keyless RPC (e.g. OneSource). Onchain: pass address=0x... (native balance + contract flag) and/or tx=0x... (receipt: status/block/from/to); add chain=base (default) | ethereum | both. Enrichment: pass identifier=<domain|name|ticker> (+ fields or format=apollo_org) for firmographics (Wikidata CC0) + financials (SEC EDGAR), each field source-labeled + confidence-scored, the whole body Ed25519-attested (verify offline via ?verify_helper=1). Granular in-band pricing in ONE invoice: flat-rate 0.001 USDC per onchain read (per chain) + pay-per-field 0.002 USDC per enrich field (band $0.004-$0.05). Keyless x402 on Base (payment always USDC on Base); company/org-level + public onchain facts only, no PII. Prepay once (lion_credits_purchase) then call with Authorization: Bearer lct_... - no new signature. [x402 paid tool: GET /api/x402/composite-bundle-json?src=mcp returns the 402 challenge with the canonical payTo; price 0.003 USDC on Base eip155:8453.]

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• lion_enrich_v1

  LION - keyless x402 data + RPC for agents

  VERIFIABLE keyless company/org enrichment - unlike black-box aggregators, every response is cryptographically ATTESTED (Ed25519 over a SHA-256 of the body; verify offline via ?verify_helper=1) so your agent can PROVE the data is untampered, and every field carries an explicit source + confidence. Field-granular: name ONLY the fields you need and pay only for those (0.002 USDC per field on Base, vs flat-bundle incumbents). Each requested field returns {value, confidence 0-1, source, as_of}. Available fields (expanded 2026-06 for better coverage+conversion): firmographics (inception_year, employees, country, industry, parent_org, stock_exchanges, legal_form, website, description, employees_count, employees_as_of, industry_list, stock_exchanges_list, legal_form_detail) from Wikidata CC0; financials (cik, sic_industry, exchanges, fiscal_year_end, state_of_incorporation, revenue_usd, net_income_usd, total_assets_usd, recent_filings) from SEC EDGAR; web-attention (attention_score, momentum, mention_count). Clearer attested output: top-level .attestation (alg/signer/verify_helper_url/note) + .sources_covered on 200 bodies for agent moat parsing. Use a company NAME for firmographic/web fields, a US TICKER for financial fields. Keyless, no API key, no signup; company/org-level public data only, no PII. Pay-for-what-you-use in USDC on Base via x402 (total = number_of_fields x 0.002). DROP-IN for Apollo Org Enrich: pass domain + format=apollo_org for an Apollo-shaped organization{} object at ~$0.018 (vs Apollo org-enrich $0.0495), keyless, no PII. [x402 paid tool: GET /api/x402/enrich-v1-json?src=mcp returns the 402 challenge with the canonical payTo; price 0.002 USDC on Base eip155:8453.]

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• lion_wikidata_firmographics

  LION - keyless x402 data + RPC for agents

  Keyless GLOBAL firmographic enrichment for any company/org - no API key, no signup, payment is the only gate. Pass a name (?entity=Coinbase) or Wikidata QID (?qid=Q5463952) and get ONE structured JSON: entity (qid, name, description) + firmographics (inception_year, employees {count, as_of}, country, industry[], parent_org, stock_exchanges[], legal_form, website). Off-chain company enrichment from Wikidata public CC0 data (wikidata.org) - keyless, global, any country (complements US-only SEC + on-chain). Company/org-level facts only; founder/CEO/board (person) properties intentionally NOT returned - no people, no PII. $0.005 USDC on Base via x402. [x402 paid tool: GET /api/x402/wikidata-firmographics-json?src=mcp returns the 402 challenge with the canonical payTo; price 0.005 USDC on Base eip155:8453.]

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• sports_pulse

  dynamic-feed

  Global ATTENTION + official schedule for a sporting event, team or competition — e.g. the 2026 FIFA World Cup. Returns the event's hosts/start-end dates/sport plus a worldwide attention signal: daily Wikipedia article views by language edition, with 7-day momentum, peak and a per-language breakdown. Use for "how much buzz is event X getting / where in the world / is interest rising". This is the NEUTRAL attention layer (Wikimedia Pageviews + Wikidata, CC0) — NOT live scores, fixtures or odds. Args: topic: event/team/competition, resolved via Wikidata (default '2026 FIFA World Cup'). days: attention window, 7-90 (default 30). lang: primary Wikipedia language edition (en, es, pt, fr, de, ...).

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• lion_wikidata_firmographics

  lion-x402

  Keyless GLOBAL firmographic enrichment for any company/org - no API key, no signup, payment is the only gate. Pass a name (?entity=Coinbase) or Wikidata QID (?qid=Q5463952) and get ONE structured JSON: entity (qid, name, description) + firmographics (inception_year, employees {count, as_of}, country, industry[], parent_org, stock_exchanges[], legal_form, website). Off-chain company enrichment from Wikidata public CC0 data (wikidata.org) - keyless, global, any country (complements US-only SEC + on-chain). Company/org-level facts only; founder/CEO/board (person) properties intentionally NOT returned - no people, no PII. $0.005 USDC on Base via x402. [x402 paid tool: GET /api/x402/wikidata-firmographics-json?src=mcp returns the 402 challenge with the canonical payTo; price 0.005 USDC on Base eip155:8453.]

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• originators

  Quotewise

  Lookup, search, or browse originators. Handles people, proverbs, anonymous sources, and institutions. Use name= for exact match, search= for fuzzy, neither for browsing. When to use: User asks about a person/author, wants to find who said something, or needs to browse by category (poets, philosophers, etc). Behaviors: - `name` provided → resolve and return single originator details - `search` provided → fuzzy search, return ranked list (optionally filtered by category tags) - Neither → browse by filters (popular, language, min_quotes, category tags, etc.) Category tags filter by originator type (e.g., ["Poets", "Politicians", "Catholic Bishops"]) - works with all modes. Gender filter accepts natural language (e.g., "female", "women", "queer", "trans") - resolved to Wikidata Q-IDs internally. Response format: - Concise (default): slug, full_name, sort_name, quote_count, descriptions_i18n, web_url - Detailed: + biography (500 char excerpt), confidence_tier, similarity_score Response includes ai_hints with suggested next actions and quality signals for agent workflows. Date filters (`born_on`, `died_on`, `born_year_gte`, `born_year_lte`, `died_year_gte`, `died_year_lte`) combine with every other filter via AND. Negative year bounds represent BCE; year 0 is rejected. Examples: - `originators(name="Einstein")` - exact lookup - `originators(search="Shake")` - fuzzy search for "Shakespeare" - `originators(tags=["Poets"], gender="female")` - browse female poets - `originators(sort="popular", limit=10)` - top 10 by quote count - `originators(born_on="04-20")` - originators born April 20 (any year) - `originators(born_year_gte=-500, born_year_lte=-300)` - originators born between 500 BCE and 300 BCE inclusive

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• nausika_get_place

  Nausika

  Fetch full detail for a single place given its 'id'. Accepts either a full UUID or the 8-char [xxxxxxxx] short-id shown by nausika_search_places. Returns canonical attributes (name/coords/category/type), localized i18n names+descriptions, wiki image URLs, ratings aggregates, plus extras only this tool provides: the raw OpenStreetMap tags of the primary OSM feature, and direct links to OSM, Wikidata, and Wikipedia. Use this after nausika_search_places returns a result you want to drill into. For proximity / text search, use nausika_search_places.

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• wikidata_resolve_external_id

  wikidata-mcp-server

  Look up a Wikidata entity by an external identifier such as a DOI, PubMed ID, ORCID iD, or OpenAlex ID. Returns match=<entity> on success, match=null when not found, and match=null with multipleMatches populated when a Wikidata data integrity issue causes more than one entity to claim the same external ID. Common cross-server join use cases: CrossRef DOI → Wikidata paper QID (P356), PubMed PMID → Wikidata paper QID (P698), ORCID → author QID (P496), OpenAlex ID → entity QID (P10283). Known value normalization is applied automatically: DOIs are uppercased, PMID prefixes stripped, ORCID hyphens normalized.

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• wikidata_search_entities

  wikidata-mcp-server

  Search Wikidata for items or properties by text query. Returns QIDs or PIDs with labels, descriptions, and match metadata indicating whether the hit was on a label or alias. Use type="item" for real-world concepts (people, places, works) and type="property" to find predicate P-IDs. The API returns no total count — pagination is offset-based with no result ceiling indicator.

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• wikidata_get_sitelinks

  wikidata-mcp-server

  Fetch Wikipedia and Wikimedia project article URLs for a Wikidata item. A sitelink maps a site code (e.g., "enwiki") to a Wikipedia article title and URL. Major items can have 300+ sitelinks across languages. Use sites to filter to specific language editions, or wikis_only to return only Wikipedia links. Only Q-IDs (items) have sitelinks — properties (P-IDs) do not.

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• openlibrary_get_author

  openlibrary-mcp-server

  Fetch author detail by Open Library Author ID (OL…A). Returns bio, birth/death dates, photo IDs, and linked identifiers from Wikidata, VIAF, ISNI, Goodreads, and LibraryThing. Use openlibrary_search_authors to find an author ID first.

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• wikidata_get_statements

  wikidata-mcp-server

  Fetch property claims for a Wikidata entity with qualifier and reference detail. Value QIDs are resolved to human-readable labels by default. Use the properties parameter to fetch only specific P-IDs — omitting it returns all statements, which can be large. Designed for fact verification: "what does Wikidata say about this entity's {property}?". Preferred-rank statements are the most current values.

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• wikidata_get_entity

  wikidata-mcp-server

  Fetch a Wikidata entity (item or property) by QID or PID. Use the fields parameter to trim what is returned to the caller — major items can be large. Omit fields to get all data. Q-IDs (e.g. Q76) fetch items; P-IDs (e.g. P31) fetch properties from the correct endpoint automatically. Use wikidata_get_statements for deep claim traversal with label resolution.

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• wikidata_get_labels

  wikidata-mcp-server

  Resolve one or more QIDs or PIDs to their human-readable labels and descriptions. Lightweight — returns no claim data. Supports up to 50 IDs per call (batched automatically). Designed for the common agent pattern: receive QIDs from a SPARQL query, then humanize them.

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• get_poi_details

  TravelType

  Get one POI by UUID or slug, with full enrichment: coordinates, approved tags, categories, Wikidata/OSM/Google identifiers, and hero image.

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• people

  Comicvine

  Comic Vine list of comic-book industry creators (writers, artists, inkers, letterers, colorists). NOT a generic person search — use TMDb for actors, Wikipedia/Wikidata for general bios.

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• wikidata_facts

  dynamic-feed

  Structured factual statements about a named entity from Wikidata — the collaboratively-curated knowledge base behind Wikipedia. Resolves `entity` to its Wikidata item, then returns the headline facts: description, instance/class, key properties (e.g. for a country: capital, population, area, head of government, currency, ISO codes; for a person: birth/death, occupation, citizenship), plus cross-reference identifiers and the Wikidata QID. `entity` = a name to look up ("Australia", "Albert Einstein", "Sydney Opera House", "Bitcoin"); default "Australia". Reference/knowledge lookup, not a live-telemetry feed — values are as-current-as Wikidata's community edits. Source: Wikidata (wikidata.org), MediaWiki Action API — CC0 1.0 (public domain): commercial use + redistribution permitted, no key, no attribution required.

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• company_enriched

  nordic-data

  Enriched company data: basic registry data + DAWA-validated address with lat/lng + industry statistics (DST for DK, SSB for NO, etc.) + Wikidata enrichment (website, employees, CEO, ticker, logo, Wikipedia URL). One call, multiple sources. Supports 15 countries (DK, NO, SE, FI, IE, UK, FR, DE, CZ, PL, LV, EE, NL, BE, LU). Tier note: NL and DE use paid upstream registries — free-tier API keys receive HTTP 402 'upgrade_required'; do NOT retry on 402. On paid tiers, NL costs 5x quota and DE costs 3x.

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• lion_composite_bundle

  lion-x402

  THE MULTI-CHAIN KEYLESS RPC for AI agents - keyless onchain reads on BOTH Base (eip155:8453) AND Ethereum (eip155:1), no API key, in ONE call - PLUS Ed25519-attested company enrichment as a verifiable trust moat. A broader, verifiable alternative to Ethereum-only keyless RPC (e.g. OneSource). Onchain: pass address=0x... (native balance + contract flag) and/or tx=0x... (receipt: status/block/from/to); add chain=base (default) | ethereum | both. Enrichment: pass identifier=<domain|name|ticker> (+ fields or format=apollo_org) for firmographics (Wikidata CC0) + financials (SEC EDGAR), each field source-labeled + confidence-scored, the whole body Ed25519-attested (verify offline via ?verify_helper=1). Granular in-band pricing in ONE invoice: flat-rate 0.001 USDC per onchain read (per chain) + pay-per-field 0.002 USDC per enrich field (band $0.004-$0.05). Keyless x402 on Base (payment always USDC on Base); company/org-level + public onchain facts only, no PII. Prepay once (lion_credits_purchase) then call with Authorization: Bearer lct_... - no new signature. [x402 paid tool: GET /api/x402/composite-bundle-json?src=mcp returns the 402 challenge with the canonical payTo; price 0.003 USDC on Base eip155:8453.]

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