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204,280 tools. Last updated 2026-06-14 23:34

"Wikidata" matching MCP tools:

  • Find Wikidata entities by text query to retrieve structured data for items or properties using language-specific searches with configurable result limits.
    MIT
  • Find Wikidata entity IDs by entering search queries to retrieve structured data identifiers for entities like people, places, and concepts.
    MIT
  • Retrieve detailed information about Wikidata entities using entity IDs, with options to specify language, properties, and output format.
    MIT
  • Execute SPARQL queries to retrieve structured data from Wikidata, supporting JSON, CSV, and XML formats with configurable result limits.
    MIT

Matching MCP Servers

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    A server implementation for interacting with Wikidata API using the Model Context Protocol, providing tools for searching identifiers, extracting metadata, and executing SPARQL queries.
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    MIT
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    Provides access to Wikidata for Large Language Models through the Model Context Protocol, offering tools for entity search, detailed retrieval, SPARQL queries, relation exploration, and property-based searches.
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    MIT

Matching MCP Connectors

  • Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers.

  • Verify any business in 34 countries. BORME 40M+ acts, VIES, GLEIF, Wikidata. Free 100/day.

  • Retrieve incoming or outgoing relations for any Wikidata entity, with options to filter by property type and limit results for focused data exploration.
    MIT
  • Retrieve structured knowledge-graph data from Wikidata: labels, descriptions, claims, and sitelinks for any entity identifier, with language support.
    MIT
  • Access a wiki article's complete markdown, references, and related articles via slug. Use to cite verified sources or gather detailed factual content.
    MIT
  • Retrieve structured data for a Wikidata entity by its ID. Returns labels, descriptions, aliases, and property statements in over 300 languages.
    MIT
  • Search over 100 million structured entities in Wikidata. Get entity ID, label, and description for people, companies, places, and concepts.
    MIT
  • Execute SPARQL queries on Wikidata to retrieve structured data in JSON format, enabling data extraction and analysis from the knowledge base.
    MIT
  • Find administrative divisions and geographic details for cities, including county, coordinates, population, and elevation data from global geographic databases.
    MIT
  • 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.]
    Connector
  • 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.]
    Connector