Wikidata is a free and open knowledge base that can be read and edited by both humans and machines. It acts as central storage for the structured data of its Wikimedia sister projects including Wikipedia, Wikivoyage, Wiktionary, Wikisource, and others.
Integrates with Wikidata to find alignments and cross-references for concepts in schema.gov.it, enabling discovery of international correspondences via owl:sameAs and skos:exactMatch links.
Enables AI agents to semantically explore and analyze the Italian government data catalog (schema.gov.it), including ontologies, vocabularies, datasets, and data quality checks.
47
9
MIT
Why this server?
Provides entity verification and data enrichment for ForceDream tools like extract_data, score_lead, and generate_sentiment.
Enables discovery and invocation of AI agents from the ForceDream platform. Provides cryptographic verification of agent outputs for trustless task integrity.
6
266
1
MIT
Why this server?
Enables read-only SPARQL queries against Wikidata for structured entity data.
MCP server providing free, IP-direct tools for web search, crawling, anti-detect browsing, and structured data from Wikipedia, Wikidata, GitHub, and YouTube.
2
6
1
MIT
Why this server?
Integrates Wikidata knowledge graph data to enhance entity profiles with verified information, contributing to comprehensive business intelligence dossiers.
Structured business intelligence for AI agents. 5.5M verified entities across 34 countries, 40.3M BORME mercantile acts, EU VAT validation, GLEIF, healthcare registries. 20 tools.
6
1
MIT
Why this server?
Uses Wikidata for entity recognition in name valuations, helping identify real-world entities to improve pricing estimates.
AI-powered ENS intelligence for autonomous agents, enabling search, valuation, trading, and management of ENS domains via the Model Context Protocol.
44
AGPL 3.0
Why this server?
Provides access to Wikidata knowledge base through five specialized tools: entity search, detailed entity retrieval, custom SPARQL query execution, entity relation exploration, and property-value searches.
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.
5
4
MIT
Why this server?
Provides access to Wikidata as a public open-data source for corporate and entity information, enriching company profiles and knowledge-graph data with Wikidata-backed records.
Structured financial data for ~3,800 Japanese listed companies from EDINET regulatory filings — financials, major shareholders, segments, executive compensation, and corporate history. Remote MCP over HTTPS with OAuth 2.0, free tier.
13
1
MIT
Why this server?
Allows finding plays containing specific characters by their Wikidata ID, connecting dramatic characters to structured knowledge graph identifiers.
A Model Context Protocol server that enables Claude and other LLMs to interact with the Drama Corpora Project API for analyzing dramatic texts, character networks, and play information across different languages and periods.
6
5
MIT
Why this server?
Provides search capabilities for structured data through the Wikidata API, enabling entity search and retrieval.
A metasearch backend MCP server that aggregates results from multiple search engines and knowledge sources into structured JSON for AI agents. It provides unified search capabilities across web, academic, developer, and knowledge providers through MCP tools.
