"Wikidata" matching MCP servers:

A server implementation for interacting with Wikidata API using the Model Context Protocol, providing tools for searching identifiers, extracting metadata, and executing SPARQL queries.

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.

MCP server for maintaining specific Wikidata items (person, company, publications) with read tools and a two-step write workflow that enforces sourced, human-approved batch edits.

Connects LLMs to Wikidata's structured knowledge base using a hybrid architecture that optimizes for both fast entity searches and complex relational queries. It provides tools for entity and property retrieval, metadata lookups, and direct SPARQL execution to ground AI responses in verified data.

Grounds local models with a quantized Wikidata corpus via MCP tools for entity resolution and fact lookup, reducing hallucinations.

Provides tools for named entity extraction, Wikidata disambiguation, sameAs schema linking, and knowledge graph triple construction, enabling structured semantic data processing.

Enables verification of simple factual claims (e.g., capital cities) by checking against Wikidata, returning accuracy and confidence scores.

Aggregates search results from DuckDuckGo, Wikidata, and ArXiv into a single markdown response via JSON-RPC endpoint.

MCP server providing free, IP-direct tools for web search, crawling, anti-detect browsing, and structured data from Wikipedia, Wikidata, GitHub, and YouTube.

A Python MCP server for managing a classical musicians database in Supabase/PostgreSQL, enabling search, review, and enrichment of musician profiles from MusicBrainz and Wikidata.