Wikidata MCP Server with 8 Tools for Claude, Cursor, and AI Agents
GDPR Free for SubscribersAccess the world's largest open knowledge graph—query entities via SPARQL, perform vector searches, and manage structured data directly from your AI agent. Vinkius routes your AI agents directly to Wikidata through a governed connection. 8 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.
Ask AI about this server
Compatible with every major AI agent and IDE
Gemini* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the Wikidata MCP Server?
The Wikidata MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to Wikidata via 8 tools. Access the world's largest open knowledge graph—query entities via SPARQL, perform vector searches, and manage structured data directly from your AI agent. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.
Built-in capabilities (8)
Tools for your AI Agents to operate Wikidata
Ask your AI agent "Search for Wikidata items related to 'artificial neural networks' using vector search." and get the answer without opening a single dashboard. With 8 tools connected to real Wikidata data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.
Build your own MCP Server with our secure development framework →The Wikidata App Connector works with every AI agent you already use
…and any MCP-compatible client
Use all 8 Wikidata tools with your AI agents right now
Vinkius routes your AI agents to Wikidata through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.
Create statement on Wikidata
Requires OAuth 2.0 Access Token. Create a new statement for an Item
Execute sparql on Wikidata
Use hint:Query hint:optimizer "None" if queries timeout. Execute a SPARQL query
Get item on Wikidata
g., Q42) via the Wikibase REST API. Retrieve a specific Wikidata Item
Get item statements on Wikidata
Retrieve statements for a Wikidata Item
Get similarity score on Wikidata
Compute similarity between text and an entity
Search items vector on Wikidata
Hybrid vector/keyword search for Items
Search properties vector on Wikidata
Hybrid vector/keyword search for Properties
Set item description on Wikidata
Requires OAuth 2.0 Access Token. Set an Item description
What the Wikidata MCP Server unlocks
Connect to Wikidata, the central storage for structured data of Wikimedia projects. This MCP server allows your AI agent to tap into millions of items, properties, and statements using both traditional SPARQL queries and modern vector-based semantic search.
What you can do
- Entity Retrieval — Fetch full data and statements for any Wikidata Item (e.g., Q42) using the
get_itemandget_item_statementstools. - Advanced Querying — Execute complex SPARQL queries against the Wikidata Query Service (WDQS) with
execute_sparqlto find relationships and patterns across the entire graph. - Semantic Search — Use
search_items_vectorandsearch_properties_vectorto find entities and properties based on meaning rather than just exact keywords. - Data Contribution — Update the knowledge graph by creating statements or setting descriptions with
create_statementandset_item_description(requires OAuth). - Similarity Analysis — Compare text strings against specific entities to get semantic similarity scores using
get_similarity_score.
How it works
1. Subscribe to this server
2. Provide your User Agent (required by Wikimedia policy)
3. Optionally provide an OAuth 2.0 Access Token for write operations
4. Start exploring the world's knowledge from your favorite AI client
Who is this for?
- Researchers & Academics — instantly verify facts, dates, and relationships across history, science, and culture.
- Data Scientists — extract structured datasets for analysis or training without leaving the chat interface.
- Developers — find entity IDs and property schemas to integrate into applications or automate data enrichment.
Frequently asked questions about the Wikidata MCP Server
How can I find a Wikidata Item if I don't know its Q-ID?
You can use the search_items_vector tool. It performs a hybrid search using high-dimensional embeddings and keywords to find the most relevant entities based on your natural language description.
Is it possible to run complex queries like 'List all female scientists born in the 19th century'?
Yes, the execute_sparql tool allows you to run any valid SPARQL query against the Wikidata Query Service. This is the most powerful way to filter and aggregate data across the entire knowledge graph.
Can I use this server to update information on Wikidata?
Yes, if you provide an OAuth 2.0 Access Token, you can use create_statement to add new data or set_item_description to update descriptions in various languages.
More in this category
NOAA Observations — US Current Conditions
5 toolsReal-time weather observations from thousands of official NWS stations: temperature, wind speed and direction, humidity, barometric pressure, visibility, and weather conditions across the United States.
NASA DONKI — Space Weather Intelligence
7 toolsNASA's Space Weather Database: coronal mass ejections (CMEs), solar flares (C/M/X class), geomagnetic storms, interplanetary shocks, solar energetic particles, radiation belt events, and real-time notifications from the DONKI system.
IBM Quantum
8 toolsConnect IBM Quantum to any AI agent via MCP.
OpenAlex Alternative
14 toolsAutomate scholarly research via OpenAlex — search millions of works, authors, and institutions directly from any AI agent.
You might also like
Orderry
12 toolsManage your repair shop, orders, and inventory with Orderry and AI agents.
Steam
10 toolsAccess Steam gaming data — player profiles, owned games, achievements, and stats via AI.
Freshsales
12 toolsManage your CRM pipelines, track leads, and oversee sales deals via AI agents with Freshsales.
Benchmark Email
10 toolsAutomate email marketing via Benchmark Email — manage contacts, lists, and campaigns directly from any AI agent.
We built the connector to Wikidata. Now put your agents to work. Fully governed.
Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.
Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.
Every tool call, every token, every response. Logged and auditable. Data flows direct from Wikidata to your agent. Nothing is stored on our side. Ever.
Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.