Wikidata MCP Server for ClineGive Cline instant access to 8 tools to Create Statement, Execute Sparql, Get Item, and more
GDPR Free for SubscribersCline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Wikidata through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.
Ask AI about this MCP Server for Cline
The Wikidata MCP Server for Cline is a standout in the The Unthinkable category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Gemini{
"mcpServers": {
"wikidata": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Wikidata and 4,000+ MCP Servers from a single visual interface.
* 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
About Wikidata MCP Server
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.
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Wikidata tool calls without waiting for prompts between steps. Connect 8 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
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.
The Wikidata MCP Server exposes 8 tools through the Vinkius. Connect it to Cline in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 8 Wikidata tools available for Cline
When Cline connects to Wikidata through Vinkius, your AI agent gets direct access to every tool listed below — spanning knowledge-graph, sparql, structured-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
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
Connect Wikidata to Cline via MCP
Follow these steps to wire Wikidata into Cline. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Open Cline MCP Settings
Add remote server
Enable the server
Start using Wikidata
Why Use Cline with the Wikidata MCP Server
Cline provides unique advantages when paired with Wikidata through the Model Context Protocol.
Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Wikidata + Cline Use Cases
Practical scenarios where Cline combined with the Wikidata MCP Server delivers measurable value.
Autonomous feature building: tell Cline to fetch data from Wikidata and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use Wikidata tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from Wikidata and generates snapshot tests or mocks based on actual payloads
Incident response: query Wikidata for real-time status and let Cline generate hotfix patches based on the findings
Example Prompts for Wikidata in Cline
Ready-to-use prompts you can give your Cline agent to start working with Wikidata immediately.
"Search for Wikidata items related to 'artificial neural networks' using vector search."
"Run a SPARQL query to find the 5 most populated cities in Brazil."
"Get all statements for the Wikidata item Q42."
Troubleshooting Wikidata MCP Server with Cline
Common issues when connecting Wikidata to Cline through Vinkius, and how to resolve them.
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Wikidata + Cline FAQ
Common questions about integrating Wikidata MCP Server with Cline.
How does Cline connect to MCP servers?
Can Cline run MCP tools without approval?
Does Cline support multiple MCP servers at once?
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