Bring Knowledge Graph
to VS Code Copilot
Learn how to connect Wikidata to VS Code Copilot and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
- Subscribe to this server
- Provide your User Agent (required by Wikimedia policy)
- Optionally provide an OAuth 2.0 Access Token for write operations
- 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.
Built-in capabilities (8)
Requires OAuth 2.0 Access Token. Create a new statement for an Item
Use hint:Query hint:optimizer "None" if queries timeout. Execute a SPARQL query
g., Q42) via the Wikibase REST API. Retrieve a specific Wikidata Item
Retrieve statements for a Wikidata Item
Compute similarity between text and an entity
Hybrid vector/keyword search for Items
Hybrid vector/keyword search for Properties
Requires OAuth 2.0 Access Token. Set an Item description
Why VS Code Copilot?
GitHub Copilot Agent mode brings Wikidata data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 8 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
- —
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
- —
Project-scoped MCP configs (
.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access - —
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
- —
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Wikidata in VS Code Copilot
Wikidata and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Wikidata to VS Code Copilot through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Wikidata in VS Code Copilot
The Wikidata 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in VS Code Copilot only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Wikidata for VS Code Copilot
Every tool call from VS Code Copilot to the Wikidata MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
Which VS Code version supports MCP?
MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
How do I switch to Agent mode?
Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
Can I restrict which MCP tools Copilot can access?
Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
Does MCP work in VS Code Remote or Codespaces?
Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.
MCP tools not available
Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.
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