Wikidata MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Create Statement, Execute Sparql, Get Item, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Wikidata through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Wikidata MCP Server for Vercel AI SDK 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
Geminiimport { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Wikidata, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every Wikidata tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK
When Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to wire Wikidata into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Wikidata MCP Server
Vercel AI SDK provides unique advantages when paired with Wikidata through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Wikidata integration everywhere
Built-in streaming UI primitives let you display Wikidata tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Wikidata + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Wikidata MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Wikidata in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Wikidata tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Wikidata capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Wikidata through natural language queries
Example Prompts for Wikidata in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Wikidata to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWikidata + Vercel AI SDK FAQ
Common questions about integrating Wikidata MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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