Wikidata MCP Server for Google ADKGive Google ADK instant access to 8 tools to Create Statement, Execute Sparql, Get Item, and more

Name: Wikidata
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Wikidata as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The Wikidata MCP Server for Google ADK is a standout in the The Unthinkable category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="wikidata_agent",
    instruction=(
        "You help users interact with Wikidata "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Wikidata as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Entity Retrieval — Fetch full data and statements for any Wikidata Item (e.g., Q42) using the get_item and get_item_statements tools.
Advanced Querying — Execute complex SPARQL queries against the Wikidata Query Service (WDQS) with execute_sparql to find relationships and patterns across the entire graph.
Semantic Search — Use search_items_vector and search_properties_vector to 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_statement and set_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 Google ADK 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 Google ADK

When Google ADK 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

Create statement on Wikidata

Requires OAuth 2.0 Access Token. Create a new statement for an Item

execute

Execute sparql on Wikidata

Use hint:Query hint:optimizer "None" if queries timeout. Execute a SPARQL query

get

Get item on Wikidata

g., Q42) via the Wikibase REST API. Retrieve a specific Wikidata Item

get

Get item statements on Wikidata

Retrieve statements for a Wikidata Item

get

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

Set item description on Wikidata

Requires OAuth 2.0 Access Token. Set an Item description

Connect Wikidata to Google ADK via MCP

Follow these steps to wire Wikidata into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from Wikidata via MCP

Why Use Google ADK with the Wikidata MCP Server

Google ADK provides unique advantages when paired with Wikidata through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Wikidata

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Wikidata tools with BigQuery, Vertex AI, and Cloud Functions

Wikidata + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Wikidata MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Wikidata and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Wikidata tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Wikidata regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Wikidata

Example Prompts for Wikidata in Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Wikidata to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Wikidata + Google ADK FAQ

Common questions about integrating Wikidata MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.