DBpedia MCP Server for Google ADKGive Google ADK instant access to 8 tools to Get Live Changes, Get Live Resource, Get Resource, and more

Name: DBpedia
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The DBpedia MCP Server for Google ADK is a standout in the Databases 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="dbpedia_agent",
    instruction=(
        "You help users interact with DBpedia "
        "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 DBpedia MCP Server

Connect your AI agent to DBpedia, the structured heart of Wikipedia. This server allows you to perform complex semantic queries, resolve entities, and access real-time data updates from the global knowledge graph.

Google ADK natively supports DBpedia 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

SPARQL Queries — Execute powerful queries against the main DBpedia and DBpedia Live endpoints using query_sparql and query_live_sparql to extract structured data.
Entity Lookup — Search for resources using keywords or autocomplete prefixes with lookup_search and lookup_prefix to find specific Wikipedia entities.
Resource Inspection — Fetch full linked data (RDF, JSON-LD) for any DBpedia resource like cities, people, or events using get_resource.
Real-time Updates — Monitor recent Wikipedia changes with get_live_changes and retrieve the latest article data through get_live_resource.
Bulk Retrieval — Use retrieve_live_articles to extract data for multiple resources simultaneously.

The DBpedia 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 DBpedia tools available for Google ADK

When Google ADK connects to DBpedia through Vinkius, your AI agent gets direct access to every tool listed below — spanning sparql, wikipedia, linked-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.

get

Get live changes on DBpedia

List change events from the DBpedia Live Sync API

get

Get live resource on DBpedia

Retrieve the most recent data for a specific Wikipedia page

get

Get resource on DBpedia

g., "Berlin") using content negotiation. Retrieve linked data for a specific DBpedia resource

lookup

Lookup prefix on DBpedia

Autocomplete search for DBpedia resources

lookup

Lookup search on DBpedia

Search for DBpedia resources using keywords

query

Query live sparql on DBpedia

dbpedia.org/sparql for real-time Wikipedia updates. Execute a SPARQL query against the DBpedia Live endpoint

query

Query sparql on DBpedia

org/sparql. Max 10,000 rows. Execute a SPARQL query against the public DBpedia endpoint

retrieve

Retrieve live articles on DBpedia

Extract recent data for a list of resource names

Connect DBpedia to Google ADK via MCP

Follow these steps to wire DBpedia 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 DBpedia via MCP

Why Use Google ADK with the DBpedia MCP Server

Google ADK provides unique advantages when paired with DBpedia 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 DBpedia

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 DBpedia tools with BigQuery, Vertex AI, and Cloud Functions

DBpedia + Google ADK Use Cases

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

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

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

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

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

Example Prompts for DBpedia in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with DBpedia immediately.

"Search for DBpedia resources related to 'Quantum Computing' using lookup_search."

"Run a query_sparql to find all cities in Japan with more than 1 million inhabitants."

"Get the most recent data for the Wikipedia page 'Artificial Intelligence' using get_live_resource."

Troubleshooting DBpedia MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

DBpedia + Google ADK FAQ

Common questions about integrating DBpedia 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.