DBpedia MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK 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

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DBpedia through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The DBpedia MCP Server for OpenAI Agents SDK 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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+ other MCP clients

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="DBpedia Assistant",
            instructions=(
                "You help users interact with DBpedia. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from DBpedia"
        )
        print(result.final_output)

asyncio.run(main())

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* 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.

The OpenAI Agents SDK auto-discovers all 8 tools from DBpedia through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DBpedia, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to wire DBpedia into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from DBpedia

Why Use OpenAI Agents SDK with the DBpedia MCP Server

OpenAI Agents SDK provides unique advantages when paired with DBpedia through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

DBpedia + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the DBpedia MCP Server delivers measurable value.

Automated workflows: build agents that query DBpedia, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries DBpedia, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through DBpedia tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query DBpedia to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for DBpedia in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting DBpedia to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

DBpedia + OpenAI Agents SDK FAQ

Common questions about integrating DBpedia MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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