DBpedia Connector for AI agents.

Q: Does DBpedia MCP provide real-time updates?

Yes, it includes tools to monitor live changes and get the latest page data as it happens on Wikipedia.

Q: How do I perform a custom semantic query on DBpedia?

Use the querysparql tool. You can provide a standard SPARQL query string to filter and retrieve specific data from the DBpedia knowledge graph, such as lists of people, places, or specific properties.

Q: Can I find a DBpedia resource if I only have a partial name?

Yes! Use the lookupprefix tool for autocomplete-style searching or lookupsearch for keyword-based resolution. These tools help map natural language names to official DBpedia identifiers.

8 live capabilities

Access structured Wikipedia data and run SPARQL queries for your projects.

Live agent request DBpedia / Connector

Waiting for input…

AI Agent

Why people use DBpedia

DBpedia Knowledge Graph SPARQL Data

With this Connector, your agent can just ask the DBpedia knowledge graph directly. You can run a query and get back a clean list of entities, populations, or dates in seconds. You get structured data ready for your project without ever touching a scraper.

What Vinkius changes

That you get instant access to structured, real-time Wikipedia data without having to build your own scrapers.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

Real-world use case 01

Finding specific population data

A researcher needs to find all cities in Japan with over 1 million people.
Real-world use case 02

Getting latest AI updates

A developer wants to see the latest updates on Artificial Intelligence.
Real-world use case 03

Identifying related concepts

A student wants to find resources for Quantum Computing.

Complete set · 8capabilities

The complete DBpedia capability set.

These are the exact actions your AI can choose when you ask it to work with DBpedia.

Capability set01 / 02

01—04

4 capabilities in this set.

Part of 8 available through DBpedia.

01 Capability
Get live changes
List change events from the DBpedia Live Sync API. It lets you monitor live Wikipedia updates in real time.
02 Capability
Get live resource
Get the most recent data for a specific Wikipedia page. It ensures your agent has the latest information.
03 Capability
Query live sparql
Run a SPARQL query against the DBpedia Live endpoint for real-time updates. It pulls the latest Wikipedia changes instantly.
04 Capability
Lookup prefix
Use autocomplete search to find specific DBpedia resources. It helps you find the correct entity name without guessing.

Capability set02 / 02

05—08

4 capabilities in this set.

Part of 8 available through DBpedia.

05 Capability
Lookup search
Search for DBpedia resources using keywords. It helps find broad categories of information or specific items.
06 Capability
Get resource
Retrieve linked data for a specific resource like a city or person. It provides structured RDF and JSON-LD data.
07 Capability
Query sparql
Execute a SPARQL query against the public DBpedia endpoint. Use this for standard knowledge graph queries.
08 Capability
Retrieve live articles
Extract recent data for a list of resource names simultaneously. It is perfect for bulk data gathering.

Set up in minutes

One URL. Then ask DBpedia to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use DBpedia from the conversation.

Choose your client

Live preview

Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_pNhDXpufmvKT117EQMu8QGXrzb3zE0wbMXdJfU8I/mcp

Step 01

Open Connectors

In Claude Web or Claude Desktop, open Settings and choose Connectors.
Step 02

Add the URL

Choose Add custom connector, name it DBpedia, and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable DBpedia for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_pNhDXpufmvKT117EQMu8QGXrzb3zE0wbMXdJfU8I/mcp

Step 01

Open MCP settings

On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
Step 02

Add the URL

Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the DBpedia URL.
Step 03

Save and start

Save the connection and enable DBpedia in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "dbpedia": {
      "url": "https://edge.vinkius.com/vk_preview_pNhDXpufmvKT117EQMu8QGXrzb3zE0wbMXdJfU8I/mcp"
    }
  }
}

Step 01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Step 02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens
Step 03

Save the file

Cursor will automatically detect the new Connector
Step 04

Start using DBpedia

Open Agent mode in chat and ask: "Using DBpedia, help me...". 8 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "dbpedia": {
      "url": "https://edge.vinkius.com/vk_preview_pNhDXpufmvKT117EQMu8QGXrzb3zE0wbMXdJfU8I/mcp"
    }
  }
}

Step 01

Create MCP config

Create a .vscode/mcp.json file in your project root
Step 02

Add the server config

Paste the JSON configuration above
Step 03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Step 04

Start using DBpedia

Ask Copilot: "Using DBpedia, help me...". 8 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "dbpedia": {
      "url": "https://edge.vinkius.com/vk_preview_pNhDXpufmvKT117EQMu8QGXrzb3zE0wbMXdJfU8I/mcp"
    }
  }
}

Step 01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Step 02

Add the server

Paste the JSON configuration above into mcp_config.json
Step 03

Save and reload

Windsurf will detect the new server automatically
Step 04

Start using DBpedia

Open Cascade and ask: "Using DBpedia, help me...". 8 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "dbpedia": {
      "url": "https://edge.vinkius.com/vk_preview_pNhDXpufmvKT117EQMu8QGXrzb3zE0wbMXdJfU8I/mcp"
    }
  }
}

Step 01

Open Cline MCP Settings

Click the Connectors icon in the Cline sidebar panel
Step 02

Add remote server

Click "Add Connector" and paste the configuration above
Step 03

Enable the server

Toggle the server switch to ON
Step 04

Start using DBpedia

Ask Cline: "Using DBpedia, help me...". 8 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add dbpedia --transport http "https://edge.vinkius.com/vk_preview_pNhDXpufmvKT117EQMu8QGXrzb3zE0wbMXdJfU8I/mcp"

Step 01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed
Step 02

Add the Connector

Run the command above in your terminal
Step 03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session
Step 04

Start using DBpedia

Ask Claude: "Using DBpedia, show me...". 8 tools are ready

Where the request belongs

Work DBpedia can move forward.

Built around the request

Data scientists needing structured datasets, developers building knowledge-based apps, and AI engineers who need a factual grounding source for general knowledge.

Data Scientist

Pulls structured datasets from Wikipedia for analysis without manual scraping.

Backend Developer

Enriches applications with global entity data and semantic relationships.

AI Researcher

Provides a factual grounding source for general knowledge and real-time events.

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors

01 8 capabilities

Wikidata

Access the world's largest open knowledge graph—query entities via SPARQL, perform vector searches, and manage structured data directly from your AI agent.

View Connector

02 4 capabilities

Cognee

Build knowledge graphs from unstructured data. ingest text, extract entities and relationships, and search with graph-aware AI reasoning.

View Connector

03 13 capabilities

MediaWiki

Connect to any MediaWiki instance to search pages, read content, list categories, and track recent changes directly from your AI agent.

View Connector

04 10 capabilities

Tana

Connect your AI to Tana. Build intelligent knowledge graphs, define supertags, and capture dynamic nested nodes directly from the prompt.

View Connector

05 6 capabilities

Wiki.js

Manage your Wiki.js instance—create, search, and update documentation pages directly from your AI agent.

View Connector

06 10 capabilities

Bing Search

Power your AI agent with global web data via Bing Search. query web pages, images, news, videos, and local businesses in real-time.

View Connector

Bring your own AI

Change the model, client or framework. Keep DBpedia connected.

Claude
ChatGPT
Gemini
Cursor
VS Code
Windsurf
ZCode
Cline
Zed
Continue
Kiro
Roo Code
Zencoder
Goose
Void
Augment Code
Amp
Qodo
Tabnine
Pieces
Sourcegraph Cody
JetBrains
Warp
Amazon Q
Antigravity
BoltAI
Raycast
Jan
LM Studio
AnythingLLM
Open WebUI
Msty
Cherry Studio
LibreChat
TypingMind
Chorus
5ire
n8n
LangChain
LlamaIndex
CrewAI
Vercel AI SDK

Before you connect

Questions about DBpedia.

The practical details behind the request, access and result.

Can DBpedia MCP help me get data from Wikipedia?

Yes, it connects your agent to the structured part of Wikipedia. It allows you to pull verified facts and data points directly into your project.

What is the difference between DBpedia and regular Wikipedia?

DBpedia is a knowledge graph that turns Wikipedia text into structured data. It makes it much easier for agents to understand relationships and specific facts.

Can I use this Connector to run SPARQL queries?

Yes, it lets your agent execute complex queries against the main and live DBpedia endpoints to extract specific datasets.

Does DBpedia MCP provide real-time updates?

Yes, it includes capabilities to monitor live changes and get the latest page data as it happens on Wikipedia.

Is DBpedia MCP good for data science projects?

It's great for extracting structured datasets without manual scraping. It gives you clean data ready for analysis or application building.

How do I get linked data for specific entities?

The Connector lets your agent fetch RDF and JSON-LD for things like cities or people, providing a clear map of how different entities are connected.

How do I perform a custom semantic query on DBpedia?

Use the query_sparql capability. You can provide a standard SPARQL query string to filter and retrieve specific data from the DBpedia knowledge graph, such as lists of people, places, or specific properties.

Can I find a DBpedia resource if I only have a partial name?

Yes! Use the lookup_prefix capability for autocomplete-style searching or lookup_search for keyword-based resolution. These capabilities help map natural language names to official DBpedia identifiers.

How can I track the most recent updates to Wikipedia articles?

Use the get_live_changes capability to list recent change events from the DBpedia Live Sync API, or get_live_resource to fetch the absolute latest data for a specific page title.

One connection away

Give your agent a direct line to DBpedia.

Connect DBpedia once. Keep it beside 6,100+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available

DBpedia Knowledge Graph SPARQL Data

That you get instant access to structured, real-time Wikipedia data without having to build your own scrapers.

Finding specific population data

Getting latest AI updates

Identifying related concepts

Get live changes

Get live resource

Query live sparql

Lookup prefix

Lookup search

Get resource

Query sparql

Retrieve live articles

Open Connectors

Add the URL

Turn it on in chat

Open MCP settings

Add the URL

Save and start

Open MCP Settings

Add the server config

Save the file

Start using DBpedia

Create MCP config

Add the server config

Enable Agent mode

Start using DBpedia

Open MCP Settings

Add the server

Save and reload

Start using DBpedia

Open Cline MCP Settings

Add remote server

Enable the server

Start using DBpedia

Install Claude Code

Add the Connector

Verify the connection

Start using DBpedia

Data Scientist

Backend Developer

AI Researcher

Wikidata

Cognee

MediaWiki

Tana

Wiki.js

Bing Search

Give your agent a direct line to DBpedia.