4,000+ servers built on vurb.ts
Vinkius
WindsurfIDE
DBpedia MCP Server

Bring Sparql
to Windsurf

Learn how to connect DBpedia to Windsurf and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Get Live ChangesGet Live ResourceGet ResourceLookup PrefixLookup SearchQuery Live SparqlQuery SparqlRetrieve Live Articles

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
DBpedia

What is the 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.

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.

How it works

  1. Subscribe to this server
  2. DBpedia is a public service; simply confirm your connection to the public endpoint
  3. Start querying the world's knowledge from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Researchers & Data Scientists — extract structured datasets from Wikipedia without manual scraping
  • Developers — enrich applications with global entity data and semantic relationships
  • AI Engineers — provide agents with a factual grounding source for general knowledge and real-time events

Built-in capabilities (8)

get_live_changes

List change events from the DBpedia Live Sync API

get_live_resource

Retrieve the most recent data for a specific Wikipedia page

get_resource

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

lookup_prefix

Autocomplete search for DBpedia resources

lookup_search

Search for DBpedia resources using keywords

query_live_sparql

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

query_sparql

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

retrieve_live_articles

Extract recent data for a list of resource names

Why Windsurf?

Windsurf's Cascade agent chains multiple DBpedia tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 8 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

  • Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

  • Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

  • JSON-based configuration means zero code changes: paste a URL, reload, and all 8 tools are immediately available

  • Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

See it in action

DBpedia in Windsurf

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

DBpedia and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect DBpedia to Windsurf through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for DBpedia in Windsurf

The DBpedia 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Windsurf only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

DBpedia
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

The Vinkius Advantage

How Vinkius secures DBpedia for Windsurf

Every tool call from Windsurf to the DBpedia MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I perform a custom semantic query on DBpedia?

Use the query_sparql 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.

02

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

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

03

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

Use the get_live_changes tool 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.

04

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.

05

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.

06

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

07

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

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