DBpedia MCP Server for Mastra AIGive Mastra AI 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

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect DBpedia through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

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The DBpedia MCP Server for Mastra AI 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

typescript

import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "dbpedia": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "DBpedia Agent",
    instructions:
      "You help users interact with DBpedia " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with DBpedia?"
  );
  console.log(result.text);
}

main();

Fully ManagedVinkius Servers

60%Token savings

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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.

Mastra's agent abstraction provides a clean separation between LLM logic and DBpedia tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.ts and run with npx tsx agent.ts

Explore tools

Mastra discovers 8 tools from DBpedia via MCP

Why Use Mastra AI with the DBpedia MCP Server

Mastra AI provides unique advantages when paired with DBpedia through the Model Context Protocol.

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add DBpedia without touching business code

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

TypeScript-native: full type inference for every DBpedia tool response with IDE autocomplete and compile-time checks

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

DBpedia + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the DBpedia MCP Server delivers measurable value.

Automated workflows: build multi-step agents that query DBpedia, process results, and trigger downstream actions in a typed pipeline

SaaS integrations: embed DBpedia as a first-class tool in your product's AI features with Mastra's clean agent API

Background jobs: schedule Mastra agents to query DBpedia on a cron and store results in your database automatically

Multi-agent systems: create specialist agents that collaborate using DBpedia tools alongside other MCP servers

Example Prompts for DBpedia in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

Common issues when connecting DBpedia to Mastra AI through Vinkius, and how to resolve them.

createMCPClient not exported

Install: npm install @mastra/mcp

DBpedia + Mastra AI FAQ

Common questions about integrating DBpedia MCP Server with Mastra AI.

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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