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CORE (Open Access Research) MCP Server for Mastra AIGive Mastra AI instant access to 10 tools to Get Article, Get Article History, Get Article Pdf, and more

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

Ask AI about this MCP Server for Mastra AI

The CORE (Open Access Research) MCP Server for Mastra AI is a standout in the Knowledge Management category — giving your AI agent 10 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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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: {
      "core-open-access-research": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "CORE (Open Access Research) Agent",
    instructions:
      "You help users interact with CORE (Open Access Research) " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
CORE (Open Access Research)
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 CORE (Open Access Research) MCP Server

Connect to CORE, the world's largest aggregator of open access research papers. This MCP server allows your AI agent to search, retrieve, and analyze millions of scholarly articles, journals, and institutional repositories through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and CORE (Open Access Research) tool infrastructure. Connect 10 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

  • Global Search — Search across all CORE resources including articles, journals, and repositories using a single text query.
  • Article Retrieval — Fetch full metadata, version history, and direct PDF download links for specific research papers using CORE IDs.
  • Journal & Repository Discovery — Search and inspect specific journals by ISSN or explore institutional repositories to find authoritative sources.
  • OAI Resolution — Resolve Open Archives Initiative (OAI) identifiers to access original metadata and repository pages.
  • Deep Metadata Inspection — Analyze article history and updates to ensure you are working with the latest scientific information.

The CORE (Open Access Research) MCP Server exposes 10 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 10 CORE (Open Access Research) tools available for Mastra AI

When Mastra AI connects to CORE (Open Access Research) through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-access, research-papers, academic-search, 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 article on CORE (Open Access Research)

Get a specific article by CORE ID

get

Get article history on CORE (Open Access Research)

Get the history of an article

get

Get article pdf on CORE (Open Access Research)

Get the PDF download URL for an article

get

Get journal on CORE (Open Access Research)

Get a specific journal by ISSN

get

Get repository on CORE (Open Access Research)

Get a specific repository by ID

global

Global search on CORE (Open Access Research)

Global search across CORE

resolve

Resolve oai on CORE (Open Access Research)

Resolve an OAI identifier

search

Search articles on CORE (Open Access Research)

Search for articles

search

Search journals on CORE (Open Access Research)

Search for journals

search

Search repositories on CORE (Open Access Research)

Search for repositories

Connect CORE (Open Access Research) to Mastra AI via MCP

Follow these steps to wire CORE (Open Access Research) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 10 tools from CORE (Open Access Research) via MCP

Why Use Mastra AI with the CORE (Open Access Research) MCP Server

Mastra AI provides unique advantages when paired with CORE (Open Access Research) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add CORE (Open Access Research) without touching business code

02

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

03

TypeScript-native: full type inference for every CORE (Open Access Research) tool response with IDE autocomplete and compile-time checks

04

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

CORE (Open Access Research) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the CORE (Open Access Research) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query CORE (Open Access Research), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed CORE (Open Access Research) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query CORE (Open Access Research) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using CORE (Open Access Research) tools alongside other MCP servers

Example Prompts for CORE (Open Access Research) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with CORE (Open Access Research) immediately.

01

"Search CORE for the latest research on transformer architectures in NLP."

02

"Get the PDF download link for the article with CORE ID 123456."

03

"Find information about the journal with ISSN 2041-1723."

Troubleshooting CORE (Open Access Research) MCP Server with Mastra AI

Common issues when connecting CORE (Open Access Research) to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

CORE (Open Access Research) + Mastra AI FAQ

Common questions about integrating CORE (Open Access Research) MCP Server with Mastra AI.

01

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.
02

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.
03

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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