How to Use the CORE (Open Access Research) MCP in Mastra AI

Q: Can I build conditional branches with CORE (Open Access Research) in Mastra AI?

Yes, you can branch your workflow based on whether getjournal returns a verified ISSN. If the journal is unverified, Mastra routes the task to a human-approval step.

Q: How does Mastra AI handle failed PDF downloads from CORE (Open Access Research)?

Mastra uses its built-in retry mechanism when getarticlepdf fails due to network issues. The system backs off exponentially before trying the next document in the queue.

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Connect CORE (Open Access Research) MCP to Mastra AI

Create your Vinkius account to connect CORE (Open Access Research) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CORE (Open Access Research) with Mastra AI

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Automated Research Workflows in Mastra AI

This MCP Server exposes `search_articles` to let your Mastra agents build multi-step research pipelines. You can configure a workflow that triggers a search, filters the results, and pulls full metadata automatically. If the CORE API rate limit is reached, Mastra’s built-in workflow engine retries the `get_article` call with exponential backoff. This ensures your academic data ingestion never fails silently.

Multi-Step Journal and Repository Verification

The `get_journal` tool retrieves verified ISSN data to validate the credibility of research sources. Your Mastra workflows use this to cross-reference publishers before archiving any text. You can chain this with `get_repository` to find the physical hosting repository of the paper. The agent branches conditionally, flagging unverified journals for human approval.

Bulk PDF Resolution with Human-in-the-Loop

The `get_article_pdf` tool fetches the direct URL for any open-access paper identified during your automated sweeps. Mastra’s workflow engine holds the step until you approve the download queue. Using `resolve_oai`, the agent resolves legacy identifiers to ensure the PDF links remain active. This keeps your local research database accurate and up to date.

Setup guide

Set up CORE (Open Access Research) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All CORE (Open Access Research) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

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

const mcpClient = new MCPClient({
  id: "core-open-access-research-mcp-client",
  servers: {
    "core-open-access-research-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "CORE (Open Access Research) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to CORE (Open Access Research) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent CORE (Open Access Research) transactions"
);
console.log(result.text);

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Common questions about CORE (Open Access Research) MCP in Mastra AI

You register the MCP server URL in your Mastra client and spread the tools into your agent config. The agent then invokes `global_search` dynamically when executing research workflows.

Yes, you can branch your workflow based on whether `get_journal` returns a verified ISSN. If the journal is unverified, Mastra routes the task to a human-approval step.

Mastra uses its built-in retry mechanism when `get_article_pdf` fails due to network issues. The system backs off exponentially before trying the next document in the queue.

You can limit the active tools by filtering the array returned by `listTools()` before passing them to the agent. This prevents the agent from using tools like `get_repository` when it only needs article search.

All API calls to the MCP server run inside an isolated, zero-trust sandbox. Your query parameters, ISSNs, and resolved PDF URLs are processed ephemerally and never logged.

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