How to Use the CORE (Open Access Research) MCP in Google ADK

Bring academic data into your Google ADK enterprise agents on Google Cloud.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect CORE (Open Access Research) MCP to Google ADK

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

GDPR Free for Subscribers

Setup CORE (Open Access Research) with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run complex queries on CORE (Open Access Research) via Google ADK

The `search_repositories` and `search_journals` tools allow your agent to map out broad research areas. You pipe these results straight into your BigQuery datasets for further analysis. Your Gemini-powered agents can now reason over millions of records stored in the CORE database. It provides the deep context required for your enterprise-scale research tasks.

Trace article history with Google ADK

Execute `get_article_history` to pull publication timelines into your Google Cloud workflows. You see exactly when a paper was updated or modified. This tool gives your agents the temporal context they need to differentiate between draft versions and final research. It integrates with your existing infrastructure through the standard MCP transport.

Expose specific CORE (Open Access Research) tools in Google ADK

Use the tool_names filter to restrict which functions your agent can see. You only expose the specific endpoints required for your current business process. This keeps your agent's action space focused and predictable. It maps perfectly to your existing Google ADK setup for managing complex, multi-step LLM tasks.

Setup guide

Set up CORE (Open Access Research) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with CORE (Open Access Research) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="CORE (Open Access Research)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to CORE (Open Access Research) tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CORE. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect CORE (Open Access Research) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about CORE (Open Access Research) MCP in Google ADK

Use the McpToolset class to point your agent at the server endpoint. It supports both Stdio and HTTP transports natively. You then pass this toolset directly to your LlmAgent instance.

Yes, the data returned is concise and formatted for large-context reasoning. You can load multiple article summaries into Gemini without hitting token limits immediately. It maintains a high signal-to-noise ratio.

Your agent can read the research data and then use your standard Google Cloud connectors to write to BigQuery. The MCP server acts as the input source for your data pipeline.

It responds in milliseconds, which is necessary for high-throughput enterprise agents. You won't see delays in your agent's reasoning steps.

The server transmits only public research metadata via encrypted transport. It doesn't access your private BigQuery tables or internal cloud secrets. The interaction is limited to read-only queries against public research databases.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript