How to Use the Unpaywall (Open Access Papers) MCP in Google ADK

Q: How does Unpaywall (Open Access Papers) work with Google ADK?

The getarticleoastatus tool checks DOIs and returns OA status and PDF links. You can then use Gemini models, within the Google ADK framework, to reason over this verified data.

Get verifiable open access paper data into your enterprise agents with Google ADK.

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Connect Unpaywall (Open Access Papers) MCP to Google ADK

Create your Vinkius account to connect Unpaywall (Open Access Papers) 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.

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Setup Unpaywall (Open Access Papers) with Google ADK

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Verify Open Access Status via MCP Server

The `get_article_oa_status` tool takes a DOI and returns its Open Access status and PDF links. This structured knowledge can then be fed directly into your Gemini models for context. It’s perfect for grounding enterprise agents in verifiable, up-to-date academic information.

Integrating Unpaywall (Open Access Papers) with Google ADK

You can pass the output of this MCP Server into your long-context reasoning models. The agent retrieves OA status and links, then uses that data in combination with BigQuery information. This lets you build agents that don't just read prompts; they act on real, verifiable academic facts.

Knowledge Enrichment for Google ADK Agents

Instead of relying on general knowledge, your agent can execute `get_article_oa_status` to find the best source material. This ensures any research performed by your system is built on open-access papers. The result is higher quality output, because the foundation data came straight from this MCP Server.

Setup guide

Set up Unpaywall (Open Access Papers) 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 Unpaywall (Open Access Papers) 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="Unpaywall (Open Access Papers)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Unpaywall (Open Access Papers) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Unpaywall (Open Access Papers) MCP in Google ADK

The `get_article_oa_status` tool checks DOIs and returns OA status and PDF links. You can then use Gemini models, within the Google ADK framework, to reason over this verified data.

Yes. It integrates seamlessly as a toolset for your LlmAgent. This allows your cloud-native system to check academic availability before executing any complex logic.

It provides structured metadata about scholarly articles, specifically their Open Access status and direct full-text links. This is ready to be ingested into BigQuery or Vertex AI.

The toolset supports batch processing of DOIs, letting your agent analyze a wide selection of literature efficiently. You only need one endpoint token to manage it all.

It manages DOI identifiers and associated URL/PDF link strings. The primary focus is on knowledge-management status for scholarly research.

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