How to Use the DataCite REST MCP in Google ADK

Q: Can I filter DataCite REST tools when using Google ADK?

You can use the toolnames filter in your configuration. This restricts the agent to only the specific DOI management functions you want it to perform.

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Connect DataCite REST MCP to Google ADK

Create your Vinkius account to connect DataCite REST 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 DataCite REST with Google ADK

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Query DOI metadata within Google ADK

Fetch precise information using `get_doi` and feed it directly into your Gemini context window. Your agent analyzes the metadata alongside your BigQuery tables without extra parsing steps. Keep the data flow tight by requesting only what you need. The tool returns structured JSON that fits perfectly into your existing Google Cloud data pipelines.

Map research events in Google ADK

Use `list_events` to connect your DOI records to external usage reports. Your agent correlates this with your infrastructure data to build a complete picture of resource impact. This process works best when you filter by prefix or client. You quickly identify which repository accounts drive the most citation traffic.

Audit repository activity with Google ADK

Call `list_clients` to inventory your active repository accounts. You can then use `list_reports` to pull usage metrics for each account to store in your cloud storage. Your agent manages these accounts as part of a larger reporting cycle. Everything stays within your GCP-managed environment for better oversight.

Setup guide

Set up DataCite REST 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 DataCite REST 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="DataCite REST_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DataCite REST tools via MCP.",
    tools=mcp_tools,
)

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Common questions about DataCite REST MCP in Google ADK

Absolutely. You load massive DOI lists into the context, and the model handles the analysis. It is ideal for large-scale bibliography audits.

You define the server as a toolset in your agent configuration. The model automatically discovers the available functions like `list_prefixes` and `list_providers`.

You can use the tool_names filter in your configuration. This restricts the agent to only the specific DOI management functions you want it to perform.

Yes, the transport is flexible. You choose between Stdio or HTTP based on where your agent code resides.

Your credentials remain behind the Vinkius gateway. The server only sees the ephemeral connection, ensuring your account keys never hit your agent's local memory.

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