How to Use the Currents MCP in Google ADK
Feed real-time news into Gemini agents using Currents and Google ADK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Currents MCP to Google ADK
Create your Vinkius account to connect Currents 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.
Fill Gemini's context window with live news
The `get_latest_news` tool injects breaking global articles straight into your prompt. You tell the agent to monitor a topic, and it pulls the raw text from the API. The response feeds directly into your Google Cloud pipeline. Gemini models handle over a million tokens of context. You can dump hundreds of full-length news articles into a single Google ADK session without losing details. The agent reads the entire batch to spot trends across different publications.
Boolean queries for enterprise data sets
Triggering `search_news` allows your agent to run complex boolean queries against millions of historical articles. It filters by exact phrases or excludes specific terms. The MCP Server returns structured JSON matching your exact criteria. Once the agent retrieves this data, it can write the results directly into BigQuery. You combine external news events with your internal enterprise metrics. The framework connects the outside world to your existing Vertex AI infrastructure.
Localize feeds via the Currents MCP Server
Running `list_languages` and `list_regions` tells your agent which localized feeds it can access. It checks the available country codes before requesting foreign press. This prevents the agent from guessing invalid region tags. You can build an intelligence gathering system that tracks specific markets. An agent monitoring European tech startups knows exactly how to query French or German news sources. It adjusts its requests dynamically based on the available options.
Set up Currents MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Currents tools in your ADK agent.
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="Currents_agent",
model="gemini-2.0-flash",
instruction="You have access to Currents tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Currents. 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.
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Common questions about Currents MCP in Google ADK
Use it with your favorite AI tools
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