How to Use the Newslit MCP in Google ADK

Q: Can I filter which Newslit tools my Google ADK agent sees?

Yes. Use the toolnames filter during initialization to restrict access. This ensures your agent only uses the specific operations you permit.

Connect Newslit to Google ADK to process media intelligence inside your enterprise agent pipeline.

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Connect Newslit MCP to Google ADK

Create your Vinkius account to connect Newslit 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 Newslit with Google ADK

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Integrate Newslit into Google ADK pipelines

Expose `create_report` to your Gemini-powered agents for automated media logging. It creates a bridge between your external news data and your internal Google Cloud infrastructure. Your agent uses `list_reports` to catalog findings across your entire project. This keeps your reporting logic centralized and observable.

Analyze media trends using Google ADK tools

Use `list_stories` to retrieve high-volume news data for deep reasoning within your agent. The server provides structured output that fits perfectly into long-context tasks. Follow up with `get_report` to isolate specific metrics. This gives your agent a clear view of how media impact changes over time.

Manage media records via Google ADK

Keep your data clean with `update_report` and `delete_report`. These tools allow your agent to prune outdated entries or correct existing logs on the fly. This ensures your media database stays accurate as you scale your operations. Your agent handles the housekeeping so you don't have to.

Setup guide

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

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Common questions about Newslit MCP in Google ADK

It allows your agents to interact with live news data while staying within your secure cloud environment. You get native tool discovery without writing custom wrappers.

Use the McpToolset class to point to your server endpoint. Once registered, your agent gains immediate access to all six media tools.

It does. The tool definitions are compatible with Gemini's function calling, meaning your model can invoke Newslit tools based on natural language instructions.

Yes. Use the tool_names filter during initialization to restrict access. This ensures your agent only uses the specific operations you permit.

The server enforces strict access boundaries. It only touches the specific news reports you designate, keeping your sensitive communications data isolated from other processes.

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