How to Use the Marketaux MCP in Google ADK

Q: Can I restrict which Marketaux tools the Google ADK agent sees?

Absolutely. Use the toolnames filter when you set up the MCP connection. You can expose just the sentiment tools and hide the raw news feeds if you want.

Pump global market sentiment into your Google ADK pipelines and let Gemini chew through the noise.

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Connect Marketaux MCP to Google ADK

Create your Vinkius account to connect Marketaux 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 Marketaux with Google ADK

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Feed massive news volumes via MCP Server

Gemini's million-token context window is starving for data. Connect this MCP Server and dump thousands of articles from `search_news` straight into your workspace. You don't have to summarize anymore. Let the model read the raw output from `get_latest_news` and cross-reference it with your internal BigQuery datasets.

Track market status with Marketaux

Enterprise agents need to know if the market is actually open before they trigger a cloud workflow. The `get_stock_market_status` tool gives your Google ADK agent that exact binary check. If the market is closed, the agent sleeps. If it's open, it fires up `get_trending_news` and starts pushing insights into Vertex AI.

Map the market with precision

Financial data is messy. You need exact identifiers to avoid hallucinations. Your agent uses `get_symbols` and `get_entities` to lock down the exact corporate targets. Add `list_industries` and `search_exchanges` to the mix. Now your Gemini agent understands the structural hierarchy of the global markets before it even looks at a stock price.

Setup guide

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

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Common questions about Marketaux MCP in Google ADK

Use the McpToolset class. Point StreamableHttpServerParameters at your Vinkius URL, then drop the toolset into your LlmAgent configuration.

Absolutely. Use the tool_names filter when you set up the MCP connection. You can expose just the sentiment tools and hide the raw news feeds if you want.

Yes. The framework handles HTTP transports natively. You just provide the endpoint token and it manages the underlying protocol.

Gemini handles massive context windows effortlessly. It can digest the full payload from `get_sentiment_analysis` without breaking a sweat.

We process your API calls in a zero-trust environment. When your agent pulls stock market status or entity lists, the sandbox destroys itself the millisecond the request finishes.

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