How to Use the Baidu Analytics / 百度统计 MCP in Google ADK

Q: How do I add the Baidu Analytics / 百度统计 MCP Server to my Google ADK setup?

Install google-adk and create an McpToolset using your provided URL. Pass that toolset to your LlmAgent constructor. The Gemini model automatically maps the available reporting functions.

Q: Can my Gemini agent query multiple Baidu Analytics / 百度统计 sites?

It certainly can. The agent starts by calling listsites to get the internal IDs for your entire portfolio. Then it loops through those IDs, calling getdailytrend for each specific domain.

Q: How do I restrict which Baidu tools the Google ADK agent can access?

Pass a toolnames array when setting up the toolset. You might limit a public-facing bot to only use getpagerankings while blocking access to deeper custom queries.

Feed real-time Chinese market traffic into your Gemini models with the Baidu Analytics MCP Server for Google ADK.

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Connect Baidu Analytics / 百度统计 MCP to Google ADK

Create your Vinkius account to connect Baidu Analytics / 百度统计 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 Baidu Analytics / 百度统计 with Google ADK

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Parse Massive Analytics Datasets

Massive context windows allow the Gemini model to parse weeks of raw analytics logs at once. Instead of summarizing data in chunks, you dump massive arrays into the prompt. The `query_custom_metrics` tool lets your agent pull thousands of rows of report data in a single pass. Your Google ADK agent holds all that historical context while answering ad-hoc questions. It compares yesterday's numbers from `get_yesterday_overview` against a backlog of previous queries without losing the thread.

Integrate the Baidu Analytics MCP Server

The `baidu-analytics-mcp` integration hooks directly into your enterprise Google Cloud infrastructure. Connecting this MCP Server requires minimal boilerplate. You initialize an `McpToolset` with your endpoint URL and hand it to the `LlmAgent`. Moving data from Baidu into your cloud storage becomes trivial. Have the agent pull top URLs via `get_page_rankings` and format the output as JSON. Your existing pipelines push those metrics straight into BigQuery.

Track Live Campaign Performance

Live campaign tracking feeds exact active visitor counts to your agent in real time. Launching a new product in China requires instant feedback. Firing the `get_realtime_metrics` tool watches the traffic spike as your campaign goes live. Knowing where those users come from is just as crucial. Calling `get_source_data` breaks down the acquisition channels instantly. You restrict the exposed tools using the `tool_names` filter if you only want your agent focused on live monitoring.

Setup guide

Set up Baidu Analytics / 百度统计 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 Baidu Analytics / 百度统计 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="Baidu Analytics / 百度统计_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Baidu Analytics / 百度统计 tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Baidu Analytics / 百度统计. 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 Baidu Analytics / 百度统计 MCP in Google ADK

Install `google-adk` and create an `McpToolset` using your provided URL. Pass that toolset to your `LlmAgent` constructor. The Gemini model automatically maps the available reporting functions.

It certainly can. The agent starts by calling `list_sites` to get the internal IDs for your entire portfolio. Then it loops through those IDs, calling `get_daily_trend` for each specific domain.

Pass a `tool_names` array when setting up the toolset. You might limit a public-facing bot to only use `get_page_rankings` while blocking access to deeper custom queries.

Yes, the Google ADK sits on top of Vertex AI and the Gemini ecosystem. You get the same enterprise-grade infrastructure while your agent fetches live geographic stats via `get_geo_distribution`.

Nobody except you and your LLM provider. The MCP Server operates on a zero-trust architecture where geographic visitor splits and referral source metrics exist only in active memory before the sandbox terminates.

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