How do I find my Baidu Analytics Token and Site ID?

Log in to the [Baidu Analytics Console](https://tongji.baidu.com/), navigate to [Management] -> [Site List] to find your numeric Site ID. The API Token is usually provided in the API settings or developer services section after account verification.

What metrics are supported in real-time queries?

Real-time tools provide access to Page Views (PV), Unique Visitors (UV), IP counts, and the current number of online users on your site.

Can I query data for specific dates?

Yes! Use the trend and metric tools with `start_date` and `end_date` in `YYYYMMDD` format. Your agent will retrieve the historical data for the requested period.

Baidu Analytics / 百度统计 MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: Baidu Analytics / 百度统计
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Baidu Analytics / 百度统计 as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="baidu_analytics_agent",
    instruction=(
        "You help users interact with Baidu Analytics / 百度统计 "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Baidu Analytics / 百度统计 MCP Server

Empower your AI agent to orchestrate your web analytics and visitor insights with Baidu Analytics (百度统计), the dominant traffic analysis platform in China. By connecting Baidu Analytics to your agent, you transform complex metric reporting, real-time visitor tracking, and source auditing into a natural conversation. Your agent can instantly retrieve site lists, query real-time PV/UV data, audit daily visitor trends, and generate custom performance reports without you ever needing to navigate the comprehensive Baidu Tongji Dashboard. Whether you are conducting a digital marketing audit or monitoring the performance of a new landing page, your agent acts as a real-time data coordinator, providing accurate results from a single, authorized source.

Google ADK natively supports Baidu Analytics / 百度统计 as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Site Orchestration — List all registered sites and verify target Site ID configurations for precise data access.
Real-time Auditing — Retrieve immediate visitor metrics including Page Views (PV), Unique Visitors (UV), and online user counts.
Trend Analysis — Audit daily traffic trends and high-level performance summaries for specific date ranges.
Performance Auditing — Query page rankings, geographic distributions, and traffic source details.
Custom Reporting — Execute advanced queries on site data using flexible API methods and metrics.

The Baidu Analytics / 百度统计 MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Baidu Analytics / 百度统计 to Google ADK via MCP

Follow these steps to integrate the Baidu Analytics / 百度统计 MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from Baidu Analytics / 百度统计 via MCP

Why Use Google ADK with the Baidu Analytics / 百度统计 MCP Server

Google ADK provides unique advantages when paired with Baidu Analytics / 百度统计 through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Baidu Analytics / 百度统计

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Baidu Analytics / 百度统计 tools with BigQuery, Vertex AI, and Cloud Functions

Baidu Analytics / 百度统计 + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Baidu Analytics / 百度统计 MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Baidu Analytics / 百度统计 and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Baidu Analytics / 百度统计 tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Baidu Analytics / 百度统计 regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Baidu Analytics / 百度统计

Baidu Analytics / 百度统计 MCP Tools for Google ADK (8)

These 8 tools become available when you connect Baidu Analytics / 百度统计 to Google ADK via MCP:

get_daily_trend

Get daily traffic trend

get_geo_distribution

Get visitor geographic data

get_page_rankings

Get top visited pages

get_realtime_metrics

Get real-time statistics

get_source_data

g., search, direct). Get visitor sources

get_yesterday_overview

Get yesterday traffic summary

list_sites

List all analytics sites

query_custom_metrics

Execute custom report query

Example Prompts for Baidu Analytics / 百度统计 in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Baidu Analytics / 百度统计 immediately.

"Check the real-time visitor stats for my site."

"Show me the visitor trend for the last 7 days."

"List all sites in my Baidu Analytics account."

Troubleshooting Baidu Analytics / 百度统计 MCP Server with Google ADK

Common issues when connecting Baidu Analytics / 百度统计 to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Baidu Analytics / 百度统计 + Google ADK FAQ

Common questions about integrating Baidu Analytics / 百度统计 MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.