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 CrewAI 8 tools — connect in under 2 minutes

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

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Baidu Analytics / 百度统计 through Vinkius, pass the Edge URL in the `mcps` parameter and every Baidu Analytics / 百度统计 tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Baidu Analytics / 百度统计 Specialist",
    goal="Help users interact with Baidu Analytics / 百度统计 effectively",
    backstory=(
        "You are an expert at leveraging Baidu Analytics / 百度统计 tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Baidu Analytics / 百度统计 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Baidu Analytics / 百度统计 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Baidu Analytics / 百度统计 tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Baidu Analytics / 百度统计

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

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Baidu Analytics / 百度统计 through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Baidu Analytics / 百度统计 + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Baidu Analytics / 百度统计 for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Baidu Analytics / 百度统计, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Baidu Analytics / 百度统计 tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Baidu Analytics / 百度统计 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

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

These 8 tools become available when you connect Baidu Analytics / 百度统计 to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Baidu Analytics / 百度统计 + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.