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

Q: How do I add Baidu Analytics / 百度统计 tools to a CrewAI agent?

You pass our hosted MCP endpoint URL directly into the mcps list when initializing your agent. CrewAI automatically discovers tools like getrealtimemetrics and makes them available to that specific agent.

Q: Does CrewAI support selective tool exposure for the Baidu Analytics / 百度统计 MCP Server?

Yes, you can use MCPServerHTTP from crewai.mcp with a toolfilter. This allows you to restrict certain agents to only read-only tools like getyesterdayoverview while blocking custom query tools.

Q: How do agents handle multiple Chinese web properties?

Your crew can use listsites to retrieve all tracking IDs associated with your account. A dedicated coordinator agent can then distribute these IDs to other agents to run parallel reports.

Deploy autonomous CrewAI agent teams to monitor, analyze, and report on Chinese traffic trends using Baidu Analytics.

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Connect Baidu Analytics / 百度统计 MCP to CrewAI

Create your Vinkius account to connect Baidu Analytics / 百度统计 to CrewAI 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 CrewAI

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Run multi-agent CrewAI audits on Chinese traffic

Assign specialized tasks to different agents in your crew. Your researcher agent can call `get_source_data` to identify organic search trends, while your analyst agent uses `get_page_rankings` to pinpoint which landing pages are converting Chinese visitors. They share context and work in sequence to build a complete picture of your performance. You do not need to write glue code; CrewAI handles the passing of tool outputs between your custom agents automatically.

Monitor real-time performance with a dedicated moderator

Set up a continuous CrewAI monitoring loop where one agent watches your Baidu metrics and another takes action. By connecting this MCP server, the monitoring agent calls `get_realtime_metrics` to track active sessions on your Chinese sites. If a sudden traffic spike occurs on your Baidu property, it alerts the moderator agent. The moderator agent then calls `get_geo_distribution` to see where the traffic surge is coming from. This autonomous CrewAI coordination happens without human intervention, letting your team respond to viral trends in China instantly.

Generate daily performance summaries on autopilot

Let your crew draft your daily traffic reports every morning. A coordinator agent queries `get_yesterday_overview` and `get_daily_trend` to compile the previous day's data, comparing it to the weekly average. It then formats a clean summary for your team. By using `list_sites`, the crew can automatically loop through all your registered domains. You get a unified, multi-site summary delivered straight to your internal channels without manually exporting CSVs from China.

Setup guide

Set up Baidu Analytics / 百度统计 MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Baidu Analytics / 百度统计 tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Baidu Analytics / 百度统计 Analyst",
    goal="Access and analyze Baidu Analytics / 百度统计 data via MCP.",
    backstory="Expert analyst with direct Baidu Analytics / 百度统计 access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Baidu Analytics / 百度统计 transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Baidu Analytics / 百度统计 Analyst",
        goal="Access and analyze Baidu Analytics / 百度统计 data via MCP.",
        backstory="Expert analyst with direct Baidu Analytics / 百度统计 access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Baidu Analytics / 百度统计 transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

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 CrewAI

You pass our hosted MCP endpoint URL directly into the `mcps` list when initializing your agent. CrewAI automatically discovers tools like `get_realtime_metrics` and makes them available to that specific agent.

Yes, CrewAI agents share a common memory space. When your researcher agent calls `get_source_data`, the analyst agent can access those results to perform deeper queries using `query_custom_metrics`.

Yes, you can use `MCPServerHTTP` from `crewai.mcp` with a `tool_filter`. This allows you to restrict certain agents to only read-only tools like `get_yesterday_overview` while blocking custom query tools.

Your crew can use `list_sites` to retrieve all tracking IDs associated with your account. A dedicated coordinator agent can then distribute these IDs to other agents to run parallel reports.

All credentials are held in a secure, isolated V8 sandbox that runs entirely in memory. Your private Chinese visitor IP geolocations and page views are never logged or stored on our servers, ensuring strict enterprise compliance.

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