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

Q: Can AutoGen handle multiple Baidu Analytics / 百度统计 sites?

The agents can use listsites to inventory all connected properties. They then decide which site to audit based on the goals you set.

Let AutoGen agents debate and verify Baidu Analytics / 百度统计 data for better decision-making.

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Connect Baidu Analytics / 百度统计 MCP to AutoGen

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

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Debate Baidu Analytics / 百度统计 findings

Assign one agent to fetch data via `get_source_data` and another to verify the results. They discuss the data until they agree on the best interpretation of your site traffic. This stops your system from acting on incomplete numbers. The agents challenge each other's conclusions using the actual API output.

Automate Baidu Analytics / 百度统计 site audits

Use a team of agents to perform a full audit of your site performance. One agent calls `list_sites`, while the others drill down into `get_page_rankings` to find issues. They coordinate the whole process without you typing a command. It is a multi-agent system that handles the heavy lifting of site monitoring.

Negotiate Baidu Analytics / 百度统计 report focus

Set up a performance agent and a security agent to negotiate what metrics to prioritize. They use `query_custom_metrics` to find the balance between speed and data depth. Your agents resolve conflicting priorities through conversation. You get a consensus-driven report that covers all your requirements.

Setup guide

Set up Baidu Analytics / 百度统计 MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Baidu Analytics / 百度统计 tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Baidu Analytics / 百度统计_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Baidu Analytics / 百度统计 data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Baidu Analytics / 百度统计_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Baidu Analytics / 百度统计 data")
    print(result.messages[-1].content)

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 AutoGen

You pass the tool list to the agent constructor, and the adapter handles the schema mapping. The agents then call the analytics tools as part of their conversation.

The agents can use `list_sites` to inventory all connected properties. They then decide which site to audit based on the goals you set.

It does, because the tools are stateless and callable by any agent in the group. They can share the results of one tool call to inform the next agent's query.

Yes, every tool execution is recorded in the agent history. You can review the exact arguments passed to the analytics API and the response returned.

The system uses ephemeral sessions to prevent data leakage between agent conversations. Your analytics metrics are never stored on the server side, keeping the data flow private.

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