How to Use the Baidu Analytics / 百度统计 MCP in OpenAI Agents SDK

Q: How do I connect the Baidu Analytics / 百度统计 MCP Server to the OpenAI Agents SDK?

Install the openai-agents package via pip. Initialize MCPServerStreamableHttp with your Vinkius endpoint URL and pass it in the mcpservers list when creating your Agent. Tools auto-discover immediately.

Q: Can OpenAI Agents SDK monitor live traffic on Baidu Analytics / 百度统计?

Yes, the agent can call getrealtimemetrics on a schedule. You set up guardrails to alert a human operator only if active visitors drop below a specific threshold.

Q: Which tools are best for daily reporting workflows?

Start with getyesterdayoverview for the baseline numbers. Your agent should then call getdailytrend and getpagerankings to build a complete picture of the previous day's performance.

Build production-ready analytics workflows using the Baidu Analytics MCP Server and OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Baidu Analytics / 百度统计 MCP to OpenAI Agents SDK

Create your Vinkius account to connect Baidu Analytics / 百度统计 to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Baidu Analytics / 百度统计 with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Connect Baidu Analytics to OpenAI Agents SDK

The `baidu-analytics-mcp` server feeds real traffic data directly into your deployed agents. Passing the MCP Server connection to your agent constructor exposes eight distinct operations immediately. You get full visibility into every request via the OpenAI dashboard tracing. Setting up specific agents to handle different reporting tasks works well here. One agent calls `get_realtime_metrics` to monitor active spikes, while another uses `query_custom_metrics` to generate weekly executive summaries. Built-in guardrails catch bad queries before they hit the Baidu API.

Audit Traffic Sources Automatically

Automated traffic auditing replaces manual reporting hours using direct API pulls. This MCP Server lets your agent pull exact numbers directly from the source. Firing `get_source_data` returns the split between search, direct, and referral traffic without opening a browser tab. You chain these calls together for deeper insights. Grab the high-level view with `get_yesterday_overview`, then drill down into specific traffic patterns using `get_daily_trend`. The agent handles the API pagination and formatting behind the scenes.

Map Visitor Geographic Distribution

Geographic mapping tools break down your Chinese audience origins by province and city. The `get_geo_distribution` tool gives your agent the raw provincial breakdown. Combine this with `list_sites` to compare regional performance across your entire portfolio. Finding out what those users actually read is the next step. Calling `get_page_rankings` pulls the top visited URLs for any given timeframe. Your agent cross-references these geographic stats with page popularity to suggest targeted regional campaigns.

Setup guide

Set up Baidu Analytics / 百度统计 MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Baidu Analytics / 百度统计 tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Baidu Analytics / 百度统计 tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Baidu Analytics / 百度统计 tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Baidu Analytics / 百度统计 Agent",
            instructions="You have access to Baidu Analytics / 百度统计 tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Baidu Analytics / 百度统计 now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Baidu Analytics / 百度统计 MCP in OpenAI Agents SDK

Install the `openai-agents` package via pip. Initialize `MCPServerStreamableHttp` with your Vinkius endpoint URL and pass it in the `mcp_servers` list when creating your Agent. Tools auto-discover immediately.

Yes, the agent can call `get_realtime_metrics` on a schedule. You set up guardrails to alert a human operator only if active visitors drop below a specific threshold.

The OpenAI Agents SDK handles retries based on your configuration. If the limit persists, the agent hands off the task to a fallback agent or pauses execution while logging the error in your tracing dashboard.

Start with `get_yesterday_overview` for the baseline numbers. Your agent should then call `get_daily_trend` and `get_page_rankings` to build a complete picture of the previous day's performance.

The MCP Server runs inside a V8 Isolate Sandbox that destroys itself after the request finishes. Your site IDs, visitor counts, and page URLs pass straight through the ephemeral environment to your OpenAI client without ever being stored on our disks.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript