Baidu Analytics / 百度统计 MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Baidu Analytics / 百度统计 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Baidu Analytics / 百度统计 Assistant",
instructions=(
"You help users interact with Baidu Analytics / 百度统计. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Baidu Analytics / 百度统计"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 8 tools from Baidu Analytics / 百度统计 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Baidu Analytics / 百度统计, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Baidu Analytics / 百度统计 MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Baidu Analytics / 百度统计
Why Use OpenAI Agents SDK with the Baidu Analytics / 百度统计 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Baidu Analytics / 百度统计 through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Baidu Analytics / 百度统计 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Baidu Analytics / 百度统计 MCP Server delivers measurable value.
Automated workflows: build agents that query Baidu Analytics / 百度统计, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Baidu Analytics / 百度统计, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Baidu Analytics / 百度统计 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Baidu Analytics / 百度统计 to resolve tickets, look up records, and update statuses without human intervention
Baidu Analytics / 百度统计 MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Baidu Analytics / 百度统计 to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Baidu Analytics / 百度统计 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Baidu Analytics / 百度统计 + OpenAI Agents SDK FAQ
Common questions about integrating Baidu Analytics / 百度统计 MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Baidu Analytics / 百度统计 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Baidu Analytics / 百度统计 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
