Baidu Analytics / 百度统计 MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Baidu Analytics / 百度统计 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"baidu-analytics": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Baidu Analytics / 百度统计, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Baidu Analytics / 百度统计 through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Baidu Analytics / 百度统计 MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from Baidu Analytics / 百度统计 via MCP
Why Use LangChain with the Baidu Analytics / 百度统计 MCP Server
LangChain provides unique advantages when paired with Baidu Analytics / 百度统计 through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Baidu Analytics / 百度统计 MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Baidu Analytics / 百度统计 queries for multi-turn workflows
Baidu Analytics / 百度统计 + LangChain Use Cases
Practical scenarios where LangChain combined with the Baidu Analytics / 百度统计 MCP Server delivers measurable value.
RAG with live data: combine Baidu Analytics / 百度统计 tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Baidu Analytics / 百度统计, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Baidu Analytics / 百度统计 tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Baidu Analytics / 百度统计 tool call, measure latency, and optimize your agent's performance
Baidu Analytics / 百度统计 MCP Tools for LangChain (8)
These 8 tools become available when you connect Baidu Analytics / 百度统计 to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Baidu Analytics / 百度统计 to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersBaidu Analytics / 百度统计 + LangChain FAQ
Common questions about integrating Baidu Analytics / 百度统计 MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.