Baidu Analytics / 百度统计 MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Baidu Analytics / 百度统计 as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Baidu Analytics / 百度统计. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Baidu Analytics / 百度统计?"
)
print(response)
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.
LlamaIndex agents combine Baidu Analytics / 百度统计 tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Baidu Analytics / 百度统计 MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Baidu Analytics / 百度统计
Why Use LlamaIndex with the Baidu Analytics / 百度统计 MCP Server
LlamaIndex provides unique advantages when paired with Baidu Analytics / 百度统计 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Baidu Analytics / 百度统计 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Baidu Analytics / 百度统计 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Baidu Analytics / 百度统计, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Baidu Analytics / 百度统计 tools were called, what data was returned, and how it influenced the final answer
Baidu Analytics / 百度统计 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Baidu Analytics / 百度统计 MCP Server delivers measurable value.
Hybrid search: combine Baidu Analytics / 百度统计 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Baidu Analytics / 百度统计 to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Baidu Analytics / 百度统计 for fresh data
Analytical workflows: chain Baidu Analytics / 百度统计 queries with LlamaIndex's data connectors to build multi-source analytical reports
Baidu Analytics / 百度统计 MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Baidu Analytics / 百度统计 to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Baidu Analytics / 百度统计 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBaidu Analytics / 百度统计 + LlamaIndex FAQ
Common questions about integrating Baidu Analytics / 百度统计 MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.