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

Q: How do I add the Baidu Analytics / 百度统计 MCP Server to Claude Code?

Run claude mcp add --transport http baidu-analytics -- in your terminal. This registers the MCP server globally, allowing immediate terminal access.

Q: Can I pipe Baidu Analytics / 百度统计 data into other CLI tools using Claude Code?

Yes. You can ask Claude Code to run getdailytrend and pipe the resulting JSON directly into tools like jq, awk, or local bash scripts.

Q: Can I query specific custom metrics from the command line?

Yes. Use the querycustommetrics tool through Claude Code to run complex queries against your custom dimensions directly from your terminal.

Pipe Chinese web traffic metrics directly into your terminal workflows using this Claude Code MCP Server.

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Connect Baidu Analytics / 百度统计 MCP to Claude Code

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

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Query Chinese traffic metrics in terminal via this MCP Server

Stop leaving your terminal to check web traffic. With this MCP Server, Claude Code lets you query `get_realtime_metrics` directly from your shell to monitor active Chinese visitors during a major deployment. You can pipe the JSON output of `get_yesterday_overview` straight into grep or jq. This makes it incredibly easy to combine your Baidu data with your local server access logs to spot discrepancies.

Scripted cron jobs for traffic drops

Set up automated shell alerts when your Baidu Search traffic dips. Claude Code can run `get_source_data` and compare it against your historical averages from `get_daily_trend` to find anomalies. If the agent detects a significant drop in search traffic, it can trigger a Slack webhook or write a warning log to your server. No heavy monitoring infrastructure required.

Quick multi-site command-line audits

Audit all your Chinese web properties in seconds. Claude Code lists your active properties using `list_sites` and pulls regional traffic breakdowns via `get_geo_distribution` for each one. It can also run `query_custom_metrics` to compile a quick terminal table of your custom KPIs across all domains, saving you from navigating a slow web interface.

Setup guide

Set up Baidu Analytics / 百度统计 MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see baidu-analytics-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Baidu Analytics / 百度统计 transactions." It will automatically discover and invoke the available Baidu Analytics / 百度统计 tools.

Terminal

claude mcp add --transport http baidu-analytics-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Baidu Analytics / 百度统计 MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "baidu-analytics-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Claude Code

Run `claude mcp add --transport http baidu-analytics -- ` in your terminal. This registers the MCP server globally, allowing immediate terminal access.

Yes. You can ask Claude Code to run `get_daily_trend` and pipe the resulting JSON directly into tools like jq, awk, or local bash scripts.

You can write a shell script that invokes Claude Code with a specific prompt to check `get_realtime_metrics` and schedule it via crontab.

Yes. Use the `query_custom_metrics` tool through Claude Code to run complex queries against your custom dimensions directly from your terminal.

Yes, your API keys and traffic metrics are processed in memory within a zero-trust V8 sandbox. No analytical data is stored on external servers.

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