How do I find my Baota API Secret Key?

Log in to your Baota Panel, go to [Panel Settings] -> [API Interface], enable the API toggle, and you will see your API Secret Key (api_sk).

Why do I need to whitelist my IP?

Baota Panel requires all API callers to have their IP address explicitly whitelisted in the [API Interface] settings for security reasons. Without this, all requests will be blocked.

Can I check the system load in real-time?

Yes! Use the `get_system_total` tool to retrieve current CPU, RAM, and system load averages, allowing your agent to monitor server performance instantly.

Baota Panel / 宝塔面板 API MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Baota Panel / 宝塔面板 API
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Baota Panel / 宝塔面板 API through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "baota-panel-api": {
            "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 Baota Panel / 宝塔面板 API, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Baota Panel / 宝塔面板 API MCP Server

Empower your AI agent to orchestrate your server infrastructure with Baota Panel (宝塔面板), the dominant web hosting control panel in China. By connecting Baota to your agent, you transform complex server administration, website maintenance, and resource monitoring into a natural conversation. Your agent can instantly list managed websites, retrieve real-time system load, monitor database health, and even browse administrative logs without you ever needing to log in to the panel interface. Whether you are conducting a security audit or monitoring server performance, your agent acts as a real-time SRE assistant, keeping your infrastructure accurate and your services online.

LangChain's ecosystem of 500+ components combines seamlessly with Baota Panel / 宝塔面板 API through native MCP adapters. Connect 10 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 and retrieve detailed information about all websites managed by your Baota Panel.
Resource Monitoring — Get real-time system load, CPU usage, and RAM statistics to audit server health.
Database Management — List all databases and retrieve metadata for your data storage infrastructure.
Operational Auditing — Browse cron jobs, pending background tasks, and recent administrative logs.
Software Insights — List installed software and plugins (Nginx, PHP, MySQL) to ensure your stack is up-to-date.

The Baota Panel / 宝塔面板 API MCP Server exposes 10 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 Baota Panel / 宝塔面板 API to LangChain via MCP

Follow these steps to integrate the Baota Panel / 宝塔面板 API 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 10 tools from Baota Panel / 宝塔面板 API via MCP

Why Use LangChain with the Baota Panel / 宝塔面板 API MCP Server

LangChain provides unique advantages when paired with Baota Panel / 宝塔面板 API through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Baota Panel / 宝塔面板 API 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 Baota Panel / 宝塔面板 API queries for multi-turn workflows

Baota Panel / 宝塔面板 API + LangChain Use Cases

Practical scenarios where LangChain combined with the Baota Panel / 宝塔面板 API MCP Server delivers measurable value.

RAG with live data: combine Baota Panel / 宝塔面板 API tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Baota Panel / 宝塔面板 API, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Baota Panel / 宝塔面板 API tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Baota Panel / 宝塔面板 API tool call, measure latency, and optimize your agent's performance

Baota Panel / 宝塔面板 API MCP Tools for LangChain (10)

These 10 tools become available when you connect Baota Panel / 宝塔面板 API to LangChain via MCP:

get_disk_info

Get disk usage

get_network_info

Get network status

get_software_list

). List installed software

get_system_total

Get system load info

get_task_count

Get pending task count

list_cron_tasks

List cron jobs

list_databases

List databases

list_ftp

List FTP accounts

list_logs

List panel logs

list_sites

List websites

Example Prompts for Baota Panel / 宝塔面板 API in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Baota Panel / 宝塔面板 API immediately.

"Check the system resource usage on my server."

"List all websites managed by Baota."

"Show me the last 5 administrative logs."

Troubleshooting Baota Panel / 宝塔面板 API MCP Server with LangChain

Common issues when connecting Baota Panel / 宝塔面板 API to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Baota Panel / 宝塔面板 API + LangChain FAQ

Common questions about integrating Baota Panel / 宝塔面板 API MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.