How to Use the Baota Panel / 宝塔面板 API MCP in Google ADK

Manage your Baota Panel / 宝塔面板 API infrastructure inside the Google ADK using Gemini long-context reasoning.

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Connect Baota Panel / 宝塔面板 API MCP to Google ADK

Create your Vinkius account to connect Baota Panel / 宝塔面板 API to Google ADK 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 Baota Panel / 宝塔面板 API with Google ADK

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Long-context server audits with Google ADK

The Google ADK connects your Gemini agents to `list_logs` and `list_sites` for deep diagnostic analysis across massive token windows. Your agent digests months of raw server logs alongside your active website lists to find hidden performance bottlenecks. By feeding this data directly into Gemini's long-context window, the agent spots long-term trends that short-context models miss. You get a complete operational history without having to manually parse text files.

BigQuery correlation with this MCP Server

This MCP Server lets you feed live metrics from `get_system_total` and `get_network_info` straight into your Google Cloud BigQuery datasets. Your Google ADK agent pulls current server loads, compares them with historical cloud data, and predicts when you need to scale. You can write simple Python scripts that trigger these checks automatically. The agent uses the returned data to update your enterprise dashboard, keeping your infrastructure metrics aligned with your business data.

Automated resource tracking and cron management

The `get_disk_info` and `list_cron_tasks` tools allow your Google ADK agent to audit storage and scheduled jobs across your entire server. Your agent checks disk usage, identifies large directories, and verifies that your cron jobs are running on schedule. If disk space runs low, the agent can cross-reference active cron tasks to see if backup scripts are failing. This tight integration ensures your server maintenance tasks execute without wasting valuable storage space.

Setup guide

Set up Baota Panel / 宝塔面板 API MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Baota Panel / 宝塔面板 API tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Baota Panel / 宝塔面板 API_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Baota Panel / 宝塔面板 API tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Baota Panel / 宝塔面板 API. 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 Baota Panel / 宝塔面板 API MCP in Google ADK

Use the toolset class with the HTTP transport parameters pointing to your Vinkius endpoint. Pass this toolset to your agent instance to expose the tools to Gemini.

Yes, you can use the optional tool name filter when defining your toolset. This lets you expose only specific tools like `get_network_info` while hiding sensitive database tools on this MCP Server.

Gemini's massive context window easily processes the large text blocks returned by `list_logs`. The agent can analyze thousands of log lines at once to diagnose complex server issues.

Yes, Vinkius hosts the server as a streamable HTTP endpoint, which the ADK connects to using its standard HTTP transport layer. This eliminates the need to manage local node or python runtimes on your client machine.

Your panel access credentials and database lists are encrypted at rest and only used to authenticate requests to your panel API. The server executes in an ephemeral Vinkius MCP Server sandbox, ensuring no configuration data is cached or exposed to external networks.

Use it with your favorite AI tools

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