How do I find my Guance Cloud API Key?

Log in to your Guance Cloud workspace, navigate to [Management] → [API Key Management], and generate a new key. Use the provided value as your DF-API-KEY.

Data Query Language (DQL) is the query syntax used by Guance Cloud to retrieve metrics, logs, and other observability data. You can use the `query_data` tool to execute these statements.

Can I check my data usage via the agent?

Yes. Use the `get_billing` tool to retrieve current data usage and billing statistics for your workspace, helping you manage costs and resource allocation.

Guance Cloud / 观测云 MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Guance Cloud / 观测云
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Guance Cloud / 观测云 as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="guance_cloud_agent",
    instruction=(
        "You help users interact with Guance Cloud / 观测云 "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Guance Cloud / 观测云 MCP Server

Empower your AI agent to orchestrate your entire observability stack with Guance Cloud (观测云), the leading next-generation monitoring platform. By connecting Guance Cloud to your agent, you transform complex system monitoring, log analysis, and incident response into a natural conversation. Your agent can instantly list your monitors, retrieve detailed dashboard configurations, browse system events, and even execute Data Query Language (DQL) statements without you ever needing to navigate the Guance console. Whether you are troubleshooting a production outage or auditing resource usage, your agent acts as a real-time site reliability assistant, keeping your infrastructure data accurate and your systems healthy.

Google ADK natively supports Guance Cloud / 观测云 as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Workspace Orchestration — Retrieve detailed metadata and status information for your Guance Cloud workspace.
Monitoring Control — List and retrieve detailed configurations for all system monitors and alert rules.
Event Auditing — Browse real-time observability events, including alerts, errors, and system changes.
Data Querying — Execute powerful DQL statements to retrieve specific metrics and logging data via natural language.
Operations Insights — Monitor billing usage and manage API access keys for your organizational infrastructure.

The Guance Cloud / 观测云 MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 Guance Cloud / 观测云 to Google ADK via MCP

Follow these steps to integrate the Guance Cloud / 观测云 MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Guance Cloud / 观测云 via MCP

Why Use Google ADK with the Guance Cloud / 观测云 MCP Server

Google ADK provides unique advantages when paired with Guance Cloud / 观测云 through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Guance Cloud / 观测云

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Guance Cloud / 观测云 tools with BigQuery, Vertex AI, and Cloud Functions

Guance Cloud / 观测云 + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Guance Cloud / 观测云 MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Guance Cloud / 观测云 and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Guance Cloud / 观测云 tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Guance Cloud / 观测云 regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Guance Cloud / 观测云

Guance Cloud / 观测云 MCP Tools for Google ADK (10)

These 10 tools become available when you connect Guance Cloud / 观测云 to Google ADK via MCP:

get_billing

Get billing usage

get_event

Get event details

get_monitor

Get monitor details

get_workspace

Get workspace information

list_access_keys

List workspace access keys

list_dashboards

List all dashboards

list_events

) from the workspace. List observability events

list_log_sources

List log data sources

list_monitors

List all monitors

query_data

Query Guance data (DQL)

Example Prompts for Guance Cloud / 观测云 in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Guance Cloud / 观测云 immediately.

"List all active monitors in Guance Cloud."

"Show me recent events from the last hour."

"Query average CPU usage using DQL."

Troubleshooting Guance Cloud / 观测云 MCP Server with Google ADK

Common issues when connecting Guance Cloud / 观测云 to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Guance Cloud / 观测云 + Google ADK FAQ

Common questions about integrating Guance Cloud / 观测云 MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.