Tingyun / 听云 MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Tingyun / 听云 as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="tingyun_agent",
instruction=(
"You help users interact with Tingyun / 听云 "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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 Tingyun / 听云 MCP Server
Empower your AI agent to orchestrate your entire digital performance stack with Tingyun (听云), the premier APM and observability platform. By connecting Tingyun to your agent, you transform complex application monitoring, incident response, and performance auditing into a natural conversation. Your agent can instantly list monitored applications, retrieve real-time performance summaries, browse active alerts, and query specific metric data without you ever needing to navigate the Tingyun console. Whether you are troubleshooting a production bottleneck or auditing system health across a distributed architecture, your agent acts as a real-time site reliability assistant, keeping your performance data accurate and your systems responsive.
Google ADK natively supports Tingyun / 听云 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
- Application Orchestration — List all APM applications and retrieve detailed health and performance summaries.
- Incident Control — Monitor active alerts and browse alert policies to identify and respond to performance issues.
- Infrastructure Auditing — List application instances, external service calls, and database dependencies.
- Metric Querying — Retrieve specific metric data points for applications to analyze trends and anomalies.
- User Experience Insights — Browse Real User Monitoring (RUM) browser applications to audit frontend performance.
The Tingyun / 听云 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 Tingyun / 听云 to Google ADK via MCP
Follow these steps to integrate the Tingyun / 听云 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 Tingyun / 听云 via MCP
Why Use Google ADK with the Tingyun / 听云 MCP Server
Google ADK provides unique advantages when paired with Tingyun / 听云 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 Tingyun / 听云
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 Tingyun / 听云 tools with BigQuery, Vertex AI, and Cloud Functions
Tingyun / 听云 + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Tingyun / 听云 MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Tingyun / 听云 and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Tingyun / 听云 tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Tingyun / 听云 regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Tingyun / 听云
Tingyun / 听云 MCP Tools for Google ADK (10)
These 10 tools become available when you connect Tingyun / 听云 to Google ADK via MCP:
get_account_info
Get account metadata
get_app_summary
Get application summary
get_metrics
Query metric data
list_alert_policies
List alert policies
list_alerts
List active alerts
list_app_instances
List application instances
list_applications
List APM applications
list_browser_apps
List RUM browser applications
list_databases
List monitored databases
list_external_services
List external service calls
Example Prompts for Tingyun / 听云 in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Tingyun / 听云 immediately.
"List all applications monitored by Tingyun."
"Show me the performance summary for application ID 12345."
"Check for any critical alerts in Tingyun from today."
Troubleshooting Tingyun / 听云 MCP Server with Google ADK
Common issues when connecting Tingyun / 听云 to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTingyun / 听云 + Google ADK FAQ
Common questions about integrating Tingyun / 听云 MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Tingyun / 听云 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 Tingyun / 听云 to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
