Guance Cloud / 观测云 MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Guance Cloud / 观测云 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"guance-cloud": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Guance Cloud / 观测云 Agent",
instructions:
"You help users interact with Guance Cloud / 观测云 " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Guance Cloud / 观测云?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Guance Cloud / 观测云 tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Guance Cloud / 观测云 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Guance Cloud / 观测云 via MCP
Why Use Mastra AI with the Guance Cloud / 观测云 MCP Server
Mastra AI provides unique advantages when paired with Guance Cloud / 观测云 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Guance Cloud / 观测云 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Guance Cloud / 观测云 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Guance Cloud / 观测云 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Guance Cloud / 观测云 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Guance Cloud / 观测云, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Guance Cloud / 观测云 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Guance Cloud / 观测云 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Guance Cloud / 观测云 tools alongside other MCP servers
Guance Cloud / 观测云 MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Guance Cloud / 观测云 to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Guance Cloud / 观测云 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGuance Cloud / 观测云 + Mastra AI FAQ
Common questions about integrating Guance Cloud / 观测云 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Guance Cloud / 观测云 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Purpose-built IDE for agentic AI coding workflows.
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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 Guance Cloud / 观测云 to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.