Guance Cloud / 观测云 MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Guance Cloud / 观测云 as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Guance Cloud / 观测云. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Guance Cloud / 观测云?"
)
print(response)
asyncio.run(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.
LlamaIndex agents combine Guance Cloud / 观测云 tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Guance Cloud / 观测云 MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Guance Cloud / 观测云
Why Use LlamaIndex with the Guance Cloud / 观测云 MCP Server
LlamaIndex provides unique advantages when paired with Guance Cloud / 观测云 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Guance Cloud / 观测云 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Guance Cloud / 观测云 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Guance Cloud / 观测云, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Guance Cloud / 观测云 tools were called, what data was returned, and how it influenced the final answer
Guance Cloud / 观测云 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Guance Cloud / 观测云 MCP Server delivers measurable value.
Hybrid search: combine Guance Cloud / 观测云 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Guance Cloud / 观测云 to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Guance Cloud / 观测云 for fresh data
Analytical workflows: chain Guance Cloud / 观测云 queries with LlamaIndex's data connectors to build multi-source analytical reports
Guance Cloud / 观测云 MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Guance Cloud / 观测云 to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Guance Cloud / 观测云 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGuance Cloud / 观测云 + LlamaIndex FAQ
Common questions about integrating Guance Cloud / 观测云 MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Guance Cloud / 观测云 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 Guance Cloud / 观测云 to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.