Caiyun Weather / 彩云天气 MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Caiyun Weather / 彩云天气 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 Caiyun Weather / 彩云天气. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Caiyun Weather / 彩云天气?"
)
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 Caiyun Weather / 彩云天气 MCP Server
Empower your AI agent to orchestrate your environmental monitoring and high-precision weather forecasting with Caiyun Weather (彩云天气), the pioneer of minute-level precipitation forecasting in China. By connecting Caiyun to your agent, you transform complex meteorological data, air quality auditing, and long-term forecasts into a natural conversation. Your agent can instantly retrieve real-time conditions for any coordinate, provide hyper-local rain alerts for the next two hours, and audit historical or forecast trends without you ever needing to navigate a weather map. Whether you are planning outdoor logistics or monitoring air quality for retail branches, your agent acts as a real-time environmental coordinator, providing accurate and fast results from a single, authorized source.
LlamaIndex agents combine Caiyun Weather / 彩云天气 tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Minute-Precision Rain — Access hyper-local precipitation forecasts for the next 120 minutes with high resolution.
- Real-time Auditing — Retrieve current temperature, humidity, visibility, and wind conditions for specific coordinates.
- Air Quality Monitoring — Access real-time AQI and pollutant data (PM2.5, PM10) across mainland China.
- Long-term Forecasting — Retrieve detailed hourly and daily weather trends for up to 15 days.
- Geographic Flexibility — Query any location using Longitude,Latitude (GCJ-02) or administrative codes.
The Caiyun Weather / 彩云天气 MCP Server exposes 8 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 Caiyun Weather / 彩云天气 to LlamaIndex via MCP
Follow these steps to integrate the Caiyun Weather / 彩云天气 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 8 tools from Caiyun Weather / 彩云天气
Why Use LlamaIndex with the Caiyun Weather / 彩云天气 MCP Server
LlamaIndex provides unique advantages when paired with Caiyun Weather / 彩云天气 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Caiyun Weather / 彩云天气 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Caiyun Weather / 彩云天气 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Caiyun Weather / 彩云天气, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Caiyun Weather / 彩云天气 tools were called, what data was returned, and how it influenced the final answer
Caiyun Weather / 彩云天气 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Caiyun Weather / 彩云天气 MCP Server delivers measurable value.
Hybrid search: combine Caiyun Weather / 彩云天气 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Caiyun Weather / 彩云天气 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 Caiyun Weather / 彩云天气 for fresh data
Analytical workflows: chain Caiyun Weather / 彩云天气 queries with LlamaIndex's data connectors to build multi-source analytical reports
Caiyun Weather / 彩云天气 MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Caiyun Weather / 彩云天气 to LlamaIndex via MCP:
get_aqi_info
Get air quality index
get_daily_forecast
Get daily weather forecast
get_hourly_forecast
Get hourly weather forecast
get_minutely_rain
Get minute-precision rain
get_precipitation_probability
Check rain probability
get_realtime_weather
Get real-time weather
get_visibility_data
Get visibility distance
get_wind_conditions
Get wind speed and direction
Example Prompts for Caiyun Weather / 彩云天气 in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Caiyun Weather / 彩云天气 immediately.
"What is the real-time weather at coordinates 121.47,31.23 (Shanghai)?"
"Will it rain in the next 2 hours at 116.40,39.90 (Beijing)?"
"Check the air quality index for coordinates 113.26,23.12 (Guangzhou)."
Troubleshooting Caiyun Weather / 彩云天气 MCP Server with LlamaIndex
Common issues when connecting Caiyun Weather / 彩云天气 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCaiyun Weather / 彩云天气 + LlamaIndex FAQ
Common questions about integrating Caiyun Weather / 彩云天气 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 Caiyun Weather / 彩云天气 with your favorite client
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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 Caiyun Weather / 彩云天气 to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.