Tomorrow.io Extended MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Tomorrow.io Extended as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Tomorrow.io Extended. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in Tomorrow.io Extended?"
)
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 Tomorrow.io Extended MCP Server
Equip your AI agent with the world's most accurate weather intelligence via Tomorrow.io. This integration provides your agent with real-time access to hyper-local weather conditions, minute-by-minute forecasts, and deep atmospheric data. Your agent can instantly check the current temperature, audit historical trends, and monitor air quality levels without you ever touching a weather app. Whether you are planning logistics or managing outdoor operations, your agent acts as a dedicated meteorologist, ensuring your decisions are always guided by precise environmental data.
LlamaIndex agents combine Tomorrow.io Extended tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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
- Realtime Conditions — Access current weather data including temperature, humidity, and wind speed for any location.
- Forecast Auditing — Retrieve detailed weather forecasts with customizable timesteps (1m, 1h, 1d).
- Historical Trends — Fetch recent weather history to analyze environmental patterns over the last 24 hours.
- Air Quality Monitoring — Monitor pollution levels and air quality indices to ensure safe environmental conditions.
- Weather Alerts — Stay updated on active weather warnings and alerts issued for specific geographic areas.
The Tomorrow.io Extended MCP Server exposes 5 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 Tomorrow.io Extended to LlamaIndex via MCP
Follow these steps to integrate the Tomorrow.io Extended 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 5 tools from Tomorrow.io Extended
Why Use LlamaIndex with the Tomorrow.io Extended MCP Server
LlamaIndex provides unique advantages when paired with Tomorrow.io Extended through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Tomorrow.io Extended tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Tomorrow.io Extended tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Tomorrow.io Extended, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Tomorrow.io Extended tools were called, what data was returned, and how it influenced the final answer
Tomorrow.io Extended + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Tomorrow.io Extended MCP Server delivers measurable value.
Hybrid search: combine Tomorrow.io Extended real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Tomorrow.io Extended 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 Tomorrow.io Extended for fresh data
Analytical workflows: chain Tomorrow.io Extended queries with LlamaIndex's data connectors to build multi-source analytical reports
Tomorrow.io Extended MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect Tomorrow.io Extended to LlamaIndex via MCP:
get_air_quality
Get air quality data
get_realtime_weather
Get realtime weather data
get_recent_history
Get recent weather history
get_weather_forecast
Get weather forecast
list_weather_alerts
List weather alerts
Example Prompts for Tomorrow.io Extended in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Tomorrow.io Extended immediately.
"What's the current weather in London?"
"Give me the hourly forecast for San Francisco."
"How is the air quality in Beijing today?"
Troubleshooting Tomorrow.io Extended MCP Server with LlamaIndex
Common issues when connecting Tomorrow.io Extended to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTomorrow.io Extended + LlamaIndex FAQ
Common questions about integrating Tomorrow.io Extended 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 Tomorrow.io Extended 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 Tomorrow.io Extended to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.