How to Use the IQAir MCP in CrewAI
Deploy autonomous air quality research teams with CrewAI and this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IQAir MCP to CrewAI
Create your Vinkius account to connect IQAir to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Specialized research agents
Assign `get_city_air_quality` to a research agent in your CrewAI setup. While one agent gathers the data, another agent analyzes the trends. This role-based approach prevents bottlenecks. Your agents work in parallel to cover more cities efficiently.
Autonomous location discovery
Configure an agent to use `list_supported_cities` to build a database of targets for your other agents. CrewAI allows this agent to feed its findings to the rest of the crew. It turns a static list into an active research operation. Your agents stay updated without human intervention.
System health reporting
Set a moderator agent to run `check_api_status` periodically. If the connection drops, the agent alerts the team or pauses the operation. This prevents your crew from running into dead ends. It keeps the whole operation running smoothly.
Set up IQAir MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke IQAir tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="IQAir Analyst",
goal="Access and analyze IQAir data via MCP.",
backstory="Expert analyst with direct IQAir access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent IQAir transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="IQAir Analyst",
goal="Access and analyze IQAir data via MCP.",
backstory="Expert analyst with direct IQAir access.",
tools=mcp_tools,
)
task = Task(
description="List recent IQAir transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IQAir. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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Common questions about IQAir MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the IQAir MCP today
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