How to Use the UserStack User-Agent Lookup MCP in CrewAI

Q: How does UserStack User-Agent Lookup work within CrewAI? (CrewAI)

You pass the detectuseragent tool to your crew, letting a specialized agent use it. This ensures that all subsequent agents in the team have access to the detected device and browser details.

Q: Does the output of UserStack User-Agent Lookup change based on CrewAI transport?

No, the detectuseragent tool reliably extracts device and browser information regardless of whether you're using SSE or Streamable HTTP transports.

Run autonomous operations using UserStack User-Agent Lookup with CrewAI.

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Connect UserStack User-Agent Lookup MCP to CrewAI

Create your Vinkius account to connect UserStack User-Agent Lookup 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.

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Setup UserStack User-Agent Lookup with CrewAI

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Specialized agents analyze client context.

Your crew can assign specialized roles where one agent calls `detect_user_agent`. That tool output gives the whole team shared memory about the user's platform (OS, browser). The analyst agent then uses this detailed UA data to refine its research and provide highly accurate findings.

Monitor state across different device types.

The monitor agent watches the session while `detect_user_agent` runs. It ensures that if the user is on a mobile device, the subsequent action taken by the moderator agent accounts for screen size and platform limitations. This keeps autonomous operations running smoothly regardless of where the user accesses the service.

Build complex multi-step response chains.

You can sequence agents: Agent A gathers data, then passes the User-Agent string to `detect_user_agent`. Agent B takes that structured output and uses it for analysis. This creates a robust, step-by-step operation. The entire process runs autonomously without human intervention.

Setup guide

Set up UserStack User-Agent Lookup MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke UserStack User-Agent Lookup tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="UserStack User-Agent Lookup Analyst",
    goal="Access and analyze UserStack User-Agent Lookup data via MCP.",
    backstory="Expert analyst with direct UserStack User-Agent Lookup access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent UserStack User-Agent Lookup transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="UserStack User-Agent Lookup Analyst",
        goal="Access and analyze UserStack User-Agent Lookup data via MCP.",
        backstory="Expert analyst with direct UserStack User-Agent Lookup access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent UserStack User-Agent Lookup transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by UserStack. 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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Common questions about UserStack User-Agent Lookup MCP in CrewAI

You pass the `detect_user_agent` tool to your crew, letting a specialized agent use it. This ensures that all subsequent agents in the team have access to the detected device and browser details.

Yes. The tool feeds platform context into the shared memory of your crew, allowing multiple specialized agents to collaborate based on whether the user is accessing via desktop or mobile.

It provides structured details about the operating system and browser from the raw User-Agent string. This detailed context helps your autonomous operations make platform-specific decisions.

No, the `detect_user_agent` tool reliably extracts device and browser information regardless of whether you're using SSE or Streamable HTTP transports.

The server only handles the raw User-Agent header value, which contains identifiers for the browser and operating system. It doesn't process or store any private user account information.

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