How to Use the LambdaTest MCP in CrewAI

Q: How do CrewAI agents collaborate to debug a LambdaTest failure?

One agent uses listtestsessions to find failures, while another calls gettestlogs to analyze the console output. They share this data in their common memory space to diagnose the issue.

Deploy a crew of specialized AI agents to monitor, diagnose, and repair your LambdaTest automation runs autonomously.

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Connect LambdaTest MCP to CrewAI

Create your Vinkius account to connect LambdaTest 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 LambdaTest with CrewAI

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Multi-agent QA triage teams using CrewAI

`list_test_sessions` allows your lead CrewAI agent to monitor the active testing queue for failures. When a broken session is spotted, the lead agent assigns the diagnostic task to a specialized QA agent. This secondary agent calls `get_session_details` to pull the precise execution state. The team collaborates to find the root cause without interrupting your human engineers.

Automated log auditing via this MCP Server

`get_test_logs` feeds raw execution data directly into your specialized analysis agent. The CrewAI agent parses the log files to match failures against known environment issues. Once the audit is complete, the agent writes a markdown summary. This gives your development team a clear explanation of why the test failed and how to fix it.

Autonomous test status management

`update_session_status` lets your coordinator agent mark tests as resolved once the diagnostic crew verifies the fix. This keeps your remote dashboards accurate without requiring manual intervention from developers. By automating this step, your pipeline remains green. The crew handles the tedious work of updating test states through the MCP Server so you can focus on writing features.

Setup guide

Set up LambdaTest 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 LambdaTest tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent LambdaTest 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="LambdaTest Analyst",
        goal="Access and analyze LambdaTest data via MCP.",
        backstory="Expert analyst with direct LambdaTest access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent LambdaTest 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 LambdaTest. 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 LambdaTest MCP in CrewAI

One agent uses `list_test_sessions` to find failures, while another calls `get_test_logs` to analyze the console output. They share this data in their common memory space to diagnose the issue.

Yes, you can use a tool filter when registering the MCP Server with CrewAI. This lets you restrict access to sensitive operations like `update_session_status` while allowing read-only tools.

Pass the MCP Server URL to your agent's configuration. The agent will automatically call `list_automation_builds` to retrieve the active pipeline history.

Yes, CrewAI can run multiple agents concurrently, each calling `get_session_details` for different runs. The Vinkius sandbox ensures these requests are handled efficiently without bottlenecks.

All session logs and build details are processed inside ephemeral, zero-trust environments. Vinkius handles the credentials securely, preventing your private keys from being exposed to the agent crew.

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