How to Use the LambdaTest MCP in AutoGen

Build a multi-agent team that debates and executes LambdaTest workflows with AutoGen.

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Connect LambdaTest MCP to AutoGen

Create your Vinkius account to connect LambdaTest to AutoGen 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 AutoGen

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Debate test results with multiple agents

One agent acts as the QA lead, calling `list_automation_builds` to find failures. A second agent, the debugger, requests `get_test_logs` for those specific builds. They discuss the findings together. If the logs are unclear, they request more info, ensuring a consensus before flagging a bug to your team.

Automate session status updates

The agents verify test outcomes by analyzing session details. They use `update_session_status` to record their findings back to the platform. This removes manual record-keeping. The agents handle the paperwork while you focus on fixing the code.

Coordinate cross-browser testing strategy

Use `list_supported_platforms` to have your agents decide which browsers to target for a specific feature. They negotiate the testing scope based on your requirements. This ensures you cover the right devices. The agents confirm the plan before executing the test suite.

Setup guide

Set up LambdaTest MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes LambdaTest tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="LambdaTest_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent LambdaTest data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="LambdaTest_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent LambdaTest data")
    print(result.messages[-1].content)

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 AutoGen

Agents can challenge each other's conclusions. This reduces the chance of missing a bug or misinterpreting a test failure.

They discuss the error and retry or adjust the parameters. They can also ask you for clarification if the issue persists.

The agents operate in your local environment. Your test logs and sensitive build data stay within your secure execution context.

You can set up a persistent watcher agent. It polls for new build results and alerts your primary agent when something goes wrong.

You define the system prompt for each agent. This controls how they interpret the output from your test tools.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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