How to Use the LiftedWork MCP in AutoGen

Use AutoGen agents to debate and negotiate task assignments using real-time data from the LiftedWork platform.

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Connect LiftedWork MCP to AutoGen

Create your Vinkius account to connect LiftedWork 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 LiftedWork with AutoGen

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Perplexity

Debate tasks with AutoGen agents

Multiple agents can negotiate the best path for `create_task` entries. One agent might verify project requirements while another evaluates the timeline. This ensures your agency decisions are vetted by competing perspectives. The agents reach a consensus before executing any changes to your records.

Automate agency project management

You define agents that specialize in different parts of your agency workflow. One agent handles `list_clients` while another manages the project creation logic. These agents discuss the best approach to organize your data. They converge on a plan that aligns with your specific agency goals.

Negotiate resource allocation

Your agents can compare `list_projects` output against current time entries to identify bottlenecks. They negotiate who should take on new tasks based on capacity. This process eliminates manual scheduling. Your agents handle the heavy lifting of balancing your project load.

Setup guide

Set up LiftedWork 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 LiftedWork 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="LiftedWork_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="LiftedWork_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent LiftedWork 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 LiftedWork. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about LiftedWork MCP in AutoGen

You provide the tools to your agents, and they initiate a conversation. They share findings from `list_tasks` to verify project feasibility before acting.

Yes. By assigning different roles to your agents, you create a system where they challenge each other to find the most efficient project outcome.

Install the MCP extension for AutoGen and pass the server tools to your agents. They will use the schemas to understand how to interact with your data.

The server supports both stdio and HTTP. You pick the transport that fits your agent architecture best.

Every tool call is isolated within our V8 sandbox. Your sensitive agency data is never exposed to other processes or external actors.

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