LiftedWork MCP Server for AutoGenGive AutoGen instant access to 6 tools to Create Project, Create Task, List Clients, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add LiftedWork as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The LiftedWork app connector for AutoGen is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="liftedwork_agent",
tools=tools,
system_message=(
"You help users with LiftedWork. "
"6 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About LiftedWork MCP Server
Connect your LiftedWork account to any AI agent and manage staffing through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use LiftedWork tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Candidate Management — Browse candidates, inspect profiles, and track status
- Placement Tracking — Monitor active placements and contract details
- Job Listings — List open positions and their requirements
The LiftedWork MCP Server exposes 6 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 LiftedWork tools available for AutoGen
When AutoGen connects to LiftedWork through Vinkius, your AI agent gets direct access to every tool listed below — spanning staffing, candidate-management, job-listings, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new project
Pass task data as a JSON string. Create a new task
List all clients
List all projects
List all agency tasks
List all time tracking entries
Connect LiftedWork to AutoGen via MCP
Follow these steps to wire LiftedWork into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the LiftedWork MCP Server
AutoGen provides unique advantages when paired with LiftedWork through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use LiftedWork tools to solve complex tasks
Role-based architecture lets you assign LiftedWork tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive LiftedWork tool calls
Code execution sandbox: AutoGen agents can write and run code that processes LiftedWork tool responses in an isolated environment
LiftedWork + AutoGen Use Cases
Practical scenarios where AutoGen combined with the LiftedWork MCP Server delivers measurable value.
Collaborative analysis: one agent queries LiftedWork while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from LiftedWork, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using LiftedWork data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process LiftedWork responses in a sandboxed execution environment
Example Prompts for LiftedWork in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with LiftedWork immediately.
"Show open positions and candidate pipeline status."
"Show candidates for the Senior Developer role."
"Show active placements and contract details."
Troubleshooting LiftedWork MCP Server with AutoGen
Common issues when connecting LiftedWork to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"LiftedWork + AutoGen FAQ
Common questions about integrating LiftedWork MCP Server with AutoGen.