Lamha MCP Server for AutoGenGive AutoGen instant access to 8 tools to Cancel Order, Check City Coverage, Create Order, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Lamha 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 Lamha app connector for AutoGen is a standout in the Productivity category — giving your AI agent 8 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="lamha_agent",
tools=tools,
system_message=(
"You help users with Lamha. "
"8 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 Lamha MCP Server
Connect your Lamha account to any AI agent and manage HR operations through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Lamha tools. Connect 8 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
- Employee Management — List employees, inspect profiles, and track status
- Attendance Tracking — Monitor check-in/out times and attendance records
- Department Browsing — Navigate organizational structure and departments
- Leave Management — Track leave requests, balances, and approvals
- Payroll Access — View payroll data and compensation details
The Lamha MCP Server exposes 8 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 8 Lamha tools available for AutoGen
When AutoGen connects to Lamha through Vinkius, your AI agent gets direct access to every tool listed below — spanning attendance-tracking, leave-management, payroll-management, 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.
Cancel an existing order
Check delivery coverage for a city
Create a new logistics order
Get details for a specific order
List delivery carriers
List product inventory
List Lamha orders
List warehouses
Connect Lamha to AutoGen via MCP
Follow these steps to wire Lamha 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 Lamha MCP Server
AutoGen provides unique advantages when paired with Lamha through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Lamha tools to solve complex tasks
Role-based architecture lets you assign Lamha 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 Lamha tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Lamha tool responses in an isolated environment
Lamha + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Lamha MCP Server delivers measurable value.
Collaborative analysis: one agent queries Lamha while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Lamha, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Lamha data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Lamha responses in a sandboxed execution environment
Example Prompts for Lamha in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Lamha immediately.
"Show all departments and today's attendance."
"Show pending leave requests and employee leave balances."
"Show payroll summary and employee details for the Engineering team."
Troubleshooting Lamha MCP Server with AutoGen
Common issues when connecting Lamha to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Lamha + AutoGen FAQ
Common questions about integrating Lamha MCP Server with AutoGen.