Lancerkit MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Lancerkit as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="lancerkit_agent",
tools=tools,
system_message=(
"You help users with Lancerkit. "
"10 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 Lancerkit MCP Server
Connect Lancerkit to any AI agent via MCP.
How to Connect Lancerkit to AutoGen via MCP
Follow these steps to integrate the Lancerkit MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Lancerkit automatically
Why Use AutoGen with the Lancerkit MCP Server
AutoGen provides unique advantages when paired with Lancerkit through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Lancerkit tools to solve complex tasks
Role-based architecture lets you assign Lancerkit 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 Lancerkit tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Lancerkit tool responses in an isolated environment
Lancerkit + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Lancerkit MCP Server delivers measurable value.
Collaborative analysis: one agent queries Lancerkit while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Lancerkit, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Lancerkit data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Lancerkit responses in a sandboxed execution environment
Lancerkit MCP Tools for AutoGen (10)
These 10 tools become available when you connect Lancerkit to AutoGen via MCP:
get_client
Retrieve specific metadata of one single client
get_invoice
Retrieve data, payments, and billings for a specific invoice string ID
get_project
Get a single project details by ID
get_status
Examine account and integration connection status overall
get_time_logs
Check the recorded time logs for hours spent
list_clients
List all clients associated with the workspace
list_invoices
Fetch global invoice pipeline statistics
list_projects
List all standard projects
list_services
Fetch all specific billable service items configured online
list_tasks
Check current working tasks
Example Prompts for Lancerkit in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Lancerkit immediately.
"Draft an invoice for the Acme Corp redesign project."
"How many billable hours have I tracked this week?"
"Create a new project named Mobile App Development for Delta Tech."
Troubleshooting Lancerkit MCP Server with AutoGen
Common issues when connecting Lancerkit to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Lancerkit + AutoGen FAQ
Common questions about integrating Lancerkit MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Lancerkit with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lancerkit to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.