Landbot MCP Server for AutoGenGive AutoGen instant access to 12 tools to Get Account Info, Get Customer Details, Handoff To Agent, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Landbot 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 Landbot app connector for AutoGen is a standout in the Customer Support category — giving your AI agent 12 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="landbot_alternative_agent",
tools=tools,
system_message=(
"You help users with Landbot. "
"12 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 Landbot MCP Server
Connect your Landbot account to any AI agent and manage chatbots through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Landbot tools. Connect 12 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
- Bot Management — List bots, inspect configurations, and track performance
- Conversation Tracking — Browse conversations, read messages, and send replies
- Customer Database — List customers with engagement data and conversation history
- Flow Monitoring — Track chatbot flows and their conversion metrics
- Channel Management — Monitor WhatsApp, Web, and API channels
- Analytics — Access conversation metrics, response rates, and bot performance
The Landbot MCP Server exposes 12 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 12 Landbot tools available for AutoGen
When AutoGen connects to Landbot through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot, conversational-marketing, lead-capture, 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.
Check API status
Get user profile
Assign to human
List available bots
List chatbot users
Get event configs
List support agents
Send chat image
Send chat message
Send WA template
Start bot flow
Set user property
Connect Landbot to AutoGen via MCP
Follow these steps to wire Landbot 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 Landbot MCP Server
AutoGen provides unique advantages when paired with Landbot through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Landbot tools to solve complex tasks
Role-based architecture lets you assign Landbot 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 Landbot tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Landbot tool responses in an isolated environment
Landbot + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Landbot MCP Server delivers measurable value.
Collaborative analysis: one agent queries Landbot while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Landbot, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Landbot data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Landbot responses in a sandboxed execution environment
Example Prompts for Landbot in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Landbot immediately.
"Show all bots with conversation counts and the latest customer conversations."
"Show the conversation flow and analytics for the Lead Qualifier bot."
"List all customers and send a reply to Ana's conversation."
Troubleshooting Landbot MCP Server with AutoGen
Common issues when connecting Landbot to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Landbot + AutoGen FAQ
Common questions about integrating Landbot MCP Server with AutoGen.