How to Use the Guesty MCP in AutoGen
Build multi-agent AutoGen teams to automate your Guesty property operations through consensus-driven decisions.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Guesty MCP to AutoGen
Create your Vinkius account to connect Guesty 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.
Coordinate cleaning crews with AutoGen
The `list_tasks` tool exposes Guesty operational work orders so your AutoGen agents can debate and assign duties. An AutoGen operations agent can call this tool while a scheduling agent cross-references Guesty booking dates. They collaborate via AutoGen's conversation loop to assign Guesty cleaning jobs based on check-out times retrieved from `get_reservation`. This ensures your Guesty properties are ready for guests on time without manual oversight from your AutoGen developers.
Run financial reviews with an MCP Server
The `get_listing_stats` tool provides live Guesty performance metrics for your AutoGen analyst agents to evaluate. Set up a dedicated AutoGen agent to pull these statistics using `get_accounting_stats` to identify low-performing Guesty properties. A second AutoGen agent can challenge these findings by checking Guesty listing details with `get_listing`. They work together to suggest Guesty pricing adjustments based on real data.
Handle guest disputes via multi-agent debate
The `list_messages` tool retrieves Guesty chat histories so your AutoGen agents can analyze and resolve guest disputes using our MCP server endpoints. One AutoGen agent retrieves the thread while another checks the Guesty guest profile via `list_guests`. They evaluate the Guesty guest's history and current reservation status inside your AutoGen conversation. Together, they agree on a resolution before presenting it to your Guesty team inside the AutoGen console.
Set up Guesty 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Guesty tools and returns structured results.
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="Guesty_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Guesty data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Guesty_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Guesty data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Guesty. 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.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Guesty MCP in AutoGen
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