How to Use the FareHarbor MCP in AutoGen
Let AutoGen agents debate availability and coordinate direct FareHarbor bookings autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FareHarbor MCP to AutoGen
Create your Vinkius account to connect FareHarbor 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 multi-agent bookings via AutoGen
The `create_booking` tool allows your AutoGen booking agent to execute reservations once the planning agent confirms availability. One agent checks the schedule using `list_availabilities_by_date` while a second agent verifies customer details before finalizing the booking. This division of labor prevents double-bookings and input errors. The agents debate the slot details, confirm the customer's lodging info via `list_lodgings`, and only call the booking tool when they reach consensus.
Resolve scheduling conflicts using AutoGen agents
The `get_availability` tool provides the exact slot metrics that your AutoGen agents need to negotiate alternative times when a tour is full. If a customer's preferred slot is closed, the coordination agent runs `list_availabilities_by_range` to find open options. The customer-facing agent then proposes these alternative times to the user. This conversational negotiation happens entirely within your multi-agent loop, keeping the booking process moving without human intervention.
Audit tour operations with an AutoGen MCP Server agent
This MCP Server exposes `list_bookings` to let an AutoGen auditing agent cross-reference recent reservations against your operational rules. The agent reviews recent booking payloads and flags any missing pickup locations or unassigned tour items. When the agent detects an issue, it calls `get_booking` to pull the complete record and alerts your ops team. You get an automated quality control system that monitors your booking flow in real time.
Set up FareHarbor 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 FareHarbor 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="FareHarbor_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent FareHarbor 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="FareHarbor_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent FareHarbor 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 FareHarbor. 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.
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Common questions about FareHarbor MCP in AutoGen
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