How to Use the Guidebook MCP in AutoGen
Coordinate multiple AutoGen agents to debate, verify, and update your Guidebook mobile app content.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Guidebook MCP to AutoGen
Create your Vinkius account to connect Guidebook 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.
Multi-agent schedule conflict resolution
Let your agents debate scheduling logistics before pushing changes live. This Guidebook MCP Server lets your AutoGen agent run `list_sessions` to look for overlapping times, while a second agent uses `list_locations` to check room capacities. They negotiate the best slot to avoid attendee crowding. This collaborative approach ensures schedule updates are thoroughly checked. By calling `get_session`, the agents verify all dependencies are met before finalizing the agenda.
Automated speaker and sponsor verification with AutoGen
Updating speaker bios and sponsor lists requires careful review. An editorial agent can pull profiles using `list_speakers` and draft updates, while a compliance agent checks them against sponsor tiers retrieved via `list_custom_lists`. They must agree before any guide changes are approved. If a speaker has multiple sessions, the agents use `get_speaker` to ensure their profile remains consistent across every track. This prevents mismatched bio information on the mobile app.
Rate-conscious agent collaboration
High-frequency agent conversations can easily exhaust API limits. To prevent this, a coordinator agent can monitor `get_rate_limit` and instruct other agents to slow down their queries. This keeps your automated event management running smoothly without hitting API blocks. The coordinator agent schedules updates during low-traffic windows. This ensures critical tools like `get_guide` remain responsive when your team needs them most.
Set up Guidebook 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 Guidebook 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="Guidebook_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Guidebook 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="Guidebook_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Guidebook 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 Guidebook. 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 Guidebook MCP in AutoGen
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