How to Use the Guidebook MCP in CrewAI

Q: How do I connect CrewAI agents to the Guidebook MCP Server?

You pass the Vinkius server URL directly into the mcps parameter when defining your CrewAI agents. The framework automatically discovers and exposes tools like listguides and getguide to your crew.

Q: How do I limit which Guidebook tools my CrewAI agents can use?

You can use the MCPServerHTTP class from CrewAI's MCP module and apply a toolfilter. This lets you restrict access, ensuring agents can only use listlocations and cannot modify guides.

Deploy a crew of specialized AI agents to manage your Guidebook schedules and attendee lists autonomously.

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Connect Guidebook MCP to CrewAI

Create your Vinkius account to connect Guidebook to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Guidebook with CrewAI

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Run Autonomous Event Crews with this MCP Server

Managing a large conference requires coordination across schedules, locations, and vendors. CrewAI lets you set up specialized agents that work together. One agent can monitor room availability using `list_locations`, while another updates the central schedule via `update_guide`. This multi-agent setup uses shared memory to keep everyone on the same page. If the location agent notices a conflict, it passes the data to the scheduling agent, which resolves it without human intervention.

Automate Exhibitor and Vendor Onboarding

Stop manually copy-pasting sponsor details into your guide. You can deploy an agent to parse incoming vendor emails, extract their booth info, and run `create_custom_list_item` to add them to the directory. Another agent can verify the entry using `list_custom_list_items`. This pipeline runs completely in the background. You get a clean, updated mobile app layout without spending hours editing custom lists one by one in a dashboard.

Monitor Attendee Engagement Live

Keep tabs on your conference crowd by running a dedicated monitoring crew. An analyst agent can query `list_attendees` to track registration numbers and check connectivity using `check_guidebook_status`. If the crew detects low engagement on specific tracks, they can query `list_events` to find underperforming sessions. The agents can then flag these sessions for promotion or suggest schedule adjustments to the event coordinator.

Setup guide

Set up Guidebook MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Guidebook tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Guidebook Analyst",
    goal="Access and analyze Guidebook data via MCP.",
    backstory="Expert analyst with direct Guidebook access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Guidebook transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Guidebook Analyst",
        goal="Access and analyze Guidebook data via MCP.",
        backstory="Expert analyst with direct Guidebook access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Guidebook transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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 CrewAI

You pass the Vinkius server URL directly into the `mcps` parameter when defining your CrewAI agents. The framework automatically discovers and exposes tools like `list_guides` and `get_guide` to your crew.

Yes. You can assign one agent to fetch session details using `get_event` and another to update the schedule using `update_guide`. They share context and work sequentially to keep your guide accurate.

You can use the `MCPServerHTTP` class from CrewAI's MCP module and apply a `tool_filter`. This lets you restrict access, ensuring agents can only use `list_locations` and cannot modify guides.

Yes. Once the workflow is solid, switch the URL to your live Vinkius MCP Server endpoint.

Absolutely. Vinkius secures all API communication using single-token authentication. Your custom list profiles, location data from `list_locations`, and guide settings are transmitted via encrypted tunnels and never exposed to public LLM training sets.

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