How to Use the Ezus MCP in CrewAI

Q: How do I filter Ezus tools for a specific CrewAI agent?

Use the toolfilter option in your agent setup. This ensures your research agent only gets read-only access to records.

Deploy autonomous travel teams using CrewAI and the Ezus MCP Server for specialized agent collaboration.

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Connect Ezus MCP to CrewAI

Create your Vinkius account to connect Ezus 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 Ezus with CrewAI

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CrewAI agents specializing in Ezus tasks

Assign one agent to audit supplier pricing using `list_suppliers` and another to manage client itineraries with `get_project`. They share context, meaning your booking agent knows exactly what the researcher found. It makes your operations faster and more accurate.

Shared memory for Ezus in CrewAI

Agents remember previous tool results during a session. If one agent fetches a client's history via `get_client`, the rest of the crew uses that info for personalized trip planning. This eliminates redundant API calls. It keeps your rate usage low while maintaining high-quality outputs.

Sequential Ezus operations for CrewAI

Set up a pipeline where a monitor agent checks `list_invoices` for overdue payments. If found, a moderator agent steps in to update the project status. This hands-off approach scales your agency's capacity. You define the roles, and the crew handles the grunt work.

Setup guide

Set up Ezus 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 Ezus tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Ezus 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="Ezus Analyst",
        goal="Access and analyze Ezus data via MCP.",
        backstory="Expert analyst with direct Ezus access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Ezus 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 Ezus. 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 Ezus MCP in CrewAI

Use the tool_filter option in your agent setup. This ensures your research agent only gets read-only access to records.

Yes. By sharing memory, agents collaborate effectively. One agent fetches the data, and the next one acts on it.

Pass the server URL directly into your Agent configuration. The framework handles the connection and tool registration.

You can structure your crew with managers and subordinates. The manager agent delegates specific lookups to the specialists.

Access is controlled via your endpoint token. Your private invoice and client data are never shared outside the sandbox environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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