How to Use the Avaza MCP in CrewAI

Deploy a CrewAI team to handle your Avaza project operations autonomously.

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Connect Avaza MCP to CrewAI

Create your Vinkius account to connect Avaza 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 Avaza with CrewAI

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Perplexity

CrewAI agents managing Avaza projects

Assign an agent to `list_projects` so it can track deadlines. A second agent can then use `create_task` to delegate work based on current capacity. This hierarchy allows your crew to manage the entire project lifecycle. It removes the need for you to manually move cards or assign owners.

Sync Avaza invoices via CrewAI

Let a finance-focused agent call `list_invoices` to monitor unpaid bills. It can draft follow-up tasks if it finds an account past its due date. Your crew stays on top of cash flow by constantly checking the state of your Avaza invoices. It turns a static list into a proactive alert system.

Validate Avaza connections with CrewAI

Use `get_account_check` as a pre-flight tool for your crew. If the connection fails, the agent pauses the mission and alerts you immediately. This ensures your autonomous agents never spin their wheels on bad data. It keeps your crew running only when the path to Avaza is clear.

Setup guide

Set up Avaza 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 Avaza tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Agents can use any of the 11 tools provided, from creating tasks to listing timesheets. You define the agent's role and give it access to the Avaza toolset via the agent config.

You pass the server URL directly into your agent definition. Once connected, your CrewAI agents can call Avaza functions as part of their sequential or hierarchical tasks.

Yes, you can expose any combination of the 11 tools to your crew. Whether it is listing projects or creating entries, your agents handle it based on their specific assignments.

You inject the Vinkius endpoint token into your environment variables. This token authenticates your crew's access to the Avaza server for every requested operation.

Your timesheet records are processed within the isolated Vinkius runtime. The server does not log your sensitive project hours, and the crew only accesses the data during the active execution of a task.

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