How to Use the Altoviz MCP in CrewAI

Q: How do I assign Altoviz tools to a CrewAI agent?

You can pass the Vinkius URL directly in the agent's mcps configuration array. CrewAI will automatically load the tools and make them available to that specific agent.

Q: Can I filter which billing tools my crew can execute?

Yes, by using the toolfilter option in CrewAI's MCP configuration, you can limit your agents to safe read-only tools. This prevents agents from accessing sensitive invoice details unless authorized.

Run multi-agent teams that analyze Altoviz sales, quotes, and product catalogs autonomously using CrewAI.

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Connect Altoviz MCP to CrewAI

Create your Vinkius account to connect Altoviz 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 Altoviz with CrewAI

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Collaborative Sales Analysis with CrewAI

The `list_products` and `list_sale_invoices` tools provide your CrewAI agents with the inventory and sales data they need to analyze trends. Assign specialized tasks to different agents in your crew. One agent can list products while another analyzes sales trends from Altoviz. They share a common memory, allowing them to collaborate on complex financial reports without manual coordination. Your MCP client handles the data flow behind the scenes.

Autonomous Supplier Audits via MCP Server

The `list_suppliers` tool pulls vendor records for autonomous supply chain audits. Set up a dedicated crew to audit your inventory and supply chain. Your CrewAI agents can call the tool to match active vendors against your product database. The crew runs autonomously, flags discrepancies, and compiles list summaries.

Automated Customer Health Checks

The `get_customer_details` tool pulls customer metadata so your agents can check account balances autonomously. Keep tabs on your accounts receivable without manual searching. A CrewAI moderator agent can pull customer data and check their outstanding balances. If an account has unpaid invoices, the agent escalates the issue to a specialized collection agent.

Setup guide

Set up Altoviz 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 Altoviz tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You can pass the Vinkius URL directly in the agent's `mcps` configuration array. CrewAI will automatically load the tools and make them available to that specific agent.

Yes, you can expose the tools to your entire crew or restrict them to specialized agents. For example, your researcher agent can use `list_products` while your analyst agent uses `list_sale_quotes`.

Yes, CrewAI supports Streamable HTTP, SSE, and stdio transports. You can use the `MCPServerHTTP` class for advanced setups or simply pass the HTTPS endpoint.

Yes, by using the `tool_filter` option in CrewAI's MCP configuration, you can limit your agents to safe read-only tools. This prevents agents from accessing sensitive invoice details unless authorized.

All customer metadata and supplier profiles are processed within Vinkius's secure, zero-trust V8 sandbox. The MCP server ensures no business data is persistently stored, keeping your financial records safe from leaks.

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