How to Use the Nue.io Revenue MCP in CrewAI

Q: Can CrewAI agents update product pricing using Nue.io Revenue?

The crew can read pricing configurations using listproductpricetags and identify discrepancies. While this server is read-focused, your agents use this data to draft price updates and flag them for human approval.

Q: How does the Nue.io Revenue MCP Server prevent data mismatches in CrewAI?

The listmetadatasourceobjects tool provides the exact mapping schemas to your agents. CrewAI uses this shared memory to ensure that all agents in the team format customer data consistently before running syncs.

Q: How does the crew know which payment processors are active?

The monitoring agent calls listactiveintegrations to check the status of your connected payment gateways. If an integration goes offline, the agent alerts the rest of the crew to route transactions elsewhere.

Run autonomous agent teams with CrewAI to audit catalogs, build custom bundles, and sync revenue pipelines.

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Connect Nue.io Revenue MCP to CrewAI

Create your Vinkius account to connect Nue.io Revenue 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 Nue.io Revenue with CrewAI

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Multi-agent catalog audits via CrewAI

The `list_catalog_products` tool allows a specialized research agent to scan your entire published catalog. This tool provides the raw product data that your crew needs to identify outdated SKUs or pricing errors. Once the research agent gathers the list, the CrewAI framework processes the data. This MCP Server ensures your sales catalog remains clean and accurate without human oversight.

Autonomous bundle building

The `list_product_bundles` tool lets your agents design custom promotional packages by pulling active configurations. The creator agent pulls existing bundles to see what combinations are already configured in your system. After reviewing the options, the agent can recommend new bundle structures to your sales team. Because the crew has access to actual catalog data, the recommendations are always technically feasible.

Map metadata sources across systems

The `list_metadata_source_objects` tool gives your agents the exact schema mapping they need to align external CRM data with Nue.io. The data sync agent reads these source objects to verify that customer fields match. This direct mapping prevents data misalignment when transferring customer accounts. Your crew uses this MCP Server to translate and format records automatically.

Setup guide

Set up Nue.io Revenue 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 Nue.io Revenue tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Nue.io Revenue 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 Nue.io. 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 Nue.io Revenue MCP in CrewAI

You assign specific tools to different agents in your crew. For example, a billing agent uses `list_revenue_workflows` to monitor active cycles, while a product agent uses `list_catalog_products` to track stock and catalog changes.

The crew can read pricing configurations using `list_product_price_tags` and identify discrepancies. While this server is read-focused, your agents use this data to draft price updates and flag them for human approval.

The `list_metadata_source_objects` tool provides the exact mapping schemas to your agents. CrewAI uses this shared memory to ensure that all agents in the team format customer data consistently before running syncs.

The monitoring agent calls `list_active_integrations` to check the status of your connected payment gateways. If an integration goes offline, the agent alerts the rest of the crew to route transactions elsewhere.

The server only retrieves catalog structures, price tags, and workflow metadata via `list_product_price_tags` and `list_catalog_products`. Your actual customer credit card details and bank transactions remain completely inaccessible to the autonomous crew.

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