How to Use the Nubarium MCP in CrewAI

Q: Can I use CrewAI to track Nubarium API limits?

Set up a monitor agent that calls getapiusage every hour. It will alert you if you approach your quota.

Deploy autonomous identity verification crews with Nubarium and CrewAI.

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Connect Nubarium MCP to CrewAI

Create your Vinkius account to connect Nubarium 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 Nubarium with CrewAI

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Perplexity

Specialized identity research crews

Assign an agent to verify identities using `validate_mex_curp` while another agent processes corporate filings. They share memory to ensure the validation is consistent. This removes the need for a single agent to do everything. Your crew handles the heavy lifting of Mexican data verification while you monitor the output.

Automated corporate monitoring

Set up a crew to run `search_mex_companies` on a schedule. Agents alert you if a target entity's status changes in the registry. It runs in the background. You get updates on legal representative changes via `validate_mex_legal_representative` without lifting a finger.

Hierarchical validation pipelines

Structure your agents so a lead moderator reviews the output of `validate_mex_rfc` tasks. The moderator makes the final call on identity acceptance. This creates a clear chain of command. You define the rules, and the crew executes the audit process autonomously.

Setup guide

Set up Nubarium 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 Nubarium tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL in your agent's MCP list. The agents will automatically discover the tools and start collaborating.

Yes. The shared memory feature allows one agent to validate an RFC and pass the result to the next agent for further analysis.

You can restrict your agents to specific tools. This ensures your research agents only use the search functions, not the validation ones.

The server architecture ensures that all identity data is ephemeral. It is never logged or stored after the agent completes the task.

Set up a monitor agent that calls `get_api_usage` every hour. It will alert you if you approach your quota.

Use it with your favorite AI tools

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

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