How to Use the Mambu MCP in CrewAI

Q: How do I limit which Mambu tools a CrewAI agent can see?

Use the toolfilter option in your transport configuration. This lets you restrict specific agents to read-only access if you want to keep them away from sensitive commands.

Deploy a specialized crew of autonomous agents to manage your Mambu banking operations.

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Connect Mambu MCP to CrewAI

Create your Vinkius account to connect Mambu 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 Mambu with CrewAI

Ask AI about this MCP

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Claude

Perplexity

Collaborative account auditing

Assign one CrewAI agent to `list_loan_accounts` and another to analyze the results. They share memory to ensure the second agent understands the context of the first. This is how you scale your operations. One agent does the digging, the other does the thinking, and you get the final report.

Automated client communication

Use `list_communications` to let your agents review past client interactions before drafting a response. They can see what was sent and when. Your agents stay informed. They don't repeat work and they don't send conflicting updates to your banking customers.

Direct activity monitoring

Configure an agent to poll `list_activities` and flag suspicious patterns. You define the rules, and the crew watches the platform 24/7. It removes the need for manual oversight. Your agents flag the issues, and you only jump in when they escalate a problem.

Setup guide

Set up Mambu 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 Mambu tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Yes, you can give your agents access to the entire toolset. They will choose the right tool based on the task description you provide.

Use the tool_filter option in your transport configuration. This lets you restrict specific agents to read-only access if you want to keep them away from sensitive commands.

They use shared memory to pass context between agents. Once one agent fetches data, the rest of the crew can reference it for their specific tasks.

The framework tracks the execution history of your agents. You can see which tool was called, when it happened, and what the output was.

Your transaction data remains transient within the agent session. We enforce strict data handling where records are purged from the agent's active memory once the task is complete.

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