How to Use the Brankas MCP in CrewAI

Deploy autonomous finance crews with the Brankas MCP Server and CrewAI.

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Connect Brankas MCP to CrewAI

Create your Vinkius account to connect Brankas 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 Brankas with CrewAI

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Claude

Perplexity

Specialized finance agents for CrewAI

Assign a dedicated agent to manage your bank statement analysis using `get_statement`. Another agent can handle the `get_balance` checks to keep the crew informed. This separation of concerns ensures your research agent stays focused on data. Your execution agent only acts when the data is ready.

Autonomous payout management

Let your crew handle disbursements without human oversight. Agents use `inter_bank_transfer` to move funds based on the research performed by their peers. They share memory, so the execution agent knows exactly what the research agent found. This prevents redundant checks.

Governance and moderation

Set up a moderator agent to approve actions before they execute. Use `get_transaction` to verify the state of every payout before the crew marks the task as done. Your crew maintains a audit trail of every tool call. You see exactly what happened and when.

Setup guide

Set up Brankas 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 Brankas tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL into your Agent definition. You can filter which tools each agent gets to keep the team focused on specific tasks.

The server uses isolated memory for each agent session. Your financial records are purged the moment the crew finishes the task.

You can use tool filters to ensure only your executive agent has access to payment tools. Your research agents can be limited to read-only tools.

The MCP integration supports sequential and hierarchical execution. Your manager agent can delegate tasks to the worker agents seamlessly.

Every request requires a valid endpoint token. Your agents operate within a sandbox that prevents unauthorized external calls.

Use it with your favorite AI tools

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