How to Use the Fintoc MCP in CrewAI

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

You pass the server URL directly into the agent's mcps list to connect to the MCP Server. This grants that specific agent access to the bank integration while keeping other agents restricted.

Q: How do I restrict which Fintoc tools a CrewAI agent can access?

You use MCPServerHTTP from the framework's tool library along with a toolfilter. This lets you limit an agent to read-only tools like listing accounts while blocking payment creation.

Deploy a team of autonomous financial agents to audit bank accounts and process payments with Fintoc and CrewAI.

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Create your Vinkius account to connect Fintoc 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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Collaborative banking audits in CrewAI

Your specialized agents analyze bank feeds using `list_movements`, `get_movement`, and `list_accounts` to reconcile company expenses. An auditor agent gathers the ledger entries, while an analyst agent flags discrepancies. This multi-agent setup lets your team run background audits without manual supervision. The agents share context and memory, meaning the analyst knows exactly what the auditor found.

Autonomous payment coordination

This MCP Server manages payment flows using `create_payment_intent` and `get_payment_intent` to settle vendor invoices. One agent reads incoming invoices, while a manager agent approves and executes the bank transfer. By delegating these tasks to a dedicated crew, you eliminate manual data entry. The agents handle the entire lifecycle, from checking the balance to confirming the final payment status.

Multi-institution bank monitoring

The agents track connection health using `list_institutions`, `list_links`, and `get_link` to check bank status. If a bank link goes down, a monitoring agent notifies your engineering team while a backup agent reroutes pending transactions. This setup ensures your financial pipelines never halt due to a single bank outage. Your agents operate independently, keeping your workflows online 24/7.

Setup guide

Set up Fintoc 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 Fintoc tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Fintoc 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 →

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Common questions about Fintoc MCP in CrewAI

You pass the server URL directly into the agent's `mcps` list to connect to the MCP Server. This grants that specific agent access to the bank integration while keeping other agents restricted.

Yes, agents share access to the configured MCP tools and pass execution results through their shared memory. One agent can pull bank movements while another processes payment intents.

You use `MCPServerHTTP` from the framework's tool library along with a `tool_filter`. This lets you limit an agent to read-only tools like listing accounts while blocking payment creation.

Yes, the server handles requests regardless of how you structure your team's execution. Whether you use a manager agent or a direct pipeline, the banking tools respond instantly.

The connection runs through an ephemeral sandbox that processes data in memory without persistent logs. Your sensitive bank transfer details and account balances are never exposed to external networks.

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