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How to Use the Mercury MCP in CrewAI

Deploy autonomous banking crews in CrewAI to monitor and manage your Mercury financial operations.

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CrewAI

Connect Mercury MCP to CrewAI

Create your Vinkius account to connect Mercury 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 financial monitoring

Assign a researcher agent to `list_transactions` while a moderator agent watches for anomalies. The crew shares memory, so they act as a single unit. This is how you scale finance without adding headcount. One agent digs into the data, and the other makes the call.

Autonomous invoice processing

Let a specialized agent iterate through `list_invoices` to identify overdue payments. The agent handles the discovery while your crew manages the next steps. You define the goal, and the agents use the tools to track down the status. It turns a manual chore into an autonomous background task.

Role-based treasury oversight

Use `get_balance` and `list_accounts` to keep your treasury team updated. You assign the tools to specific agents based on their role in the crew. This keeps your operations organized. Each agent only has access to the tools it needs to complete its part of the task.

Setup guide

Set up Mercury MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 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. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Mercury tools as needed.

crew.py
from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Mercury transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Mercury MCP in CrewAI

Simply pass the server URL in the agent's MCP configuration list. The crew will recognize the tools and start using them based on your instructions.
Yes. You can grant specific tools to any agent in your crew. This allows for hierarchical execution where one agent acts as the primary tool user.
The agents share context from their tool usage. If one agent fetches data via `get_account`, the entire crew can reference that info for their tasks.
Use the tool filter feature in the MCP server configuration. You decide exactly which of the eight tools each agent can call.
The data is handled in your local execution environment. Your banking tokens remain in your environment, and the MCP server ensures secure, direct communication.

Start using the Mercury MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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We've already built the connector for Mercury. Just plug in your AI agents and start using Vinkius.

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