How to Use the Mercury MCP in CrewAI

Q: How do I add Mercury MCP tools to a CrewAI agent?

Pass the Vinkius server URL directly inside your Agent's mcps array parameter. This exposes tools like listtransactions to that specific role instantly.

Q: Can a CrewAI agent create a Mercury recipient?

Yes, an agent assigned to operations can invoke createrecipient. You should use a moderator agent to supervise this tool call to ensure compliance.

Q: Can I filter which Mercury tools a crew can access?

Yes, use MCPServerHTTP from crewai.mcp to restrict access. You can block createrecipient while allowing read-only access to listaccounts.

Run specialized CrewAI agent teams to audit Mercury transactions and reconcile balances autonomously.

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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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Setup Mercury with CrewAI

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Perplexity

Audit transaction ledgers with CrewAI agents

An auditor agent calls `list_transactions` to pull recent ledger activity while an analyst agent compares those records against your internal database. CrewAI's shared memory allows these agents to trade findings instantly. When a discrepancy appears, a third agent executes `get_transaction` to pull the precise metadata for the flagged item. The crew resolves the query without requiring manual back-and-forth — it's that simple.

Reconcile balances with a Mercury MCP Server

This MCP Server lets your treasury agent monitor cash flow by regularly calling `get_treasury_balance`. If liquidity dips, the agent communicates with your account manager agent to pull the complete ledger via `list_accounts`. The entire process runs on a schedule inside your Python environment. You get a daily financial health report compiled by specialized roles instead of a generic script.

Automate recipient verification across CrewAI teams

A compliance agent runs `list_recipients` to check for unverified payees. If a new entry is needed, the coordinator agent triggers `create_recipient` after checking the team roster with `list_team_members`. By dividing these tasks, you prevent a single agent from having unilateral control over your banking setup. This mimics real-world corporate controls within your code.

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

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 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)

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="Mercury Analyst",
        goal="Access and analyze Mercury data via MCP.",
        backstory="Expert analyst with direct Mercury access.",
        tools=mcp_tools,
    )

    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)

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 Mercury. 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 Mercury MCP in CrewAI

Pass the Vinkius server URL directly inside your Agent's `mcps` array parameter. This exposes tools like `list_transactions` to that specific role instantly.

Yes, an agent assigned to operations can invoke `create_recipient`. You should use a moderator agent to supervise this tool call to ensure compliance.

The framework distributes tool calls across multiple specialized agents. This natural pacing prevents your application from spamming `get_treasury_balance` and hitting API thresholds.

Yes, use `MCPServerHTTP` from `crewai.mcp` to restrict access. You can block `create_recipient` while allowing read-only access to `list_accounts`.

Your transaction histories and bank balances are processed through an ephemeral, zero-trust MCP sandbox. No financial data is ever stored permanently on the Vinkius platform.

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