How to Use the Monnify MCP in CrewAI

Deploy autonomous payment teams using CrewAI and the Monnify MCP server to manage high-volume financial operations.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Monnify MCP to CrewAI

Create your Vinkius account to connect Monnify 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.

GDPR Free for Subscribers

Setup Monnify with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous CrewAI payment operations

Assign a specialized agent to manage your Monnify account reservations. By using the `reserve_account` tool, the agent creates virtual accounts based on your specific business requirements without manual intervention. This allows your crew to scale operations horizontally as your transaction volume increases.

Collaborative transaction monitoring

Your research agent pulls data via `list_transactions` while a separate analysis agent evaluates the results. They share memory to identify patterns or missed payments efficiently. This collaborative approach ensures your financial data stays accurate, with agents acting as a check-and-balance system for your daily settlements.

Automated settlement and bank reconciliation

Let your crew handle the heavy lifting of bank lists and settlement reports. Agents use `list_banks` and `list_settlements` to keep your records current and ready for audit. It removes the need for manual data entry, letting your agents handle the repetitive tasks that usually slow down your finance team.

Setup guide

Set up Monnify 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 Monnify tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Monnify 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 Monnify. 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.

Why Choose Vinkius

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

Connect Monnify now

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 Monnify MCP in CrewAI

You pass the MCP server URL to your agent definition. You can then use tool filters to ensure only specific agents, like the finance manager, have access to `init_payment`.

Yes, they use shared memory to track reserved accounts. One agent can request a reservation via `reserve_account` while another updates your internal CRM based on the response.

It does. Your crew can execute steps in order, where one agent confirms a transaction status using `get_transaction` before the next agent proceeds with a disbursement.

The server is ephemeral and runs in a hardened sandbox. We only expose the minimum required data to your agents, ensuring your financial account information remains secure.

Your transaction data is processed in real-time and never logged permanently on our servers. Your security relies on the ephemeral nature of the MCP connection, keeping your sensitive financial records private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript