How to Use the Modulr MCP in CrewAI
Run autonomous multi-agent financial operations using CrewAI and the Modulr MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Modulr MCP to CrewAI
Create your Vinkius account to connect Modulr 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.
Multi-agent reconciliation and execution
Divide and conquer your back-office tasks. You can set up a CrewAI team where a reconciliation agent monitors ledger histories with `modulr_get_transactions` while a payout agent executes batch transfers using `modulr_create_payment`. The agents share context and memory. If the auditor agent spots a discrepancy, it instructs the payout agent to hold off on running `modulr_list_payments` until the ledger matches.
Automated vendor onboarding with CrewAI
Let specialized agents handle partner setup. A compliance agent can inspect new profiles with `modulr_get_customers`, while a setup agent registers their bank details using `modulr_create_beneficiary`. This multi-agent setup ensures that no beneficiary is mapped until the customer profile is fully validated. The CrewAI framework manages the handoffs, passing data between the tools without friction.
Autonomous ledger management with CrewAI
Manage complex virtual account structures without manual intervention. Your agent crew can monitor incoming volumes and dynamically spin up new EUR or GBP wallets using `modulr_create_account` when specific thresholds are met. By exposing the Modulr MCP Server to your crew, you enable autonomous liquidity routing. The agents track live balances across your setup using `modulr_get_accounts` and rebalance funds as needed.
Set up Modulr MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Modulr tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Modulr Analyst",
goal="Access and analyze Modulr data via MCP.",
backstory="Expert analyst with direct Modulr access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Modulr transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="Modulr Analyst",
goal="Access and analyze Modulr data via MCP.",
backstory="Expert analyst with direct Modulr access.",
tools=mcp_tools,
)
task = Task(
description="List recent Modulr transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Modulr Finance. 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 Modulr MCP in CrewAI
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