How to Use the Column MCP in CrewAI
Run a team of specialized agents to manage Column banking operations autonomously using CrewAI and the Column MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Column MCP to CrewAI
Create your Vinkius account to connect Column 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.
Collaborative ledger auditing using CrewAI
The `column_get_balance` tool lets your financial auditor agent check settled funds across your entire portfolio. In CrewAI, this agent works alongside a compliance agent to verify ledger health. While one agent pulls balances, another uses `column_list_transfers` to sweep historical ACH operations. They compare the numbers, spot anomalies, and compile a report without human developers writing manual glue code.
Multi-agent payout routing with this MCP Server
The `column_create_check` tool allows your accounts payable agent to generate and mail physical checks to legacy vendors. Another agent in the crew monitors the ledger to ensure sufficient funds exist before printing. For modern vendors, the crew uses `column_create_ach_transfer` to route funds digitally. CrewAI manages the delegation, letting agents decide the cheapest and fastest payout method based on the vendor's profile.
Autonomous KYC screening in CrewAI
The `column_list_entities` tool lets your compliance agent view active KYC profiles under your bank charter. When a new user signs up, the agent automatically triggers `column_create_entity` to start screening. If the screening flags an issue, the agent alerts your operations manager agent to review the profile. CrewAI handles the entire multi-agent escalation path natively.
Set up Column 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 Column tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Column Analyst",
goal="Access and analyze Column data via MCP.",
backstory="Expert analyst with direct Column access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Column 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="Column Analyst",
goal="Access and analyze Column data via MCP.",
backstory="Expert analyst with direct Column access.",
tools=mcp_tools,
)
task = Task(
description="List recent Column 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 Column. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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60%
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Common questions about Column MCP in CrewAI
Use it with your favorite AI tools
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