How to Use the Increase MCP in CrewAI

Deploy a crew of specialized agents to run your treasury with CrewAI and this MCP Server.

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Connect Increase MCP to CrewAI

Create your Vinkius account to connect Increase 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 Increase with CrewAI

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Perplexity

Multi-Agent Treasury Operations

`increase_list_transactions` allows your audit agent to extract complete financial histories without manual CSV exports. A separate moderator agent reviews this transaction history and flags unusual activity for review. These specialized agents collaborate in real-time, sharing memory to track ongoing financial trends. You get autonomous monitoring that keeps your books balanced without constant human supervision.

Collaborative Fund Routing

`increase_create_wire` lets your execution agent send urgent payments while another agent monitors the account balance. The monitoring agent uses `increase_get_balance` to ensure the account has sufficient funds before authorizing the wire. This division of labor prevents overdrafts and transaction failures. The agents coordinate their actions sequentially to maintain strict compliance with your internal treasury rules.

Automated Sandbox Testing

`increase_simulate_inbound_ach` triggers a mock inbound ACH transfer inside your sandbox environment to test your agent's response. You run this alongside `increase_simulate_inbound_wire` to verify that your automated escalation paths handle incoming funds correctly. Your crew runs these simulations autonomously to stress-test your financial workflows. You verify your code works under heavy load before connecting to live banking rails.

Setup guide

Set up Increase 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 Increase tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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

    task = Task(
        description="List recent Increase 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 Increase. 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 Increase MCP in CrewAI

You assign specific tools to different agents in your crew. One agent checks balances, while another handles outbound transfers, coordinating their actions through shared memory.

Yes. You deploy a specialized crew where one agent pulls transaction histories and another reconciles them against your internal database records.

You configure a moderator agent to oversee all wire transfers. The moderator checks the transfer details against your budget rules before allowing the execution agent to proceed.

Pass your Vinkius HTTP endpoint URL directly into your crew's configuration. The framework automatically exposes the bank tools to your designated agents.

All communications with the banking API are encrypted in transit and execute within temporary sandboxed environments. Your virtual card numbers and routing details are processed in memory and never written to persistent logs.

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