How to Use the Fig Finance MCP in CrewAI

Deploy autonomous agent crews to manage Fig Finance operations and loan oversight with CrewAI specialization.

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Connect Fig Finance MCP to CrewAI

Create your Vinkius account to connect Fig Finance 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 Fig Finance with CrewAI

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Perplexity

Specialized lending agent crews

Assign distinct roles to your agents. One agent manages `list_customers` and `get_customer`, while another evaluates offers via `get_loan_offers`. Communication is internal. Agents share memory to ensure the disbursement agent knows exactly which customer and loan offer the research agent selected.

Automated loan reconciliation

Let a monitor agent watch your financial state. It periodically calls `list_transactions` and `get_repayments` to ensure every loan is performing as expected. Action is decisive. If the monitor detects a missed payment, it escalates the issue to a manager agent for immediate resolution.

Autonomous account management

Handle your entire Fig Finance account lifecycle with a crew. Agents perform routine tasks like `get_me` to verify connectivity and status. Operations run 24/7. Your crew handles the heavy lifting of loan administration, freeing you to focus on high-level strategy.

Setup guide

Set up Fig Finance 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 Fig Finance tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Fig Finance 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 Fig 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.

Why Choose Vinkius

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Fig Finance MCP in CrewAI

You define a crew with specialized agents. Each agent gets access to a subset of Fig Finance tools based on their specific role.

Yes, you can designate a specific agent as the executor. This agent holds the authorization to trigger `disburse_funds` after the crew reaches consensus.

It is straightforward. You pass the server URL directly to your agents, and they immediately gain the ability to call the API tools.

CrewAI agents use shared memory. When one agent retrieves a balance via `get_balance`, the rest of the team can access that figure.

Your agent memory is isolated to your local environment. Fig Finance customer loan details are never shared outside your specific agent crew.

Use it with your favorite AI tools

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