How to Use the Fig Finance MCP in OpenAI Agents SDK

Q: Can I cache the Fig Finance tool list in my OpenAI Agents SDK setup?

Yes, set cacheToolsList=True in your HTTP server parameters to prevent the OpenAI Agents SDK from fetching the tool definitions on every single turn. This reduces latency when your OpenAI agent queries getme or getcustomer in Fig Finance.

Deploy production-grade loan agents using OpenAI Agents SDK to safely trigger Fig Finance disbursements with built-in execution guardrails.

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Connect Fig Finance MCP to OpenAI Agents SDK

Create your Vinkius account to connect Fig Finance to OpenAI Agents SDK 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 OpenAI Agents SDK

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Safe Embedded Lending via OpenAI Agents SDK

You do not want an autonomous OpenAI Agents SDK system running wild with your Fig Finance treasury. This integration links the OpenAI Agents SDK directly to Fig Finance, letting you set hard guardrails before your OpenAI agent calls `disburse_funds` or `apply_for_loan`. By passing the Fig Finance MCP Server into your OpenAI Agents SDK agent constructor, the model instantly learns how to query `get_loan_offers` safely. If a customer fails your OpenAI safety criteria, the agent halts the Fig Finance process immediately to prevent bad credit exposure.

Automated Customer Verification and Onboarding

Managing borrower profiles requires strict coordination between your OpenAI Agents SDK database and the Fig Finance lending pipeline. Your OpenAI Agents SDK setup automates this by running `create_customer` in Fig Finance the moment a user signs up. The OpenAI agent then verifies the registration using `get_customer` to ensure all borrower details match your Fig Finance records. If the customer already exists, the OpenAI model pulls their history with `list_customers` to avoid duplicate Fig Finance profiles.

Proactive Repayment and Balance Auditing

This MCP server lets your OpenAI Agents SDK system use `get_repayments` to monitor upcoming Fig Finance dues and flag late accounts automatically. The OpenAI agent can then hand off the task to a specialized collection assistant if it detects a missed Fig Finance payment. To keep your OpenAI operations funded, the agent constantly runs `get_balance` to monitor your Fig Finance liquidity. It correlates this data with `list_transactions` to build a real-time picture of your Fig Finance cash flow without requiring human supervision of your OpenAI system.

Setup guide

Set up Fig Finance MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Fig Finance tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Fig Finance tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Fig Finance tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Fig Finance Agent",
            instructions="You have access to Fig Finance tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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.

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Common questions about Fig Finance MCP in OpenAI Agents SDK

Install the package and initialize the server streamable HTTP parameters with your Fig Finance endpoint. Pass this server instance directly into your OpenAI Agents SDK agent constructor to auto-discover tools like `get_balance` and `list_loans` instantly.

Yes, you can write guardrails in your OpenAI Agents SDK configuration to check `list_loans` before executing `apply_for_loan`. If an active Fig Finance loan already exists for that user ID, the OpenAI agent blocks the call.

You can build one OpenAI Agents SDK agent to monitor repayments using `get_repayments` and another to handle customer outreach. If the first agent finds a missed Fig Finance payment, it hands the conversation off to the outreach agent with the Fig Finance customer ID.

Yes, set `cacheToolsList=True` in your HTTP server parameters to prevent the OpenAI Agents SDK from fetching the tool definitions on every single turn. This reduces latency when your OpenAI agent queries `get_me` or `get_customer` in Fig Finance.

Your Fig Finance customer profiles and loan status records are processed inside a zero-trust, ephemeral V8 isolate. The OpenAI Agents SDK communicates with the MCP server via a secure, single-token endpoint, meaning your Fig Finance data never sits in a persistent external database.

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