How to Use the Fig Finance MCP in Mastra AI

Q: How do I audit Fig Finance loans in Mastra AI?

Use the listloans and listtransactions tools within your workflow. You can pipe these into a monitoring agent for automated reconciliation.

Build resilient lending workflows in Mastra AI with automated Fig Finance logic and conditional error handling.

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Connect Fig Finance MCP to Mastra AI

Create your Vinkius account to connect Fig Finance to Mastra AI 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 Mastra AI

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Perplexity

Conditional loan processing

Create complex workflows that adapt to real-world outcomes. If a loan application is rejected, your agent can trigger a retry or flag the user for review using `apply_for_loan` logic. Logic flow is explicit. You define the branches in your Mastra agent, ensuring that every edge case is handled without manual intervention.

Automated balance monitoring

Keep your liquidity in check with scheduled polling. Your agent uses `get_balance` to monitor your treasury and prevent over-disbursement. Retries are built-in. If the Fig Finance API hits a hiccup, the workflow engine automatically attempts the call again, keeping your operations steady.

Multi-step disbursement flows

Chain multiple tools to create a full lending pipeline. Start with `get_customer`, move to `get_loan_offers`, and finish with `disburse_funds`. Human oversight is optional. You can require approval for specific steps by setting up a human-in-the-loop gate before the final disbursement call.

Setup guide

Set up Fig Finance MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Fig Finance tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "fig-finance-mcp-client",
  servers: {
    "fig-finance-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Fig Finance Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Fig Finance tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Fig Finance transactions"
);
console.log(result.text);

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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.

Why Choose Vinkius

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Common questions about Fig Finance MCP in Mastra AI

Mastra AI uses a built-in workflow engine to handle retries. You can set exponential backoff for any Fig Finance tool call.

Yes, you simply import the MCP server into your Mastra agent configuration. It auto-detects the tool schema and makes them available.

You can add a requireToolApproval flag to the disbursement step. This forces a human to click confirm before money moves.

Use the `list_loans` and `list_transactions` tools within your workflow. You can pipe these into a monitoring agent for automated reconciliation.

Data is processed entirely in your private runtime. No Fig Finance customer records are stored or logged by the framework itself.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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